Spearheading a new AI field which called Computer hearing, V2M creates a
solution for on-board diagnostics using sound. The development of V2M can not only effectively find and
detect malfunctions while driving, but also predict future breakdowns.
We already made it possible for cars.
Acoustic sensors collect sound and convert it into a digital signal.
The signal is transmitted by wire to the control unit.
The control unit converts the signal into a sound file.
The unique AI-powered software of V2M analyzes the sound file to determine if there’s a malfunction on board and, if so, what type of malfunction it is.
Click at to see V2M hardware in real life
Acoustic sensor
Control unit
Acoustic sensor
Hardware
Design based on widely available components
No need to change the supply chain
No specific certification required
Cost effective
High reliability
Software
Operates in a real time mode
High accuracy
No Internet connection needed
Easily installed in current vehicle hardware
“The solution V2M is proposing could very well delight customers and add to the value proposition that many brands wish to offer their customers through integrated and connected solutions.”
Theo-Han Jansen
Strategy & Product Management at WirelessCar
Report
The first original report crafted by V2M team provides comprehensive analysis of AI implementation and effects on automotive industry. Released in May 2024.
Prototype upgraded (easier & cost effective set up)
Proof-of-concept
Intellectual property upgrades
2024
Two pilot projects with car manufacturers
Recruiting (team expand)
MVP
2025
First revenue
Predictive diagnostic R&D
Team
Petr Bakulov
Founder & CEO, PhD
15 years of experience in the automotive business, 10 years of academic work, former professor of department “Transport telematics” MADI, RDRC winner. Entrepreneur and scientist, racing driver. Author and leader of the V2M.
Igor Kordunsky
Engineer
R&D team leader and contributor for 25+ years: DFM; motion, algorithms, electronics, data acquisition, actuators, and sensors. Proficient in 3D modelling and FEA, and PCB design
Vladislav Zaigraev
AI Engineer
An experienced AI specialist with a strong technical and mathematical background, specializing in speech, language, and audio analysis.
Sergey Surguchev
AI Engineer
Machine Learning engineer in Computer Vision field. Developer of a visual perception system in Formula Student Driverless team.
Andrew Maltsev
Engineer
Engineers's degree with honors, more than 35 years of experience in development.
Alexander Iovlev
AI Engineer
An ML research engineer and educator, combining a passion for AI with a strong background in hardware design and embedded systems to drive innovative solutions in technology.
Roman Gordeev
C&I Research Scientist
Engineer, software developer, project manager, co-founder and CEO. Roman had a long way to success from zero and bring all of his expertise to the V2M.
Vladimir Ezhov
IT Specialist
More than 20 years of experience. Vlad is a real guru and geek in IT.
Valya Moleva
Communication Designer
A multidisciplinary designer with over 10 years of expertise in visual presentation of ideas across all platforms and touchpoints.
Indra Sutalaksana
Financial Strategist
An accomplished business professional with an extensive experience and well-versed academic background in law and supply chain management.
Ivan Mishanin
Advisor
Co-founder and COO of Brainify.AI. Founder and CEO of Bright Box before its acquisition by Zurich Insurance Group for $75 million.
GAME
Listen to the sounds of real malfunctions and match them with the suggested variations. You will only have one try.
Front right hub
0:00
Rear left hub
0:00
Alternator
0:00
Bevel gear bushing
0:00
Front right hub
Bevel gear bushing
Real left hub
Alternator
Sound 1
Sound 2
Sound 3
Sound 4
CONTACT US
Please fill in the form if you want to learn more about the possibilities with our product
Please fill in the form if you want to learn more about the possibilities with our product
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DRIVING INNOVATION:
THE IMPERATIVE FOR AUTOMOTIVE COMPANIES TO EMBRACE AI