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1
Automotive Artificial Intelligence (AI)
Full Stack Software
2
Table of Contents
1 Market Overview
2 Geographic Landscape
3 Technology Overview
4 Paradigm Shift
5 Opportunities and Threats
6 Market Participants
7
Company Profiles8
M&A and Private Placements
2-7
8-11
12-17
18-20
21-25
26-29
37-82
30-36
3
1.
Automotive AI Software
Market Overview
4
Automotive AI – Introduction
Source: Capgemini, Allied Market Research, MarketsandMarkets, Mordor Intelligence, Fierce Electronics
Artificial intelligence (AI) is a collective term for the capabilities shown by learning systems that are perceived by humans as representing intelligence. Automotive AI software helps in infusing intelligence in automotive that powers an AI revolution in the automotive industry. Automotive AI software drives four disruptive and mutually reinforcing trends: autonomous driving, connectivity, electrification, and shared mobility .
Market Definition
Autonomous objects
Image and video recognition
Natural language processing
Speech
Augmented creativity
Conversational agents
Prescriptive modeling
Smart automation
Advanced simulation
Complex analytics and predictions
Typical AI capabilities
5
Automotive AI Software – Market Overview (1/2)
Source: Deloitte
• Revenue from automotive AI software, hardware, and services will increase from USD 2.0bn in 2018 to USD 26.5bn by 2025, representing a compound annual growth rate (CAGR) of 46.9%
− Such growth will be driven by growing acceptance of self-driving vehicles, and in-car assistants driven by natural language processing and machine learning techniques
• New players from the tech sector are entering the stage in the automotive industry, while traditional manufacturers and suppliers are trying hard to continuously shorten development cycles and to catch up with the inevitable move into the new software era
• Tech giants such as NVIDIA and Intel; internet players such as Google (Waymo); and new mobility startups such as Aurora, Cruise, and Uber are reaping the rewards of an entirely new future mobility era
• Companies such as Alphabet Inc. (US), Microsoft Corporation (US), Waymo (US), drive.ai (US), and NVIDIA (US) are among the frontrunners in the development of AI software for the automotive industry
Automotive AI Software, Hardware, and Services Market (2016-25)
• North America is likely to be one of the significant contributors to the automotive AI market
− The growth is anticipated to be driven by two primary factors: rapid development of autonomous vehicle technology and the strict government regulation for road safety
• The automotive AI market is expected to grow at a high rate in APAC between 2017 and 2025
− APAC’s massive population, fast-growing economies, and rising living standards are well positioned to ride the AI wave
− The Asian countries such as South Korea, Japan, China, and India possess strong technological capabilities, due to which major technology leader in the market are investing in these countries
− Presence of established automakers such as Toyota (Japan), Hyundai Motor Company (South Korea), and Honda Motor Company (Japan) supports further growth in automotive AI market in the region
CAGR
Historic data Forecast
Au
tom
oti
ve A
I Mar
ket
Size
[U
SD b
n]
6
Automotive AI Software – Market Overview (2/2)
Source: Deloitte
Autonomous Vehicle Sales (2016-25)
• According to a report from Tractica, autonomous driving will be a leading impetus for AI spending in the automotive industry that will significantly boost the demand for AI
• Increasing government regulations for vehicle safety, growing adoption of ADAS technology by OEMs, and rising demand for enhanced user experience play a significant role in the growth of the automotive AI market
• Growing volume of ADAS systems and autonomous vehicle sales is expected to support positive growth in AI software market during 2016-25
− Most industry forecasts predict tripling of advanced driver assist system (ADAS) revenues during 2016-25
• Automotive manufacturers are forging the path to high and full automation based on previous experience regarding driver assistance systems
• Key applications encompass automotive human machine interaction (HMI) functionality (voice/speech recognition, driver face analytics, emotion recognition, and gesture recognition), maintenance and safety applications (predictive maintenance, automated on-road customer service, and vehicle network and data security), and personalized services in cars
ADAS System Sales Volume (2021-40)
8
13
18
26
0
5
10
15
20
25
30
2016 2019 2022 2025
Sale
s (
in U
SD
bn)
30
20
10
0
Annual Sales Volume (in Mn.)
1
33
2021 2025 2040
7
Automotive AI Software – Market Growth
Source: Micro News
• Over the next 10 years, the automotive AI software market is expected to receive growing investments from robotics market that will remain the main revenue generator for AI in automotive with the development of robot taxis and shuttles
• Further, infotainment computing is expected to showcase strong growth in revenues; however, embedded in-car computing is likely to witness considerable growth
Automotive AI Computing: 2018-28 Revenues Breakdown by Markets
2018USD 174mn
CAGR (2018-28)+49%
2028USD 13,800mn
USD 155mn
USD 18.5mn USD
0
USD 9,400mn
USD 3,700mn
USD 770mn
Robotics vehiclesInfotainmentADAS vehicles
Real-time applicationperformance management e.g.,
predictive/preventive load balancing
8
Automotive AI – Use Cases by Function
Source: Capgemini Research Institute-AI in Automotive Executive Survey – December 2018-January 2019
Use cases where AI has potential in automotive industry across the value chain
Research & Development, and Engineering
Emission control/fuel efficiency improvement/power efficiency (for electric cars)
Predict outcome using simulations to reduce experimental R&D costs (e.g., component tasting, track testing)
Support augmented/mixed reality applications for plant and machinery maintenance
Predictive maintenance for equipment to reduce manufacturing downtime
Mobility Services
Quality control of supplies and finished goods e.g., automated visual inspection
Predict and forecast orders thereby reducing excess stock
Predict best possible additional products/services
offer for an existing customer
Provide recommendations of new and innovative products
and services
Marketing/Sales
Supply Chain
Machine/vehicular object detection/identification/avoid
ance
Smart sensors to detect any technical/medical emergency situations inside the car
Improve fleet management for B2B services
Autonomous robots delivering parcels using mobile lockers
Cybersecurity (e.g., proactive threat detection and response)
Information Technology
9
2.
Automotive AI Software
Geographic Landscape
10
Automotive AI Software – Potential Countries
Source: Capgemini Research Institute-AI in Automotive Executive Survey – December 2018-January 2019
• The US leads the way in terms of progress, with 25% of companies implementing AI at scale and 25% at a selective level
− Such growth in the AI adoption will support significant rise in the level of automotive AI software integration
• The UK and Germany follow America’s lead, but China has also nearly doubled its share of scaled AI implementations (from 5% to 9%). This increase in scaled AI implementation in China is the most-pronounced growth trend across all countries
− Strong growth in the automotive AI market in other major countries highlights the significance of AI software worldwide
US, UK, and German Automotive Companies Lead in Implementing AI at Scale
25%14% 12% 10% 9% 8% 5% 2%
25%39%
25% 35% 31%18% 21%
14%
36% 34%
30%
42%
17%
26% 20%
17%
13% 12%
32%
13%
44% 49%54%
67%
0%
20%
40%
60%
80%
100%
120%
US UK Germany Sweden China France Italy India
Imp
lem
enta
tio
n (
in %
)
State of AI Implementation at Automotive Organization – By Country (2018)
Scaled Implementation Selective Implementation Pilots and POCs Not Implementing any AI Initiative
11
Automotive AI Software – Geographic Concentration
Source: Capgemini Research Institute-AI in Automotive Executive Survey – December 2018-January 2019
The US leads the scaled AI software development, followed by the UK and major European countries including Germany, Sweden, France, and Italy.
Scaled Development
25%
14%
8%
10%
9%
1%
US
UK
France
Sweden
Germany
12%Italy
5% India
China
12
Automotive AI – Investments in AI-Led Startups
Source: Capgemini Research Institute-AI in Automotive Executive Survey – December 2018-January 2019
• German, Japanese and US based automotive companies are making the significant investments in advanced technologies, while AI startups in the US, Netherlands and Singapore are attracting the greatest interest
• China-based automotive AI startups companies and private equity/venture capital firms are also attracting huge amounts of capital from technology
Automotive companies from Germany, Japan and US lead in investing in AI-led startups
16
25
41
152
205
270
416
2,285
3,287
4,028
0 1,000 2,000 3,000 4,000 5,000
France
UK
India
China
Canada
S.Korea
Ireland
US
Japan
Germany
Top Acquirer Countries by Amount Invested 2014-18 (USD mn)
7
10
43
105
202
373
983
1,250
2,795
5,400
0 1,000 2,000 3,000 4,000 5,000 6,000
New Zealand
UK
Greece
Belgium
China
Israel
Japan
Singapore
Netherlands
US
Top Target Countries by Amount Invested 2014-18 (USD mn)
13
3.
Automotive AI Software
Technology Overview
14
Automotive AI Software – Technology Overview (1/2)
Source: Ignite Outsourcing
Driving features
▪ AI lends itself perfectly to powering advanced safety features for connected vehicles
The application of artificial intelligence platforms ensure data is available when needed
▪ AI speeds up the process of filing claims when accidents do occur
Robots are driving optimization and the rethinking of processes and production in innovative new ways
▪ AI software detects driver behavior in four key areas: driver identification, recognition, monitoring and infotainment control
Cloud Services
Automotive Insurance Car Manufacturing
Driver Monitoring
Automotive AI – Application Areas
15
Automotive AI Software – Technology Overview (2/2)
Source: Waymo, Bloomberg, Biz Journals, Owler, Tech Crunch
Automotive AI Software – Key Applications
Driver assist Driverless vehicles Autonomous vehicles Connected vehicles Manufacturing Quality control
Supply chain Engineering Safety Virtual desktop infrastructure
Vehicle insurance Virtual testing and simulation
Vehicle localization and mapping
Automated on-road customer service
Face analytics and emotion recognition
Gesture recognition Predictive maintenance
16
Automotive AI Software – Key Applications (1/3)
Source: Ignite Outsourcing
• AI lends itself to powering advanced safety features for connected vehicles that helps customers, manufacturers, and regulators in getting comfortable with AI as the driver
• AI can identify dangerous situations by monitoring dozens of sensors to alert the driver, or take emergency control of the vehicle in order to avoid an accident
• Various other features such as emergency braking, cross traffic detectors, blind spot monitoring, and driver-assist steering can help avoid accidents, and save lives in the processDriver Assist
• A number of automakers and automotive startups are working on AI applications for the automotive industry
• For instance, Google and Tesla are leading in the development of truly driverless cars
− Google’s Waymo forays into the autonomous vehicle market and focusing on their long term plan to achieve market dominance
− Tesla has succeeded in becoming a household name in the electric car market and the company is focusing on replicating similar practice for self-driving vehiclesDriverless Automobiles
AI Driving Features
• Unlike conventional vehicles, connected vehicles can do more than alert us with check engine lights, oil lights, and low-battery indicators
• AI monitors hundreds of sensors and is able to detect problems before they affect vehicle operation
− In October of 2018, Volkswagen and Microsoft announced a partnership, designed to transform the auto company into a digital service-driven business
− By tapping the power of Azure IoT, PowerBI, and Skype, Volkswagen plans to offer customer experience, telematics, and productivity solutions for the automotive market
Predictive Maintenance
AI Cloud Services
• AI-based cloud platforms offer the ideal solution to accurately target a captive audience of qualified prospects. In the advertising field, it doesn’t get any better than that
• With AI’s connection to big data, vehicle infotainment systems can be used to suggest products and services to drivers based on a wealth of raw data
• AI has the power to know the driver’s needs and wants, and to know when they are in close proximity to businesses that can serve themIndividualized Marketing
17
Automotive AI Software – Key Applications (2/3)
Source: Ignite Outsourcing
• AI levels the playing field for drivers by creating risk profiles based on drivers’ individual risk factors found in big data
• Rather than relying on driving history to set premiums, AI looks a myriad of less-obvious factors that can predict how safe a driver is likely to be
• AI can find issues in drivers that might not have affected the driver in the past but potentially impact in future
AI-Powered Driver Risk Assessment
• Auto claim app enables drivers to perform their own auto damage assessment for their insurance companies
• While a human insurance adjuster still must sign off on each claim, AI quickly informs the driver how to have their vehicle repaired, and what will be covered by insuranceDIY Auto Claims
AI Automotive Insurance
• AI is changing what a vehicle can do and how vehicles are built through Assembly line smart robots• Smart robots work with their human counterparts, rather than just along side of them• Collaborative robots use AI to sense what human workers are doing, and they adjust their motions to avoid
injuring their non-metallic co-workers• AI enables these autonomous delivery vehicles to identify objects in their paths, and to adjust their route
accordingly• AI empowers painting and welding robots to identify defects or irregularities in materials and to adjust
accordingly, or to alert quality control personnelVehicle Manufacturing
AI in Car Manufacturing
18
Automotive AI Software – Key Applications (3/3)
Source: Ignite Outsourcing
• AI enables vehicles to do more than watch the road and detects whether or not the driver is in the vehicle
• AI-based software uses deep learning to offer an absolute plethora of in-car automotive solutions
Driver Identification
Driver Monitoring
• The software can detect which driver is operating the vehicle using advanced AI facial recognition algorithms and accordingly adjust the seat, mirrors, and temperature to suit the individual preferences
• The software offers both stand-alone proprietary software, and hardware and software bundles
Driver Recognition
• AI software observes eye gaze, eye openness, and head position to detect distracted driving and alert the driver to keep their eyes on the road
• The software also detects drowsiness by eye openness and head position, allowing the system to wake the driver up if necessary
• Upper body detection detects the driver’s posture. In case of a crash, air bags can be deployed in a manner that will reduce injury based on how the driver is sittingDriver Monitoring
19
4.
