Laminate IT Team

Ruslan Vorobyev, CEO Ivan Kremnev, CTO

Studied together in fundamental Mathematical, Mechanical & Computer Sciences for 5 years

Technological track:

Industrial Technologies

Technological topic:

Digital Industry

Millennial STEM enthusiasts, inventors and entrepreneurs in the field of cutting-edge solutions

Cycling fans

Presentation outline

Issue & Challenge

Technology & Product

Commercialization Plan

Market, Competitors & Peers

Project Roadmap

Project Team Expertise

Issue & Challenge

Leading manufacturers of dimensional composite products annually invest up to $ 10 M to mitigate production risks without obtaining the expected result

● Inability to keep track of minor bugs

● Occurrence of defects

● Lack of prediction

Number of publications per year satisfying the search criterion of ‘defects in composites’ has increased from two publications in 1989 to 554 publications in 2016;

¹Science Citation Index

Complexity of production digitalization: errors during Vacuum Infusion (VARTM) process leads to defective products;

Potential speed up of production efficiency by up to 32% while reducing risk prevention costs by 47%;

4

Technology & Product

Based on the experimental installation of the VARTM and computer vision algorithms, the Laminate IT complex allows for quality control directly during the production phase, thus contributing to the saving of time and financial resources, reducing the amount of rejects.

Outdated standards in terms of modern technologies; direct modeling approach

Full-fledged PLM approach:

CAD/CAE/CAM; changes

management & simulation

Design Production Support

5

Constant monitoring; recast of the products in case of the error; up

to 50 people are involved

Automated single operator monitoring system for tracking

and preventing defects

Сontinuous repair of products at the end of their service life

Continuous improvement of the algorithms based on experience and peripheral automatization

Object

PR

ESE

NT

LAM

INA

TE IT

Composite material production technique

Computer Vision & Machine Learning

Technology & Product

Videostream, pressure and temperature are

recorded with sensors

The developed pipeline analyzes several

technological parameters with computer vision

and machine learning algorithms

Possible discrepancies with the mathematical

model of the infusion process are shown on

operator’s screen

The operator / binder distribution algorithm

takes measures to prevent defects (pressure

changes, relocation of the power port, etc.)

6

[video to be played during presentation]

Technology & Product

Process module

Specific physical data processing unit, camera data acquisition system and resin flow distribution valve-pump system

Pre/post-guarantee services

Prompt resolution of issues related to working with the system, resolving problems with error codes, urgent departure of specialists to eliminate problems

Training of personnel

Operator training to work with the system, calibration and launch for a specific product & geometry, get experience with model training

Software license

License for using pre-installed software for processing received data and verification with a simulation model using a patented algorithm

PRODUCT: package of services for the integration of a digital twin for the production of large-scale jointless composite products

7

Commercialization Plan

8

The launch of MVP at the partner’s production will make it possible to profit up to 25 M RUB per year

Entering the market of India and China - the main manufacturers of blades for windmills for Europe and the United States, respectively: cooperation with at least 2 plants will bring up to 55 M RUB year profit

Net profit up to 95 M RUB in the 3rd year after the successful pilot integration on 6 composites plants

Negotiations on pilot launch are in process: customer creates a demand for products in connection with the import substitution program

Unique mechanical quality of products in comparison with analogues; increased interest of scientific & military structures, which accelerates the implementation of the prototype in enterprise

Quick launch due to development of a certain “standard” and experience-driven and automated active improvement that allows rapid deployment of the system for composite products production

CurrentlyMonetization

Personalized estimation of client specific needs on product characteristics

Annual subscription to the provision of Laminate IT high-end services complex

System set deployment, personnel training for calibration & maintenance

Technical & IT support of the product, annual data & user experience driven

improvements

Market, Competitors & Peers

The target audience:

High-tech industrial giants in the manufacture of large dimensional composite products (aircraft parts, ship & yacht bodies, wind turbine blades and others)

Channels for reaching the target audience:

● Specialized conferences and exhibitions

● Industry-Oriented science journal articles

● Product Presentation to Management Team

Demand for CFRP products has steadily increased since

the general economic downturn in 2009. It is predicted

that the market will grow at a substantial pace ~20% per

year from 2016 to 2024².

CFRP composites market forecast 2025

Russia

Germany

9²Carbon Fiber Reinforced Polymers (CFRP) Composites Market Forecast 2015-2025, VisionGain INC

Market, Competitors & Peers

10

“Sufficiency” of data: data on the morphology of the structure are also included, which competitors do not have in the planned solution; a predictive model not only for the binder front, but for a combination of physical parameters;

Support of multifunctional Skoltech lab and industrial partners; Full-fledged PLM approach: CAD, CAE, CAM: cost-effective product;

The development of domestic smart production of composite products, compliance with the national import substitution program (at the moment - sanctions on foreign raw materials for use in this industry).

Project Roadmap

II 2019

IV2021

III 2020 2022

R&D Launch Data collection

Realization & Sales (RF/EU)

Scaling, scaling & ...scaling!

Skolkovo Residency

Successful implementation of

technology with products of various

formats (from flat to complex curvilinear),

development of a primitive algorithm, market and needs of potential customers.

Coordination and signing of documents

for the current application, the

introduction of a valid prototype for the

production of a partner according to the

scheme of work with microgrants.

Product sales in the Russian Federation,

revision individually for the needs of the client. Entering the European market for competition

in the niche of alternative energy

sources (windmills).

Expansion of business development strategy

through hypothesis validation and

customer satisfaction around the world;

Opening of own R&D center for providing

support and enter new markets.

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Ruslan Vorobyev, CEO Ivan Kremnev, CTO

PhD candidate in "Mechanics and Mathematics" in the field of production & testing of composite products;

Over 4 years in the engineering of complex technical products in heavy industry with a total implementation of projects worth more than 200 million rubles;

Scientific reserve in the field of porosity of composite materials and technologies for their production (>3 published scientific articles);

Expert in machine learning, computer vision and algorithms;

Successful implementation of projects for the construction of convolutional neural networks, support for the implementation of the Yandex Self-Driving Car project;

Scientific groundwork in the field of recognition, analysis and prediction on visual streaming data (>5 published scientific articles);