Sound Detection

Voice Recognition

Sound Source Localization

Emotion Recognition

Music Information Retrieval

Virtual Voice Assistance

V2M - a Pioneer in Computer Hearing

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.

Learn how

WHY ARE WE HERE

Blind spots and imperfect onboard diagnostic with lack of experience leave drivers ill-equipped to accurately discern unfamiliar car noises or sounds.

Wheel hub bearings
Wheels
Shafts
Axels
Ball-joints
Bushings
Control arms
Bottom mudflaps
Belts
Tensioners
Idlers
Pulleys
Rotors
Pumps
Fasteners
Springs
Alternators
Motor bearings
Anti-roll bar bushings and links
Shock absorbers

Test your hearing and knowledge in our quiz game

OUR SOLUTION

Two 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 dinto 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

Software

Design based on widely available components
No need to change the supply chain
No specific certification required
Cost effective
High reliability

Hardware

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

MEDIA

Acoustic based vehicle diagnostic system

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This novel tech listens to your car to diagnose issues

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V2M tech is designed to catch car problems – by listening for them

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Without AI you can’t be safe on the road

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AI-based self-diagnostic solution for vehicles makes one hear malfunctions to Improve safety

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Acoustic fault trace as a diagnostic parameter of modern vehicles

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AI diagnoses a vehicle by its sound

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V2M’s cutting-ddge neural networks transform automotive fault diagnosis

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OUR JOURNEY

2021

Spin-off from academic R&D
Prototype developed
V2M company incorporated

2022

Patent pending
Prototype built
Road tests started
Pre-seed fundraising

2023

Software upgraded (new method)
Prototype upgraded (easier & cost effective set up)
Proof-of-concept
Intellectual property upgrades

2024

Two pilot projects with car manufacturers
Recruiting (team expand)
First MVP production
Seed invest round
Predictive diagnostic R&D

2025

First revenue
Predictive diagnostic road tests

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.

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.

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.