Automotive AI Software
Paradigm Shift
20
Automotive AI Software – Growing Transformation
Source: Tractica, CIO
From Hardware to Software Focus: Average automotive product cycle time
• Earlier, the distribution of a car's added value between hardware and electrics, electronics (E/E) and software was approximately 95% compared to 5% respectively
• However, with the growing adoption of advanced in-vehicle AI-based features, the distribution is closer to 50% hardware and 50% E/E and software
• Along with the technological progression of the semiconductor industry, development of E/E as well as software has increased exponentially over the past two decades. At the same time, the average product cycle time has halved over the same period
21
Automotive AI Software – Growing Transformation
Source: Tractica, CIO
From Hardware to Software Focus: Average automotive product cycle time
• Earlier, the distribution of a car's added value between hardware and electrics, electronics (E/E) and software was approximately 95% compared to 5% respectively
• However, with the growing adoption of advanced in-vehicle AI-based features, the distribution is closer to 50% hardware and 50% E/E and software
• Along with the technological progression of the semiconductor industry, development of E/E as well as software has increased exponentially over the past two decades. At the same time, the average product cycle time has halved over the same period
ABS Electronicinjection
On-boardDiagnostics
HybridCars
Connectedcars
Autonomouscars
22
5.
Automotive AI Software
Opportunities and Threats
23
Automotive AI Software – Opportunities (1/2)
Source: Waymo, Bloomberg, Biz Journals, Owler, Tech Crunch
Driverless Cars
• AI is advancing at a fast pace in the automotive industry in line with growing development by tech firms that can help in the installation of self-sufficient automobiles
• Tech giants such as Google and Tesla are allocating significant spending on their R&D to come up with better technology and transform the dynamics of autonomous cars with more advanced features
Cloud Computing
• Cloud computing offers significant growth opportunities for staging and deploying AI technology in the automotive field including analytics, big data access and centralized connectivity
• GM and IBM are working on cloud-based AI platforms to make drivers’ life easier by identifying ways to find the desired objects/places, and recognizing the nearby places
The Internet of Things
• IoT in association with electrical components and software will allow automotive manufacturers to collaborate with software development teams and other firms in same sector
• The combination of AI with IoT devices will help manufacturers in updating vehicles with additional features including predictive maintenance, repair scheduling, identification of performance issues, using smart sensors to identify medical emergencies, and automatic toll collection
Machine Learning
• OEMs and various tier 1 and tier 2 suppliers are working on advancement of their product portfolio by integrating machine learning with the interconnected devices and machines to allow machines to act in a similar way the humans do
• For instance, Toyota has moved ahead by bringing together big data, machine learning and AI to generate highly sensitive autonomous systems that support in the movement for those to help an ageing population mobile and ensure they can still use their cars
24
Automotive AI Software – Opportunities (2/2)
Source: Waymo, Bloomberg, Biz Journals, Owler, Tech Crunch
Deep Learning
• Advanced technologies such as deep learning is gaining stronghold in automotive industry that helps split down tasks to make it easier to manage, copying the actions in the neuron layers of human brain, and advanced driving assistance systems and autonomous driving
• For instance, Nvidia and Bosch’s entered into partnership to work together for enhancing the quality and characteristics of autonomous vehicles
Infotainment System
• Infotainment systems provide significant opportunities in the areas including eye tracking, speech recognition, gesture recognition, monitoring driving, and database of natural languages
• The better quality hardware and software solutions compatible with AI are gaining importance on the face of growing demand for developing enhanced in-vehicle infotainment systems
• Market participants are finding scalable opportunities for developing infotainment human-machine interfaces connected to vehicles to monitor and operate according to the algorithms collected from cloud-based neural networks
Cognitive Capabilities
• Automotive industry offers opportunities for small cars and commercial vehicles to develop cognitive capabilities such as pattern identification, natural language interpretation and the ability to build knowledge
• For instance, BMW partnered with IBM to combine cognitive capabilities to its cars and help vehicles interact with each other through Big Blue’s Watson AI technology
• Implementation of AI-based functionalities is limited to some key functions since an expert system or rule-based approach is not optimal for all problems, and considerable knowledge is required to apply in any of the systems
• Currently, the industry lacks skilled resources to execute the most-critical tasks that is expected hinder the growth in the automotive AI implementation
• Automotive industry is facing limited integration of AI-based applications due to the associated higher costs of advanced hardware components since these components require significant costs and time to build, rebuild, and repair
• However, robotic repairs can occur to reduce time that may also eliminate the requirement of humans to fix it; however, transformation of robotic that'll cost more money and resources
• Rapid advances in AI is expected to automate several functions in the automotive manufacturing and operations that will lead to massive structural unemployment
• Significant structural unemployment is expected to discourage the fast-pace implementation of AI hardware and software implementation
• Such slow-down in the implementation of AI across various automotive applications is expected to negatively impact the adoption of automotive AI software
• The automotive industry is facing a major challenge due to digitalization driven by Big Data that is growing sizably from multiple connected sources and making it increasingly difficult to analyze and protect the connected car against cyber threats
• Such potential risk could be mitigated by leveraging AI and ML technologies for behavioral analysis of the data
25
Automotive AI Software – Challenges (1/2)
Source: Waymo, Bloomberg, Biz Journals, Owler, Tech Crunch
Concerns over cyber securityMassive structural
unemploymentTechnology limitation Increased cost
26
Automotive AI Software – Challenges (2/2)
Source: The National Academies of Science Engineering Medicine, Medium, Bloomberg
• Currently, managing the enormous amounts of data generated by these vehicles is a struggle
• Individual vehicles can generate terabytes of data every day. It can take days or even weeks for critical information needed by developers and data scientists to be identified and made available
• Artificial Intelligence (AI) has emerged as new ways to manage and exploit this information glut to enable vehicle owners enjoy a more contemplative life
• AI applications enable faster processing of large amounts of data and contribute directly to data analysis
• Creating maps for self-driving cars requires specialized code that are used for pre-mapping, which allows the car to perceive its environment
• These maps are very comprehensive that log every curb height, stop sign location, fire hydrant and lane marking within a centimeter so the car knows the area where it is driving
• Waymo, Uber, Drive.ai and almost every other driverless car company that relies on these maps are limited to very specific areas that have been mapped in such a detailed way since accuracy is a concern when it comes to pre-mapping
• The driverless car of the future can’t handle highly dynamic weather conditions
• For instance, snow alters the vehicle’s traction and also changes how the vehicle’s cameras and sensors perceive the street
• The major hurdle to the next phase of driverless technology might not come from algorithms and artificial intelligence—it might be due to fog and rain
Difficult to maintain the excellence during bad weather condition
Management of huge data sets
Creating maps for self driving cars
27
6.
Automotive AI Software
Market Participants
28
Automotive AI Software – Cooperation and Partnerships
Source: Deloitte
Daimler
FCA
Continental
Aptiv
Magna
Intel
HERE
Mobileye
DriveNowBMW
Bosch
Car2Go
mytaxi
Uber
HERE
NVIDIA
Aurora
Samsung
Harman Baidu Velodyne Lyft
Saips
Argo AI
Civil Maps
Mobility Provider Technology Firms Automotive OEMs & Suppliers
29
Automotive AI Software – Cooperation and Partnerships
Source: Deloitte
JaguarLandrover
FCA
Intel
LyftAutoliv
Geely
Uber
Microsoft
NVIDIA
Cruise
Telenav
Honda Lyft Audi MOIA
NVIDIA
HERE
Aurora
Mobility Provider Technology Firms Automotive OEMs & Suppliers
Zenuity
Mobileye
Ford
Delphi
30
Automotive AI Software – The Expected Revolution
Source: Micro News
• Intel Mobileye and NVIDIA are major players in the auto AI software market worldwide. These companies offer extremely powerful software and software stacks dedicated to processing AI and computing vision algorithms and adapted to the automotive ecosystem
• However, other leading players such as Renesas and Xilinx are keeping pace with the major players due to a slower cycle in the automotive
Automotive AI: Value Chain and Interactions
OEMs Service provider
Tier 1s
AI Software
Hardware
Sensors
Data treatment & Analysis
31
7.
Automotive AI Software
M&A and Private Placements
32
Automotive AI Software – M&A Transactions (1/3)
Source: MergerMarket
Date Acquiror Target Target business descriptionEV (100%)
USDm
01-Jul-2019 Mesh HoldingsSentiance(65.05% Stake)
Belgium-based business operating in the areas of artificial intelligence
na
25-Jun-2019 Apple Drive.ai US-based company that uses AI software for autonomous vehicles na
05-Jun-2019Sumitomo Corporation; Align Capital Partners; Perot Jain; Tom Meredith; Steve Adler
HypergiantUS-based provider of machine learning and artificial intelligence solutions for brands
na
28/05/2019 LinkedIn Corporation DrawbridgeUS-based technology company uses large-scale AI and machine learning technology to build democratized solutions for identity
na
12-Apr-2019
SAIC Motor Corporation Limited; SK (China) Holding; Beijing Northern Light Investment Consultant (Beijing); FengHe Fund Management; Suzhou Delta Capital Investment Management; China Merchants Venture Capital; Junhai Chuangxin (Beijing) Consulting Management
Black Sesame Technolongies (Shanghai)
China-based company engaged in core algorithms and computing platforms for artificial intelligence and machine vision"
na
11-Apr-2019 Google; Donan Engineering; State Auto Labs FlyreelUS-based company providing artificial intelligence-based insurance solutions
na
11-Apr-2019CAC Holdings; Aptiv; Trend Forward Capital Management; Motley Fool Ventures
AffectivaUS-based company engaged in providing human perception AI software
na
12-Mar-2019 Sonasoft HotifyIndia-based company specialized in artificial intelligence software development
na
11-Mar-2019 Vitruvian PartnersDental Monitoring
France-based company that provides Artificial Intelligence solutions in dentistry and orthodontics
na
33
Automotive AI Software – M&A Transactions (2/3)
Source: MergerMarket
Date Acquiror Target Target business descriptionEV (100%)
USDm
27-Feb-2019
SK Hynix; CLSA; China Oceanwide Holdings Group; SK Holdings; Hillhouse Capital Management; Morningside Venture Capital; CMBC Capital Holdings; Linear Venture; V Fund; Oceanpine Capital
Beijing Horizon Robotics Technology Development
China-based company engaged in R&D of artificial intelligence chip and algorithm software and application in smart driving, city and retails
na
19/02/2019
WI Harper Group; Gobi Partners; EnspireCapital; UOB Venture Management; Tembusu Partners; Raffles Venture Partners; Rakuten Ventures; Sonae IM; 31 Ventures; Pepri Ventures; SPH Ventures; Impossible Ventures
ViSenzeSingapore-based artificial intelligence company providing visual search and image recognition solutions for e-commerce, m-commerce and online advertising businesses.
na
06/02/2019 New Relic SignifAIUS-based company providing an event intelligence platform and specializing in artificial intelligence (AI) and machine learning (ML).
37
30/10/2018Kennet Partners Limited; Toba Capital; Providence Strategic Growth Capital Partners; Savano Capital Partners
ConversicaUS-based provider of artificial intelligence-based sales conversion management software solutions
na
17/10/2018Scale Venture Partners; Emerge; ManivMobility; Airbus Ventures; Global IoT Technology Ventures
CognataIsrael-based company that develops automotive simulation platform using artificial intelligence (AI) to create a virtual environment for testing cars without drivers
na
05/09/2018Daimler; Temasek Holdings; Denso Corporation; GGV Capital; SPARX Group; Wavemaker Partners; Singapore Innovate
ThinCI US-based AI hardware company developing computing platforms na
29/06/2018 A group of investors led by Daikin Industries ABEJAJapan-based company engaged in developing and providing artificial intelligence software for retailers and manufacturers.
na
34
Automotive AI Software – M&A Transactions (3/3)
Source: MergerMarket
Date Acquiror Target Target business descriptionEV (100%)
USDm
16/05/2018Walden International Investment Group; Great Eastern Holdings Limited; Peter Lim Eng Hock; WPGrowth Ventures
uCare.ioSingapore-based company that develops artificial intelligence platform
na
14/02/2018 Tibet Yanshan Investment ManagementNullmax (40% Stake)
China-based autonomous vehicles AI software system developer na
16/01/2018
Sequoia Capital; Legend Capital Management; Yonghua Capital; K2VC; Kinzon Capital; China Growth Capital; Beijing Zhenge Tiancheng Investment Management
Aibee (Beijing) Intelligent Technology
China based artificial intelligence (AI) solutions provider na
24/07/2017 GENUI; Bernd-Michael Rumpf AcrolinxGermany-based provider of AI software for enterprise content creation
60
27/06/2017GGV Capital; New Enterprise Associates; Beijing Northern Light Investment Consultant (Beijing)
Drive.ai US-based company that uses AI software for autonomous vehicles na
28/03/2017Beijing Northern Light Investment Consultant (Beijing); InnoSpring Seed Fund; Oriza Ventures
Drive.ai US-based company that uses AI software for autonomous vehicles na
05/01/2017Denso Corporation; Sumitomo Corporation of Americas
ActiveScalerUS-based company involved in developing applications related to artificial intelligence
na
35
Automotive AI Software – Private Placements (1/3)
Source: CapitalIQ
Date Investor(s) Target/Issuer Business DescriptionRaisedUSDm
22-Jul-2019 Naya Ventures Viviota Viviota Inc develops a software for vehicle and device manufacturers. Its platform manages and automates engineering data and analysis. Viviota Inc was incorporated in 2016 and is based in Austin, Texas.
-
19-Jul-2019 - AutoX AutoX, Inc. develops software solutions for self-driving cars. The company provides self-driving capability using a camera-based system. The company was founded in 2016 and is based in San Jose, California.
58.00
17-Jul-2019 SAIF Partners; Hina Capital Partners; Sigma Square Capital
Qingdao Huituo Intelligent Machine
Qingdao Huituo Intelligent Machine Co., Ltd. develops cloud-based software applications for automatic driving technology and industrial applications. Qingdao was founded in 2014 and is based in Qingdao, China.
14.55
03-Jul-2019 Investor Consortium Tier IV Tier IV, Inc. develops open-source software solutions for autonomous driving. It develops Autoware software for urban driverless cars. The company was founded in 2015 and is based in Nagoya, Japan.
100.00
26-Jun-2019 Yinxinggu Capital e-Quality Information Technology (Shanghai)
e-Quality Information Technology (Shanghai) Co., Ltd. designs and develops software solutions for automotive manufacturing industry. e-Quality was founded in 2010 and is based in Shanghai, China.
1.45
19-Jun-2019 Global Brain; A Medium; Synapse Partners; Amplifier
Humanising Autonomy Humanising Autonomy Limited designs and develops software for self-driving vehicles. Humanising Autonomy Limited was founded in 2017 and is headquartered in London, United Kingdom.
5.30
14-Jun-2019 Nanjing Yueboo Power System
Beijing New Energy Vehicle Technology Innovation Center
Beijing New Energy Vehicle Technology Innovation Center Co., Ltd. engages in R&D of open-source vehicle platform for test and verification of new energy vehicles. The company was incorporated in 2017 and is headquartered in Beijing, China.
72.20
05-May-2019 - TruVideo TruVideo, Inc. develops a video and text platform for auto repair shops. The company was founded in 2015 and is headquartered in Wellesley, Massachusetts.
1.60
28-May-2019 SSM Partners Kukui Kukui Corporation develops marketing software solutions for the automotive repair industry. The company was incorporated in 2011 and is based in San Jose, California.
27.00
21-May-2019 Shell Ventures; PICO Partners
Ravin AI Ravin AI Limited develops software for fleet tracking, insurance claim processing, and used car condition report generation. Ravin AI Limited was founded in 2018 and is based in London, United Kingdom.
4.00
36
Automotive AI Software – Private Placements (2/3)
Source: CapitalIQ
Date Investor(s) Target/Issuer Business DescriptionRaisedUSDm
16-May-2019 Beijing Yuanlong Yato Culture Dissemination
Wuhan Yibaotong Network Technology
Wuhan Yibaotong Network Technology Co., Ltd. designs and develops software as a service (SaaS) platform for financial industry. The company is based in Wuhan, China. 1.45
10-Apr-2019 Dongfeng Motor Group AutoX AutoX, Inc. develops software solutions for self-driving cars. The company was founded in 2016 and is based in San Jose, California. 20.00
01-Apr-2019 TransLink Capital UBiAi Technology UBiAi Technology Ltd. develops SaaS (Software as a Service) based automotive telematics data application solutions. The company was founded in 2016 and is based in Beijing, China.
2.00
27-Mar-2019 Horizons Ventures; American Family Ventures
Teraki Teraki GmbH develops software solutions for scaling of Insurance, predictive maintenance, and autonomous driving applications by enabling access to more qualitative data. The company is based in Berlin, Germany.
2.30
05-Mar-2019 Social Starts; Notley Ventures
Elephant Labs Elephant Labs LLC develops AI-enabled virtual chat engine built for the insurance and automotive industries. The company was founded in 2016 and is based in Austin, Texas.
0.62
01-Mar-2019 Investor Consortium Fabu Technology Fabu Technology Limited provides software and hardware platform solutions. The company specializes in machine learning, computer vision, robotics, automobile engineering, and large-scale integrated circuit design. The company was founded in 2017 and is based in Hangzhou, China.
20.00
15-Feb-2019 General Motors Ventures
Wejo wejo Limited develops cloud based data exchange platform, which helps in sharing and accessing connected car data. wejo Limited was incorporated in 2013 and is based in Tattenhall, United Kingdom.
34.95
30-Jan-2019 Passion Capital UK Vehicle UK Vehicle Ltd. trading as Cazana, develops application that offers vehicle data, which helps users to find, buy, and own cars. UK Vehicle Ltd. was founded in 2015 and is based in London, UK.
2.29
07-Jan-2019 ABC International Holdings; SenseTimegroup
JingChi JingChi Inc. develops software and systems for fully autonomous vehicles. JingChi Inc. was founded in 2017 and is based in Sunnyvale, California. 20.00
17-Dec-2018 na TruDecision TruDecision Inc. develops cloud-based data analytics platform. The company provides fintech solutions for automotive dealers and lenders. TruDecision Inc. was founded in 2017 and is based in Grapevine, Texas.
0.51
37
Automotive AI Software – Private Placements (3/3)
Source: CapitalIQ
Date Investor(s) Target/Issuer Business DescriptionRaisedUSDm
19-Nov-2018 DIP Capital Wejo wejo Limited develops cloud based data exchange platform, which helps in sharing and accessing connected car data. wejo Limited was incorporated in 2013 and is based in Tattenhall, United Kingdom.
1.93
25-Oct-2018 Investor Consortium Data Enlighten (Beijing) Data Enlighten (Beijing) Co., Ltd. develops automotive aftermarket data tools and software. Data Enlighten (Beijing) Co., Ltd. is based in Beijing, China.
21.59
08-Oct-2018 Kakao Mobility EnGIS Technologies EnGIS Technologies, Inc., a software development company, provides software solutions to the automotive and consumer electronics industries worldwide. EnGIS Technologies, Inc. was founded in 1998 and is based in Seoul, South Korea.
1.33
04-Oct-2018 BlueRun Ventures EnGIS Technologies EnGIS Technologies, Inc., a software development company, provides software solutions to the automotive and consumer electronics industries worldwide. EnGIS Technologies, Inc. was founded in 1998 and is based in Seoul, South Korea.
11.71
29-Sept-2018 Nanjing Seraph Investment Management; DLH Capital
Nanjing Mengqi Chepin Network Technology
Nanjing Mengqi Chepin Network Technology Co., Ltd. is a company that creates automobile after sales service platform. It is based in China.
-
27-Sept-2018 Investor Consortium Teraki GmbH Teraki GmbH develops software solutions for scaling of Insurance, predictive maintenance, and autonomous driving applications by enabling access to more qualitative data. The company is based in Berlin, Germany.
3.00
04-Sept-2018 Investor Consortium Ride Kleen Ride Kleen, INC offers car cleaning services through RideKleen, which i s a mobile application which simplifies car wash procedures for customers. The company was founded in 2013 and is based in Huntingdon Valley, Pennsylvania.
na
29-Aug-2018 Molex; HELLA Ventures Excelfore Excelfore Corporation designs and develops a cloud platform and connectivity applications for transportation industry. The company was founded in 2008 and is based in Fremont, California.
4.00
24-Aug-2018 Home Boutique International
ECCO Auto World ECCO Auto World Corporation focuses on developing an automobile mobile application in Malaysia. The company was founded in 2016 and is based in Tsim Sha Tsui, Hong Kong.
0.10
38
8.
Automotive AI Software
Company Profiles
39
ADASENS Automotive GmbH
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewADASENS Automotive GmbH, founded in 2006, is a provider of ADAS and sensing solutions for camera-based systems for passenger cars and commercial vehicles. The company offers its services in various business cases including consulting, licensing, and project-based. Since 2016, the company has been operating as a subsidiary of Ficosa.
Organization Structure
Allen ChangMarketing Director
Jörn KlingemannCEO
SpecialtiesMachine Vision – Forward Looking Cameras
Soil detection, online calibration, traffic sign recognition, vehicle recognition, high beam assist, lane recognition, stereo obstacle detection
Machine Vision – Surround View Camera
Structure from motion/motion stereo, backover protection, crossing traffic, rear end collision
Type
Mobility solution provider
Headquarters
Lindau, Germany
Number of Employees
100
Investors
N/A
Key Partners
nvidia, PSA, City of Boston, Lyft, Grab, Land Transport Authority, Velodyne
Application/Markets
Automotive parking camera, Trafficsign recognition software
Key Products
Autonomous driving solutions
Type of Technology
Open platform
Net Sales
USD 3.00mn
Total Capital Raised
USD 39.80mn
40
AIMotive Kft
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewAIMotive Kft, founded in 2015, formerly known as AdasWorks, is a spin-off from Kishonti. The company develops AI software to enable self-driving cars. AIMotive offers aiDrive suite that includes four software engines. Location engine, recognition engine, motion engine, and control engine. The company has offices in Mountain View, California; and Yokohama, Japan.
Organization Structure
Krisztina FörhéczCFO
David KissCTO
Laszlo KishontiFounder and CEO
Péter Kovács
Chief Product Officer
Lajos Németh
COO
Gergely Juhász
SVP - aiSim
Type
Technology development
Headquarters
Budapest, Hungary
Number of Employees
~220
Investors
Tim Draper, B Capital Group, Prime Ventures, Cisco Investments, Samsung CatalystKey PartnersFEV, NVIDIA, PSA Groupe, QuantaComputers, Ryosan, Ryoyo, SAIC, Volvo,Samsung, Wind, Wipro, Kyocera
Application/Markets
Autonomous mobility
Key Products
Modular software, simulation driving
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 48.50mn
Practice AreasAuto, Internet of Things, Geo - Europe Tech, Artificial Intelligence, Enterprise Applications, Enterprise Infrastructure and Autonomous Vehicles
Márton FehérSVP - aiWare
Alexandre Engelstein
SVP - Europe
41
Analog Devices, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewAnalog Devices, Inc., founded in 1965, is a provider of design, manufacture, and marketing of high performance analog, mixed-signal, and digital signal processing (DSP) ICs. The company offers solutions for autonomous driving, cabin electronics, MEMS safety and security, EV & HEV powertrain, and automotive power management.
Organization Structure
John HassettSVP-Global Operations and Technology
Martin CotterSVP-Worldwide Sales and Digital Marketing
Vincent RochePresident and CEO
Steve PietkiewiczSVP-Power Product
Greg HendersonSVP-Automotive, Communications, and Aerospace and Defense
Dan LeibholzCTO
SpecialtiesSemiconductors, analog, mixed-signal and signal processing, and digital signal processing
Type
Electrical/Electronic Manufacturing
Headquarters
Norwood, Massachusetts, US
Number of Employees
15,800
Investors
N/A
Key Partners
Alliances, PartnerZone, RadioVerse Partners
Application/Markets
Data converters, amplifiers, powerRF and microwave, MEMS, DSP
Key Products
Autonomous driving solutions
Type of Technology
Open platform
Net Sales
USD 0.96bn
Total Capital Raised
N/A
42
Apex.AI, Inc
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewApex.AI, Inc, founded in 2007, is a developer of operating system for autonomous vehicles. The Company is focused on developing AI-enabled software stacks for self-driving vehicles. Its product offering includes Apex.OS and Apex.Autonomy. Apex.OS is an open-source framework for autonomous systems that enables software developers to write safe & secure applications based on Robot Operating System (ROS) 2 APIs. Apex.Autonomy is an autonomous driving software that combines 3D perception, localization, planning, and control algorithms.
Organization Structure
Sanjay KrishnanVP
Dejan PangercicCo-Founder and CTO
Jan BeckerCo-Founder and CEO
Andreas PasternakTechnical Team Lead -Apex.OS
Martin RudigierVP - Finance
Type
Software development
Headquarters
Palo Alto, California, US
Number of Employees
23
Investors
Lightspeed Venture, AirbusVentures, Canaan Partners, Toyota AIVentures
Key Partners
N/A
Application/Markets
Passenger cars, robo-taxis, automatedtucking, logistics, agriculture,construction, mining
Key Products
SDK, algorithm software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 31.00mn
Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Enterprise Applications, Internet of Things, Autonomous Vehicles and Enterprise Infrastructure
Christopher HoLead - Apex.Autonomy
Products
Apex.OS
Certified software framework and SDK for autonomous mobility systems for all safety-critical mobility applications
Apex.Autonomy
Autonomous driving software that combines 3D perception, localization, planning and control algorithms
43
Aurora Innovation, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewAurora Innovation, Inc., founded in 2016, is a developer of autonomous car technology designed to create self driving cars. Aurora Innovation uses advanced machine learning software and hardware to power self driving cars by leveraging a combination of camera, radar and LiDAR, enabling clients to make roads safer and improve access to mobility.
Type
Technology development
Headquarters
Palo Alto, California, US
Number of Employees
250+
Investors
Amazon, Hyundai, Shell Ventures, Greylock Partners, Sequoia Capital, Index Ventures (UK)
Key Partners
Hyundai, Volkswagen and Byton
Application/Markets
Safety for self driving cars
Key Products
Automotive software and hardware
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 690.00mn
SpecialtiesSelf-driving, engineering, self-driving cars, and automotive
Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Internet of Things, Autonomous Vehicles Companies
Organization Structure
Drew BagnellCo-Founder and CTO
Sterling AndersonCo-Founder and Chief Product Officer
Chris Urmson Co-Founder and CEO
44
AutoX Technologies, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewAutoX Technologies, Inc., founded in 2016, is a developer of an autonomous driving technology designed to offer self-driving vehicles. It has developed a full-stack autonomous driving technology combining real-time camera vision, sensors, and AI software to provide autonomous grocery delivery services. The company has completed a Series A3 funding round in the tens of millions, led by Chinese auto maker Dongfeng as it shifts its focus to promote the use of self-driving technologies in the Chinese commercial vehicle sector
Type
Technology development
Headquarters
San Jose, California, US
Number of Employees
100+
Investors
Dongfeng Automobile, MediaTek, SAIC Capital, ZhenFund, Plug and Play Tech Center
Key Partners
GrubMarket
Application/Markets
Robotaxi, robo delivery
Key Products
xUrban
Type of Technology
Level 4 autonomous drivingsolutions
Estimated Revenues
N/A
Total Capital Raised
USD 87.00mn
Practice AreasEnterprise Infrastructure, Artificial Intelligence, Geo - Europe Tech, Geo - Germany Tech, Geo - DACH Tech, Internet of Things, Auto
Organization Structure
Jan Wei PanDirector - R&D
Jewel Zhou LiCOO
Jianxiong XiaoFounder and CEO
Emeterio NastorAutonomous Vehicle Operations Specialist and Fleet Operations Manager
Hugo FozzatiDirector - Business and Operations
45
Changchun Yihang Intelligent Technology Co., Ltd.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewChangchun Yinang Intelligent Technology Co., Ltd., founded in 2017, is a developer of full-stack autopilot systems. Yihang AI is focused on developing full-stack autopilot systems for automobiles. The company aims at the mass production of self-driving systems for automakers. It has developed an embedded full driverless technology combining proprietary software algorithms & hardware. The company has also developed a real-time pixel-level image segmentation technology based on deep learning algorithms. Yihang Intelligent applies automatic driving technology to make travel safer, more convenient and more environmentally friendly
Type
Technology development
Headquarters
Chaoyang, Beijing Shi, China
Number of Employees
N/A
Investors
gac-capital.com, Source Code Capital, CICC ALPHA, Matrix Partners China, CICC, Zenity Asset Management, CHJ Automotive, Future CapitalKey Partners
N/A
Application/Markets
Automotive software
Key Products
Full-Stack Autopilot Systems
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 47.18mn
Practice AreasAuto, Artificial Intelligence, Geo - China Tech, Internet of Things, Autonomous Vehicles
Organization Structure
Carlo LeeDeep Learning Expert
Jinling PigeonDoctor - Vehicle Engineering
Chen YuxingDoctor - Vehicle Engineering
46
CIDI Changsha Intelligent Driving Research Institute
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot
Specialties
Business OverviewCIDI Changsha Intelligent Driving Research Institute, founded in 2017, is a developer of self-driving technology for commercial vehicles. The Company is engaged in research and development of intelligent driving core technology and innovative products for intercity logistics heavy trucks. It access to a 200+ acre urban autonomous vehicle testing ground and 135,000 sq. ft. research facility. The company specializes in sensor fusion, deep learning, planning and control algorithms, V2V/V2X networks and energy harvesting, technologies central to intelligent driving and safe autonomous logistics.
Organization Structure
Ying LongVP
Ma WeiCEO
Li ZexiangFounder and Chairman
Xu HuSystem ArchitectureDirector
Huang YingjunVP - Engineering
Type
Technology development
Headquarters
Changsha, China
Number of Employees
220
Investors
Legend Star, Baidu Ventures,EBZY Capital
Key Partners
N/A
Application/Markets
Commercial vehicles, cars
Key Products
Intelligent driving & road solution
Type of Technology
Intelligent driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 54.00mn
Autonomous driving, machine learning, artificial intelligence, self-driving cars, autonomous logistics, transportation and shipping
Practice AreasAuto, Artificial Intelligence, Geo - China Tech, Internet of Things and Autonomous Vehicles
Peng BingMarketing Director
47
Comma.Ai
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewComma.Ai, founded in 2015, is a developer of a technology platform designed to offer self-driving software in vehicles. The company's technology platform specializes in providing machine learning services that can turn artificial intelligence into smart features like lane-keeping and emergency braking assistance
Type
Technology development
Headquarters
San Diego, California, US
Number of Employees
50+
Investors
Andreessen Horowitz
Key Partners
N/A
Application/Markets
Commercial vehicles
Key Products
EON DevKit
Type of Technology
Autonomous driving solutions
Estimated Revenues
N/A
Total Capital Raised
USD 8.10mnPractice AreasAuto, Internet of Things, Artificial Intelligence, Geo - US Tech, Autonomous Vehicles, Enterprise Infrastructure
SpecialtiesSoftware design, advanced driver assistance solutions, autonomous vehicle solutions, and artificial intelligence
Organization Structure
Riccardo BiasiniChief Systems Architect
George HotzPresident
48
Cyngn Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot
Specialties
Business OverviewCyngn Inc., founded in 2013, is a developer of solutions for autonomous vehicles. The
Company is focused on developing software and hardware for self-driving cars. The
platform uses computer vision, sensor fusion, and machine learning to empower vehicles to
share, learn, and adjust to complex environments. Cyngn is working towards automatic
loaders, excavators and other construction vehicles.
Organization Structure
Ain McKendrickSVP - Engineering
Bruce MacLeanChief Business Officer
Lior TalCEO
Emily McNamaraDirector - Global Operations
Type
Technology development
Headquarters
Menlo Park, California, US
Number of Employees
43
Investors
Benchmark, Andreessen Horowitz, Redpoint, Qualcomm, Tencent and IndexVentures
Key Partners
N/A
Application/Markets
Geo-fencing
Key Products
Level 4 self-driving system
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 110.00mn
Autonomous Vehicles, Deep Learning , Artificial Intelligence, Computer Vision, Computer Software, Industrial IoT, Robotics, Automotive, Edge Computing, Autonomous Machines, Enterprise, Cloud Services, Defense and Security
Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Autonomous Vehicles and Enterprise Infrastructure
49
drive.ai, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot
Specialties
Business Overviewdrive.ai, Inc., founded in 2015, is a developer of AI-based software for autonomous vehicles. The company provides hardware for self-driving, retrofitted self-driving kit, sensors and systems for controlling the car, communications systems, and an in-car interface. Drive.ai operates as a subsidiary of a Apple since June 2019. The company has partnered with City of Arlington, Texas to offer the nation’s first self-driving on-demand services.
Autonomous vehicles, deep learning, artificial intelligence, computer vision, computer software, robotics, and automotive
Organization Structure
Bijit Halder CEO
Carol ReileyCo-Founder
Fred RosenzweigCo-Founder
William (Wei) SongLead, Perception
Brody HuvalCo-Founder
Type
Technology development
Headquarters
Mountain View, California, US
Number of Employees
c.82
Investors
N/A
Key Partners
Lyft
Application/Markets
Application software
Key Products
Autonomous software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 80.00mn
50
Embark Trucks, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewEmbark Trucks, Inc., founded in 2016, is an AI startup company providing automated driving system solutions for OEM customers. Embark is working on deploying self-driving commercial trucks for the long haul stretches. The company claims to be developing the software that will serve as the truck’s central cortex, the intelligence that will drive the autonomous trucking sector. Embark’s team is made up of robotics specialists with deep expertise in artificial intelligence, machine learning, and real-world deployment of advanced technology.
Organization Structure
Alex RodriguesCEO
Brandon MoakCo-Founder and CTO
Type
Technology development
Headquarters
San Francisco, California, US
Number of Employees
50+
Investors
Future Capital
Key Partners
GZVCM, FutureCap, CHJ Automotive,Oriza Seed, DFKI, Apollo, Mobileye
Application/Markets
Transportation, trucking, railroad
Key Products
Navigation systems
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 47.00mnPractice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Generic Company Lists, Autonomous Vehicles
Zeljko PopovicPerception Lead
51
Five AI Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewFive AI Inc., founded in 2015, is a provider of an autonomous vehicle software designed to drive vehicles safely without the need for a human behind the wheel. The company's AI-powered system uses multiple sensors around the vehicle, providing a view of the environment to predict, plan and safely navigate all kinds of urban, European environments, enabling benefits such as increased safety, reduced congestion, shorter journey times and cleaner air.
Type
Technology development
Headquarters
Bristol, UK
Number of Employees
121
Investors
Government of UK, Lakestar, Notion,Kindred capital, Amadeus capital partners
Key Partners
N/A
Application/Markets
Computer Software
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 37.70mn
SpecialtiesAutonomous vehicles, machine learning, artificial intelligence, safety critical software, computer vision, software engineering, self driving , C++, deep learning and robotics
Practice AreasEnterprise Infrastructure, Artificial Intelligence, Geo - Europe Tech, Enterprise Applications, Geo - UK & Ireland Tech, Internet of Things, Auto Autonomous Vehicles
Organization Structure
Ben PetersVP - Product
Dr Ram Ramamoorthy
Co-Founder, President, and COO
Stan BolandCEO
52
German Auto Labs GAL GmbH
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewGerman Auto Labs GAL GmbH, founded in 2016, offers automotive voice assistance platform, AVA, which is a full stack conversational assistance solution for the mobility sector. Additionally, the company provides retrofit hardware, Chris, a digital co-driver. The co-driver is used for bypassing automotive development cycles by leveraging deep domain knowledge of driver behavior through the biggest connected fleet on the road. The fully offline-capable AVA platform provides customizable white-label technology solutions for global verticals such as automotive, fleet management, insurance, and aftermarket consumer electronics.
Type
Technology development
Headquarters
Berlin, Germany
Number of Employees
50+
Investors
Investitionsbank Berlin, Coparion, Target Partners, Atlantic Labs, Plug and Play Tech Center
Key Partners
N/A
Application/Markets
Commercial vehicles
Key Products
Automotive voice assistance platform
Type of Technology
Voice assistant, driver assistant,analytics
Estimated Revenues
N/A
Total Capital Raised
USD 11.50mn
Practice AreasEnterprise Infrastructure, Artificial Intelligence, Geo - Europe Tech, Geo - Germany Tech, Geo - DACH Tech, Auto
Organization Structure
Baver AcuCTO
Patrick WeissertCOO and Managing Director
Holger G. WeissCEO and Managing Director
SpecialtiesConnected Car, software, IoT, safety, automotive, mobility, navigation, and AI
53
Ghost Locomotion Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewGhost Locomotion Inc., founded in 2017, is a self-driving technology development company for passenger cars. The company offers small cameras, a compact computer and a connection to the car controls to turn any car into a self-driving car. Its retrofit self-driving system leverages intelligent cameras, sensors, and AI-enabled algorithms to bring autonomy in vehicles.
Type
Technology development
Headquarters
Mountain View, California, US
Number of Employees
13
Investors
Sutter Hill Ventures, Founders Fund,Khosla Ventures
Key Partners
N/A
Application/Markets
Passenger vehicles
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 47.00mn
Organization Structure
Volkmar Uhlig Founder and CTO
John HayesFounder and CEO
Magnus HildingVP - Engineering
Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence and Autonomous Vehicles
Clare O'BrienHead - Product Marketing
Akash SagarHead - Machine Learning
Yulia MelikyanDirector - Operations
54
Green Hills Software, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot
Automotive Embedded System
Business OverviewGreen Hills Software, Inc., founded in 1982, is a developer of embedded safety and security software. The Company offers Real-Time Operating System (RTOS) solutions. Green Hills offers various automotive platforms including secure gateway, connected car, ADAS, instrument cluster powertrain and body, and infotainment. Additionally, the company offers Multivisor, a flexible embedded virtualization solution for hosting guest operating systems alongside real-time applications and middleware.
Organization Structure
David ChandlerSVP, Sales
Jeffrey HazarianCEO
Dan O'DowdCEO
Jason IsaacsGeneral Counsel
Tim ReedVP, Advanced Products
Christopher SmithVP, Marketing
Development & Manufacture Operation
Internet
• Asset Management• Digital Signing• Certificate Authority• V2X/C2X
• Over-the-Air Updates• Remote Management
Secure Network
Deliver to Customer
Type
Software Development
Headquarters
Santa Barbara, California, the US
Number of Employees
c.252
Investors
Cadence (16%), Arcturus Capital
Key Partners
Toyota, Ford, DURA, Laird
Application/Markets
Security software
Key Products
Embedded Security Software
Type of Technology
Real-Time Operating System
Revenue (2018A)
USD 61.00mn
Total Capital Raised
USD 117.00mn
55
Horizon Robotics
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewHorizon Robotics, founded in 2015, provides integrated and open embedded Artificial Intelligence solutions of high performance, low power and low cost
It offers AI processors in four product series; Journey Processors (for identifying pedestrians, vehicles, lane lines, traffic signs & lights), Sunrise Processors (for face recognition, tracking and video structuring), Edge AI Cameras ( for deep learning vision perception technology) and Horizon Matrix (for smart city, smart retail, and other scenarios at low power consumption).
Type
Technology development
Headquarters
Beijing, China
Number of Employees
100+
Investors
Intel Capital, SK China, SK Hynix, Morningside Venture Capital, Hillhouse Capital, V Fund, CMBC Capital
Key Partners
Intel, Belle International, Audi, Longfor Properties, SAIC Motor, BYD Auto
Application/Markets
Commercial vehicles, surveillance
Key Products
ADAS, AI chips
Type of Technology
Artificial Intelligence, Electronics,Robotics
Estimated Revenues
N/A
Total Capital Raised
USD 700.00mn
Practice AreasAuto, Internet of Things, Artificial Intelligence, Geo - China Tech, Colleges, Companies, Semiconductors, Enterprise Infrastructure
SpecialtiesSmart driving, smart living, smart city, and artificial intelligence
Organization Structure
Chang HuangCofounder, VP of Algorithm
Ming YangCo-founder & VP, Software
Qiang WuCTO
Annie Feiwen TaoCo-Founder & Vice President
Kai YuFounder and CEO
56
Ike Robotics
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewIke Robotics, founded in 2018, is a developer of full-stack autonomous driving technology for trucks. Ike Robotics is focused on developing a full-stack autonomous driving technology for trucks. The company is primarily focused on the hardware part and has licensed autonomous vehicle software stack from Nuro, a self-driving startup focuses on delivery robots.
Organization Structure
Nancy SunCo-Founder
Jur van den BergCo-Founder & CTO
Alden WoodrowCo-Founder & CEO
Type
Technology development
Headquarters
San Francisco, California, US
Number of Employees
50+
Investors
Bain Capital Ventures, RedpointVentures, Fontinalis Partners,Basis Set Ventures, Neo Ventures
Key Partners
N/A
Application/Markets
Transportation, Trucking, Railroad
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 52.00mn
SpecialtiesRobotics, Deep Learning, Computer Vision, Trucking, Systems Engineering, and Safety
Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Colleges, Companies, Autonomous Vehicles
57
iMotion Automotive Technology (Suzhou) Co., Ltd
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewiMotion Automotive Technology (Suzhou) Co., Ltd, founded in 2016, is an AI startup company providing automated driving system solutions for OEM customers. The company’s core algorithms in automated driving domains include sensor data fusion, decision and planning, and vehicle control. iMotion also have competences in automotive hardware/software/system design and validation, providing full stack R&D capabilities for automated driving solutions.
Organization Structure
Christian MuellerCEO - iMotion Germany Chief Scientist
Calvin LuCTO
Walt SongCo-Founder and CEO
Kim ZhuSales Director
Hong LuoDirector - Software
Alan LiDirector - Hardware
Type
Technology development
Headquarters
Suzhou, Jiangsu Sheng, China
Number of Employees
N/A
Investors
Future Capital
Key Partners
GZVCM, FutureCap, CHJ Automotive,Oriza Seed, DFKI, Apollo, Mobileye
Application/Markets
Vehicle control systems
Key Products
ADAS, Autopilot system, ACC, AEB,LKA
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 14.50mn Practice AreasAuto, Artificial Intelligence, Geo - China Tech, Internet of Things, Autonomous Vehicles
R&D centers: iMotion Suzhou and iMotion Germany
Manufacturing plant: iMotion Electronics
Test Location: iMotion Changshu
Worldwide Locations
58
Kodiak Robotics, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewKodiak Robotics, Inc., founded in 2018, is an autonomous technology development company for the trucking industry. Kodiak Robotics is developing a self-driving technology for long-haul trucking. Its full-stack autonomous driving system will leverage the combined advantages of radars, LiDARs, sonars, and cameras. The company is primarily focused on the software part and will use third-party sensors.
Organization Structure
Andreas WendelVP - Engineering
Paz EshelCo-Founder and COO
Don BurnetteCo-Founder and CEO
Jordan ColemanGeneral Counsel
Zsuzsanna MajorVP - People
Type
Technology development
Headquarters
Palo Alto, California, US
Number of Employees
~50
Investors
Battery Ventures, Lightspeed, TVP,Charles River Ventures
Key Partners
N/A
Application/Markets
Transportation, Trucking, Railroad
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 40.00mn
Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Internet of Things, Autonomous Vehicles, Companies
59
Microsoft Corporation
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewMicrosoft Corporation, founded in 1975, is a developer of advanced technologies and platforms for autonomous vehicle development and mobility solutions. The company is operation in the areas including mobility experience transformation, auto industry innovation, data-driven transportation technologies, emission-free automobiles. Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge.
Type
Mobility solution provider
Headquarters
Redmond, Washington, US
Number of Employees
131,000
Key Partners
Renault, Nissan, Volkswagen, Mitsubishi, BMW, LG, FEV Europe
Application/Markets
Autonomous vehicle development, mobility services, supply chain
Key Products
Autonomous driving solutions
Type of Technology
Cloud platform, vehicle connectivity platformTotal Revenues
USD 110.40bn
Total Capital Raised
USD 39.80mn
Organization Structure
John W. ThompsonChairman
William H. Gates IIIFounder and Technology Advisor
Satya NadalCEO
Peggy JohnsonHead-Business Development Group
Harry ShumHead-AI and Research Team
Scott GuthrieHead-Cloud + AI Group
Kurt DelBeneEVP-Corporate Strategy and Operations
SpecialtiesSolutions
Data ingestion and storage, big compute services, test and evaluate a driverless platform, automated driving solutions validation
Specialties
Advanced driver-assistance, autonomous capabilities, Cloud platform
Investors
N/A
60
Mighty AI, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot
Specialties
Business OverviewMighty AI, Inc., founded in 2014, provides data management platform for autonomous vehicle data. The company offers all the software, expertise, and expert annotators that help businesses to obtain the datasets they need to train and scale their computer vision and natural language models. Mighty AI was formerly known as Spare5. The company operates as a subsidiary of Uber Technologies since June’ 2019.
Artificial intelligence, machine learning, computer vision, natural language processing, autonomous vehicles, autonomous driving, AI models, ground truth data, data management, human intelligence, and perception models
Organization Structure
Isaac KatoPresident
Teresa KotwisCEO
Daryn NakhudaCEO
Darren JustusVP - Product
Eric WebsterChief Revenue Officer
Type
Training Data Platform
Headquarters
Seattle, Washington, the US
Number of Employees
c.75
Investors
N/A
Key Partners
Accenture, Intel, IBM, Amazon, Siemens, Samsung
Application/Markets
Interactive software
Key Products
Autonomous software
Type of Technology
Labeling technology
Estimated Revenues
N/A
Total Capital Raised
USD 27.00mn
61
Momenta.ai
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot
Specialties
Business OverviewMomenta.ai, founded in 2016, engages in building the unmanned vehicle brain focusing on deep learning software in perception, HD semantic mapping, high precision mapping, and data-driven path planning that enables the realization of full autonomy. Momenta provides its software solutions to automotive Tier 1 suppliers for OEM customers. Additionally, the company offers a set of deep-learning based software in perception, HD semantic mapping, and data-driven path planning
Deep learning, computer vision, artificial intelligence, self driving car, autonomous driving, mobility, autopilot, vision based environmental perception, HD mapping, path planning, ADAS, DMS, driving safety, and fleet safety
Organization Structure
Shaoqing RenDirector - R&D
Xudong CaoCEO
Yan XiaDirector - R&D
Gang SunDirector - R&D
Type
Technology development
Headquarters
Beijing, China
Number of Employees
N/A
Investors
Blue Lake Capital, Cathsy Capital, GGV capital, Nio Capital, ZhenFund
Key Partners
N/A
Application/Markets
Systems Software
Key Products
Automotive software
Type of Technology
AI technology
Estimated Revenues
N/A
Total Capital Raised
USD 200.00mn
62
National Instruments Corporation
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewNational Instruments Corporation, founded in 1976, is a developer of high-performance automated test and automated measurement system to cater to the engineering challenges. The company offers a wide range of automotive applications for powertrain, ADAS, end-of-line, and infotainment and V2X systems. NI also offers data management and analysis. The company operates across 40 locations worldwide.
Organization Structure
Karen RappChief Safety Officer and Treasurer
Eric StarkloffPresident and COO
Alex DavernChief Executive Officer
Scott RustSenior Vice President-Product R&D
Carla Pineyro SublettChief Marketing Officer
Rob PorterfieldVice President-Manufacturing
Chad ChesneyVice President and General Manager-Transportation Business
Type
Electrical/Electronic Manufacturing
Headquarters
Austin, Texas, US
Number of Employees
6,400
Investors
N/A
Key Partners
Averna, Captronic Systems,Loccioni, measX, Peritec, Elcom
Application/Markets
Software-defined platform
Key Products
Automated test and automated measurement systems
Type of Technology
Open platform
Net Sales
USD 1.4bn
Total Capital Raised
USD 36.90mn
63
Nuro, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewNuro, Inc., founded in 2016, manufactures self-driving vehicles to transport goods. The Company offers fully autonomous, on-road vehicle designed to transport goods. Nuro operates through its fleets in California, Texas and Arizona.
Organization Structure
Jiajun Zhu Co-Founder
Dave FergusonCo-Founder
Andrew ClareHead, Technical Operations
SpecialtiesRobotics and autonomous vehicles
Type
Automobile Manufacturer
Headquarters
Mountain View, California, US
Number of Employees
c.300
Investors
Softbank, Greylock Partners, Gaorong Capital
Key Partners
Kroger and Fry Foods
Application/Markets
Automotive software for Autonomous vehicles
Key Products
Automotive software
Type of Technology
Robotics technology
Estimated Revenues
N/A
Total Capital Raised
USD 1.00bn
64
nuTonomy Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewnuTonomy Inc., founded in 2013, is a provider of software solution for driverless fleets. The company is focused on developing, and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. The company’s software, nuCore, is a flexible, modular system for perception, mapping, localization, motion planning, decision making and control of passenger vehicles operating in complex, urban environments. In November 2017, nuTonomy joined Aptiv as a part of its automated mobility solutions. The company operates through its offices in Boston, Santa Monica, and Singapore.
Organization Structure
Doug ParketCOO
Emilio FrazzoliCTO & Chief Scientist
Karl IagnemmaPresident
Jake CheuvrontVP-Software
Gretchen EffgenVP-Partnerships
SpecialtiesAutonomous Vehicles, Fleet management, and Self-Driving Cars
Type
Mobility solution provider
Headquarters
Boston, Massachusetts, US
Number of Employees
100
Investors
N/A
Key Partners
nvidia, PSA, City of Boston, Lyft, Grab, Land Transport Authority, Velodyne
Application/Markets
nuCore
Key Products
Autonomous driving solutions
Type of Technology
Open platform
Net Sales
USD 3.00mn
Total Capital Raised
USD 39.80mn
65
NVIDIA Corporation
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewNVIDIA Corporation, founded in 1993, is an AI computing company that develops AI-based platforms/solutions for automotive industry. NVIDIA solutions empower leading automakers, truck makers, suppliers, startups, and others on the path to autonomous driving. The company has over 370 partners including carmakers, truck makers, auto suppliers, mapping, sensors, software, and research firms.
SpecialtiesGPU-accelerated computing, artificial intelligence, deep learning, virtual reality, gaming, self-driving cars, supercomputing, robotics, virtualization, parallel computing, professional graphics, and automotive technology
Type
AI computing
Headquarters
Santa Clara, California, US
Number of Employees
13,277
Investors
N/A
Application/Markets
AI-enabled solutions
Key Products
Autonomous vehicle development platform
Type of Technology
Cognitive data science
Total Revenues
USD 641.00mn
Total Capital Raised
N/A
Organization Structure
Colette KressEVP and CFO
Chris A. MalachowskyFounder and NVIDIA Fellow
Jensen HuangFounder, President and CEO
Rob CsongorHead-Automotive
Debora ShoquistEVP-Operations
Jay PuriEVP-Worldwide Field Operations
Innovation and Milestones• Constellation• Safety Force Field• Drive AP2X• TUV SUD
• Myroute• 50-Mile Loop• Pegasus• China AV License
• Surround VIZ• Hyperion• Drive SIM• Global Mapping
Key Partners
Audi, Mercedes, Toyota, Volvo, Volkswagen, Daimler Robotaxi
66
Optimus Ride Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewOptimus Ride Inc., founded in 2015, is a developer of self-driving vehicle technology for geo-fenced environment. The company's technology leverages advances in complex sensor fusion, mapping, computer vision and machine learning to deploy a new form of transportation system that enables sustainable and equitable mobility access, enabling public to use transportation from commercial vessel operations to transit options.
Type
Technology development
Headquarters
Boston, Massachusetts, US
Number of Employees
112
Investors
NVIDIA GPU ventures, UJ ventures, Morado venture partners, Greycroft,Emerson collective, Eight roads
Key Partners
N/A
Application/Markets
Public transportation
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 43.98mn
SpecialtiesAutonomous (self-driving) vehicles, electric vehicles, shared fleets, computer vision, machine learning, control systems, transportation, mobility services, and automation
Practice AreasAuto, Geo - US Tech, Artificial Intelligence, Colleges, Internet of Things, Autonomous Vehicles
Organization Structure
Albert HuangCo-Founder and CTO
Jenny BerlinCo-Founder, President, and COO
Ryan ChinCo-Founder, CEO and Board member
67
Oxbotica Ltd
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewOxbotica Ltd, founded in 2014, is an autonomous driving software development company. The Company develops autonomous software - particularly Selenium and Caesium for real-world applications across multiple sectors based on physics, robotics, math, and AI. It is the first company to test self-driving vehicle in public in the UK.
Organization Structure
Clive ScrivenerChairman
Paul NewmanFounder and CTO
Ozgur TohumcuCEO
Marta OstroumoffFinancial Director
Graeme SmithSenior VP - External Affairs
Kevin AllingtonCOO
Type
Application software
Headquarters
Oxford, England
Number of Employees
120+
Investors
IP Group Plc (lead investor), Parkwalk Advisors, AXA XL
Key Partners
Navtech Radar, Addison Lee Group, Gatwick Airport, Driven, AXA XL
Application/Markets
Automotive, Industrial, Mining, Logistics & Transportation
Key Products
Autonomous driving softwares:Selenium & Caesium
Type of Technology
Autonomous-driving technology
Estimated Revenues
USD 4.00mn
Total Capital Raised
USD 18.41mnBen UpcroftVP - Technology
Richard JinksVP - Commercial
SpecialtiesMobile autonomy, 3D scene perception & understanding, localization and mapping solutions, robotics & autonomous systems, autonomous vehicles, machine learning, artificial intelligence, computer vision, software engineering, self driving, C++, robotics, simulation, mapping, localization
Practice AreasAuto, Artificial Intelligence, Geo - UK and Ireland Tech, Geo - Europe Tech, Internet of Things, Autonomous Vehicles, Enterprise Infrastructure
68
Peloton Technology Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewPeloton Technology Inc., founded in 2011, is an automated vehicle technology company focused on improving the safety and efficiency of freight transportation. The company offers tools that avoid crashes and improve operational insight through connectivity, automation, and advanced data analytics. Peloton’s flagship driver-assistive platooning system links the active safety systems of pairs of trucks and connects them to a cloud-based Network Operations Center (NOC) that limits platooning to appropriate roads and conditions.
Organization Structure
Dave LyonsFounder and CIO
Antonio VittiCFO
Josh SwitkesFounder and CEO
Matt HallVP - Business Development
Dean HogleVP – Hardware Engineering
Mark HerbertVP - Software
Type
Technology development
Headquarters
Mountain View, California, US
Number of Employees
90
Investors
B37 Ventures, Band of Angels, BP Ventures, Intel Capital, Denso, Lytx, Magna, NGP Capital and Okaya
Key Partners
N/A
Application/Markets
Vehicle safety, fuel efficiency
Key Products
Geofencing, Intelligent ordering and Platooning
Type of Technology
Safety and Efficiency Technology
Estimated Revenues
N/A
Total Capital Raised
USD 101.86mn
Practice AreasAuto, Internet of Things, Geo - US Tech, Colleges and Autonomous Vehicles
Test Locations
Testing Allowed
CA
NV
OR
WA
ID
MT
WY
UT
AZNM
CO
ND
SD
NE
KS
TX
OK
MN
IA
MO
AR
LA
IL
WIMI
INOH
PA
WV VA
KY
TNNC
SC
GAALMS
FL
ME
NY
69
Perceptive Automata, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewPerceptive Automata, Inc., founded in 2015, is a provider of human-behavior prediction software for automated vehicles. Perceptive Automata works with OEMs, suppliers, and technology companies worldwide to assist in building and integrating automated driving systems. The company’s software is built on voluminous and scalable data that runs faster than real-time using only light compute resources.
SpecialtiesAI, Cognitive Science, Autonomous Driving, Machine Learning, Autonomous Vehicles, Self-Driving Vehicles, Neuroscience, Computer Vision, Deep Learning, Behavioral Science, Humans, Artificial Intelligence, Automated Vehicles, Robotics, Automotive, Transportation, Mobility, Self-Driving Cars, and ADAS
Type
Application software
Headquarters
Somerville, Massachusetts, US
Number of Employees
50
Investors
Jazz Venture Partners, First Round, SLOW, Toyota AI Venture, Hyundai Cradle
Application/Markets
ADAS
Key Products
Autonomous driving system
Type of Technology
Predictive analytics
Total Revenues
USD 641.00mn
Total Capital Raised
USD 23.00mn
Organization Structure
Natasha FaheyDirector - Operations
David CoxCo-Founder and Advisor
Sam AnthonyCo-Founder and CTO
Sid MisraCo-Founder and CEO
James GowersVP - Strategy and Business Development
Avery FallerCo-Founder
Key Partners
WIRED, NVIDIA, QUARTZ, SLATE, Daimler
70
Perrone Robotics, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewPerrone Robotics, Inc., founded in 2003, is a developer of real-time sensors, control systems and a robotics software designed to deliver autonomy for the mobility of people and things. The Company's systems and software is a customizable autonomous robotics platform that creates a UI/interface or add logic or pre/post-processing to any step in the sense-plan-act continuum, enabling users to build robust mobile autonomous robotics applications and fully and partially autonomous cars and trucks.
Type
Technology development
Headquarters
Crozet, Virginia, US
Number of Employees
21
Investors
Intel capital
Key Partners
Intel, Liebherr, First Transit, Velodyne,Wind, SICK, Quanergy, aicas, DATASPEED,XILINX
Application/Markets
Robotics
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 4.00mn
SpecialtiesSoftware design, hardware design, robotic solutions, autonomous vehicle solutions, driverless cars, and autonomous vehicles
Practice AreasAuto, Internet of Things, Artificial Intelligence, Geo - US Tech, Enterprise Applications, Technology Enterprise, Infrastructure, Autonomous Vehicles
Organization Structure
Dave HofertCMO and VP - Sales
Michael RaschidChief Legal Officer and VP - Operations
Paul PerroneFounder, President and CEO
71
PlusAI, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewPlusAI, Inc., founded in 2016, is a developer of full-stack self-driving technology to enable large-scale autonomous commercial fleets. The company has been working on improving the robustness and safety of its fully functional Level-4 autonomous trucks. PlusAI collaborates with the largest OEMs to build self-driving trucks that are safer than human-operated vehicles. The company operates a fleet of autonomous trucks in pilot programs with the top freight shipping companies.
Type
Technology development
Headquarters
Cupertino, California, US
Number of Employees
200+
Investors
Sequoia Capital, GSR Ventures, Plug and Play Tech Center, Hemi Ventures, TSVC Capital, SAIC Capital
Key Partners
N/A
Application/Markets
Transportation, Trucking
Key Products
Automotive software
Type of Technology
Self-driving technology
Total Capital Raised
USD 2.00mn
Practice AreasAuto, Geo – US Tech, Artificial Intelligence, Colleges, Internet of Things, Autonomous Vehicles
Organization Structure
Hao ZhengCo-Founder and CTO
David LiuCo-Founder and CEO
Tim DalyChief Architect
Shawn KerriganCo-Founder and VP - Engineering
SpecialtiesArtificial intelligence, autonomous driving, self-driving trucks, machine learning, deep learning, computer vision, and robotics
Estimated Revenues
N/A
72
Pony.ai, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot
Global Locations
Business OverviewPony.ai, Inc., founded in 2016, is a self-driving technology development company. The Company offers self-driving autonomous cars to do everyday things. In September 2018, launched PonyAlpha, a self-driving system. Recently, in April 2019, the company introduced a test project PonyPilot, an autonomous driving fleet.
Organization Structure
Tiancheng LouCo-founder and CTO
James PengCo-founder and CEO
Andrew YaoChief Advisor
Tiffany ZhaoDirector - Business Development
Silicon ValleyUSD Guangzhou
Chine
BeijingChine
Type
Technology development
Headquarters
Fremont, California, the US
Number of Employees
c.244
Investors
DCM Ventures, Comcast Ventures, ClearVue Partners, Legend Capital
Key Partners
N/A
Application/Markets
Application software
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 264.00mn
73
Progress (DataRPM Corporation)
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot Business OverviewProgress (DataRPM), founded in 2011, is a provider of machine learning company focused on cognitive predictive maintenance solutions. In March 2017, the company was acquired by Progress, an application development across various business applications. DataRPM assists auto companies in predicting asset failure, reducing maintenance costs, and optimizing inventories and resources. Progress operates through 16 offices and over 50 resellers across 6 continents.
SpecialtiesPlatform-as-a-Service-(PaaS), Data Connectivity, Application Development & Deployment, Machine Learning, cognitive, and Predictive Analytics
Type
Machine learning automation
Headquarters
Bedford, Massachusetts, US
Number of Employees
58
Investors
N/A
Key Partners
Brighthouse Automotive, ASA Automotive Systems
Application/Markets
Anomaly detection, predictive maintenance
Key Products
Autonomous driving solutions
Type of Technology
Cognitive data science platform
Total Revenues
USD 9.80mn
Total Capital Raised
USD 6.80mn
Organization Structure
John AinsworthSVP-Core Products
Paul JalbertCFO
Yogesh GuptaCEO
Tony MurphyChief Information Officer
Loren JarrettGM-Developer tooling business
Stephen FabermanChief Legal Officer
Gary QuinnSVP-Core Field Organization
Dmitri TcherevikChief Technology Officer
Dimitre TaslakovChief Talent Officer
74
Renesas Electronics Corporation
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot
Renesas Autonomy Platform
Business OverviewRenesas Electronics Corporation, founded in 2002, is a self-driving technology development company. The Company’s automotive business includes the Automotive control that offers semiconductor devices for controlling automobile engines and bodies, and Automotive information, that offers semiconductor devices used in automotive information systems such as navigation systems. The Group mainly supplies Micro-Controllers (MCUs), System-on-Chips (SoCs), analog semiconductor devices and power semiconductor devices.
Organization Structure
Masahiko NozakiEVP and GM, Production and Technology Unit
Hidetoshi ShibataCEO and President
Tetsuya TsurumaruChairman
Shinichi YoshiokaSVP and CTO, Automotive Solution Business Unit
Shingo YamamotoEVP and GM, Automotive Solution Business Unit
Hirotaka YamanamiEVP and GM, Organization Development Unit
Renesas Autonomy allows customers to develop applications themselves or choose a solution from Renesas
Olav SchulteSVP and Deputy General Manager Automotive Solutions Business
Connecting, Sensing & Analyzing Deciding Controlling
Multi-CameraSensing and Visualization
Radar / LidarSensing
ConnectivityGeo and Traffic information
Sensor FusionCollection and Fusion of Sensor Data
CognitiveDecision Making
Automotive Security Gateway
Driving(Powertrain)
Banking/Chassis(Safety)
Steering(EPS)
Type
Semiconductors manufacturer
Headquarters
Tokyo, Japan
Number of Employees
19,546
Investors
MUFG Bank, Ltd, Mizuho Bank, Ltd, Sumitomo Mitsui Trust Bank, Limited
Key Partners
Intrinsic ID, Arrow Electronics, Inc, create software, Medium One, Inc
Application/Markets
Internet software
Key Products
Semiconductor Products
Type of Technology
Semiconductor technology
Revenue (Automotive)
USD 4.00bn
Total Capital Raised
N/A
75
Renovo Motors, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewRenovo Motors, Inc., founded in 2010, is an autonomous operating system provider accelerating innovation in automated mobility as a Service. The company deploys its technology across vehicles, fleets, and the cloud to expand the Automated Mobility-on-Demand (AMoD). The company provides AWare OS for Automated Mobility which merges software, data analytics, and automotive-grade safety systems into a unified solution for development, pilot and commercial deployments.
Type
Technology development
Headquarters
Campbell, California, US
Number of Employees
50+
Investors
True Ventures, Verizon Ventures, Synapse Partners, Menlo Ventures
Key Partners
Google, Intel, Nokia, Ideo, Cisco, Caterpillar, Oracle
Application/Markets
Commercial vehicles
Key Products
AWare OS
Type of Technology
Self-driving technology
Total Capital Raised
USD 14.50mn
Practice AreasAuto, Internet of Things, Geo – US Tech, Artificial Intelligence, Colleges, Autonomous Vehicles
Organization Structure
Jason StinsonCo-Founder - CTO
Chris Heiser Co-Founder - CEO
Mary PageVP - Finance and Operations
Robin NijorVP - Business Development and Marketing
Estimated Revenues
N/A
76
Shenzhen Roadstar AI Co., Ltd.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewShenzhen Roadstar AI Co., Ltd., founded in 2017, is an AI startup specialized in the research, development, and implementation of Level 4 autonomous driving technologies. The company provides autonomous driving solutions powered by its proprietary multi-sensor pre-fusion technology. Roadstar focuses on providing fully autonomous robotaxi services and level 2/3 autonomous design solutions for automotive partners. Additionally, The company offers technical consultation and design solutions for specific applications and requirements from clients.
Type
Technology development
Headquarters
Shenzhen, Guangdong, China
Number of Employees
150+
Investors
Shenzhen Capital Group, Wu Capital,Yunqi Partners, CMB International, Yuan Jing Capital
Key Partners
N/A
Application/Markets
Robotaxi, level 2/3 autonomous driving
Key Products
HeteroSync and DeepFusion
Type of Technology
Level 4 autonomous driving solutions
Estimated Revenues
N/A
Total Capital Raised
USD 138.10mnPractice AreasAuto, Internet of Things, Geo – US Tech, Artificial Intelligence, Colleges, Companies, Autonomous Vehicles
Organization Structure
Rui YangCloud Computing Engineer
Raymond W.Autonomous Vehicle Operations
Liang HengCo-Founder and CTO
SpecialtiesAutonomous vehicle, self-driving, artificial intelligence, computer vision, control, robotics, mobility, transportation, deep learning, machine learning, technology, software, simulation, and motion planning
77
Tianjin Qingzhi Technology Co., Ltd
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewTianjin Qingzhi Technology Co., Ltd, founded in 2016, is a developer of self-driving technology. The company’s automotive engineering department has ~20 years of smart car and chassis electronic technology. The team has 10-20 years of experience in the field of smart cars and automotive electronics.
Tsintel Technology is focused on developing self-driving technologies for urban transportation for autonomous vehicles. The company has developed a full-stack self-driving technology combining high-precision sensors, embedded controllers, and a cloud-based intelligent control algorithm. It has also developed an advanced driving assistance system (ADAS) and an advanced emergency braking system (AEBS) for commercial vehicles.
Type
Technology development
Headquarters
Tianjin, Tianjin Shi, China
Number of Employees
100+
Investors
Northern Light Venture Capital, LegendStar
Key Partners
Intel, FCA, Jagua-Land Rover, Lyft
Application/Markets
Commercial vehicles
Key Products
ADAS, networked automotivetechnology services
Type of Technology
Intelligent-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 12.80mn
Practice AreasAuto, Internet of Things, Artificial Intelligence, Geo - China Tech, Autonomous Vehicles
78
Tier IV, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewTier IV, Inc., founded in 2015, is a provider of software and system-related solutions for developing autonomous vehicles. The Company, through its Autoware, offers an open-source software for self-driving technology. Tier IV also provides sensor fusion technologies including a fusion of laser scanners and cameras along with accessories to control autonomous driving functions from the front seats. During July 2019, the company raised USD 100mn for developing open source software for self-driving cars.
Type
Technology development
Headquarters
Tokyo, Japan
Number of Employees
N/A
Investors
Sompo Japan Nipponkoa Insurance, Yamaha Motor, JAFCO, KDDI Corp and Sony Innovation FUnd
Key Partners
Apex.AI, Linaro 96Boards
Application/Markets
R&D Platform, 3D mapping, predictionand planning
Key Products
AI Pilot
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 130.00mn
Organization Structure
Kazuya TakedaCEO and President
Practice AreasAuto, Internet of Things, Geo - Japan Tech, Artificial Intelligence, and Autonomous Vehicles
Autoware Data Platform
SpecialtiesAutonomous vehicles and their components and machine learning
Shinpei KatoFounder, CTO and Board Member
ROSBAG Recording ROSBAG Autoware Data
Simulation
3D Mapping
AI Research
DownloadUpload
Images
CAN Messages
Point Cloud
Users
79
TomTom International B.V.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot
Test Locations
Business OverviewTomTom International B.V., founded in 1991, develops and sells navigation and location-based products and services. The company provides maps, navigation software and services. TomTom’s automotive business unit offers components for embedded navigation systems, mobile applications, advanced driver assistance systems (ADAS), and autonomous driving (AD) applications to OEMs and head unit (Tier 1) vendors. The company operates through 43 offices spread across 29 countries.
Organization Structure
Jacqueline BakkerDeputy Chairman
Harold GoddijnCEO
Derk HaankChairman
Alain De TaeyeNon-Executive Director, Cylent
Taco TitulaerCFO
Automotive & Enterprise 54%
Consumer46%
2018AUSD 811mn
Automotive66%
Enterprise34%
2018AUSD 439mn
Key Products
Maps Traffic
Navigation Maps APIs
Type
Technology development
Headquarters
Amsterdam, the Netherlands
Number of Employees
5,077
Investors
N/A
Key Partners
BMW, Daimler, Fiat, Renault, VW,PSA, Nissan Mitsubishi
Application/Markets
Internet Software
Key Products
Maps, Navigation Software
Type of Technology
Location-Based Technologies
Revenue (Automotive and Enterprise)
USD 439.00mn
Total Capital Raised
N/A
80
Voyage Auto, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot Business OverviewVoyage Auto, Inc., founded in 2017, is a provider of autonomous taxi service intended to carry people anywhere for a very low cost. The company's autonomous taxi service focuses on creating a fleet of self-driving taxis using retrofitted mass-production automobiles, enabling passengers to control the whole experience.
Type
Technology development
Headquarters
Palo Alto, California, US
Number of Employees
71
Investors
Jaguar Land Rover, Initialized Capital, SV Angel, Khosla Ventures, Charles River Ventures, InMotion Ventures
Key Partners
N/A
Application/Markets
Transportation, trucking, railroad
Key Products
Autonomous taxi service
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 23.22mn
SpecialtiesAutonomous vehicles, deep learning, robotics, and machine learning
Practice AreasAuto, Geo - US Tech, Internet of Things, Autonomous Vehicles
Organization Structure
Drew GrayCTO
MacCallister Higgins
Co-Founder and Director -Growth
Oliver CameronCo-Founder and CEO
81
Waymo LLC
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot
Test Locations
Business OverviewWaymo LLC, founded in 2009, is a self-driving technology development company. The Company offers self-driving autonomous cars to do everyday things. Waymo serves customers in the US. Waymo operates as a subsidiary of a Alphabet since 2016.
Organization Structure
Deborah A P HersmanChief Safety Officer
Amee ChanChief Commercial Officer
John KrafckikChief Executive Officer
Jennifer HaroonHead-Business Development
Dmitri DolgovHead-Self Driving Technology
Ronald L Medford RonDirector-Sales
MIDetroit
GAAtlanta
TXAustin
AZPhoenix, Chandler, GilbertGuadalupe, Mesa, Tempe
CAMountain View, Carmel, Daly City,Half Moon Bay, Los Altos, Menlo Park,Merced, Morgan Hill, San Francisco, San Luis Obispo, Santa Cruz, Sunnyvale,Polo Alto, Tiburon, Truckee
WAKirkland
Type
Technology development
Headquarters
Mountain View, California, US
Number of Employees
950
Investors
N/A
Key Partners
Intel, FCA, Jagua-Land Rover, Lyft
Application/Markets
Internet software
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
USD 5.00mn
Total Capital Raised
USD 8.00mn
82
WeRide.ai
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch, Tracxn
Company Snapshot
Technology
Business OverviewWeRide.ai, founded in 2017, is a smart mobility company that creates L4 autonomous driving technologies for passenger vehicle market. The company has successfully deployed & tested its full-stack (hardware + software) autonomous technology powered by artificial intelligence, computer vision, multi-point simulation, sensor fusion, and related technologies. The Company maintains R&D and operation centers in Beijing and Anqing, and Silicon Valley in the US. WeRide aims to bring autonomous vehicles in operation in Chinese cities by 2020.
Organization Structure
Li ZhangCOO
Yan LiCo-Founder and CTO
Tony HanCo-Founder and CEO
Qing LuCo-Founder, CFO and President
Type
Technology development
Headquarters
Guangzhou, China
Number of Employees
200+
Investors
Alliance RNM, SenseTime, AgriculturalBank of China, Qiming Venture, JohnsonElectric, Idinvest Partners, Hanfor
Key Partners
N/A
Application/Markets
Smart Mobility
Key Products
Full stack software & hardware forautonomous vehicles
Type of Technology
L4 AD technologies
Estimated Revenues
USD 1.00mn
Total Capital Raised
USD 52.00mn
Practice AreasAuto, Internet of Things, Geo - US Tech, Artificial Intelligence, Geo - China Tech and Autonomous Vehicles
Cross-Verified Sensor
Front Nose LiDAR
Real-time Data Sync
360-degree Field of View
250-meter Range
83
Zoox, Inc.
Source: Company Website, Press Releases, Company Presentation, LinkedIn, Owler, Bloomberg, CapIQ, PitchBook, Tech Crunch
Company Snapshot
Specialties
Business OverviewZoox, Inc., founded in 2014, Zoox designs and develops self-driving vehicle technology and manages a fleet of cars. The company is developing platforms and solutions for fully autonomous driving, zero-emission vehicles, and mobility-as-a-service. Zoox integrates the latest automotive, robotics and renewable energy to design a symmetrical, bidirectional, zero-emissions vehicle.
Robotics, Artificial Intelligence, Autonomous Mobility, Self-Driving Cars, Vehicle Development, Computer Vision, Machine Learning, Simulation, Motion Planning, Electric Vehicles, LIDAR, and Sensors
Organization Structure
Erika LinfordVP, Commercial Development
Jesse LevinsonCo-Founder and CTO
Aicha EvansCEO
Amy VernettiChief People Officer
Brijesh TripathiVP, Advanced Hardware Engineering
Type
Technology development
Headquarters
Foster City, California, US
Number of Employees
c.500
Investors
Blackbird Ventures, Grok Ventures, Lux Capital, Threshold Ventures
Key Partners
N/ A
Application/Markets
Internet software
Key Products
Automotive software
Type of Technology
Self-driving technology
Estimated Revenues
N/A
Total Capital Raised
USD 970.00mn