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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

V2M – ONE

AI-powered device for on-board vehicle diagnostics
Our first solution in production-ready form.
An easy to install device that listens to car sounds to diagnose issues. It detects malfunctions, by listening and analyzing sounds with incredible accuracy in real-time mode.
V2M ONE device
Buy
92% DETECTION
ACCURACY
INDUSTRY AND EXPERT RECOGNITION. NSF APPROVED DIAGNOSTIC TECHNOLOGY. PATENTED BY THE USA GOVERNMENT
FASTER DIAGNOSTIC
PROCESS IN REAL TIME
OBJECTIVE DATA
AND FULL TRANSPARENCY
SAVED TIME
AND COSTS
INDUSTRY AND EXPERT RECOGNITION.
NSF APPROVED DIAGNOSTIC TECHNOLOGY.
PATENTED BY THE USA GOVERNMENT

HOW IT WORKS

Devices are temporarily installed on a vehicle, the vehicle is driven for a few minutes while devices collect sound data, the device is removed to recharge and retrieve data. Audio data is transmitted to a V2M cloud server where it is analyzed by V2M AI, embedding-based and reconstruction-based methods are employed for anomaly detection. After a short period of time, the test report is sent back to the user via V2M application.
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

NEXT IN LINE

V2M - GUARD

On-board system monitors mechanical systems and provides predictive analytics for each vehicle in your fleet 24/7
  • Live data about your fleet
  • Proactive maintenance and repairs
  • Freight delivered on time
  • Awareness and protection for your autonomous fleet
  • Increased safety on the roads

V2M - SHIELD

Integrated predictive acoustic detection system for electric, semi-autonomous, and high-end cars
  • Increased safety for autonomous vehicles
  • Predictive analytics and diagnostics
  • Live data for drivers
  • Valuable insights for manufacturers

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
"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
Read full article

Report

The first original report crafted by V2M team provides comprehensive analysis of AI implementation and effects on automotive industry. Released in May 2024.

Read

MEDIA

Acoustic based vehicle diagnostic system
Read full article
This novel tech listens to your car to diagnose issues
Read full article
V2M tech is designed to catch car problems – by listening for them
Read full article
Without AI you can't be safe on the road
Read full article
AI-based self-diagnostic solution for vehicles makes one hear malfunctions to Improve safety
Read full article
Acoustic fault trace as a diagnostic parameter of modern vehicles
Read full article
AI diagnoses a vehicle by its sound
Read full article
V2M's cutting-edge neural networks transform automotive fault diagnosis
Read full article
This novel tech actually ‘listens’ to your car to diagnose issues
Read full article

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
Petr Bakulov
Founder & CEO, PhD
Entrepreneur and scientist. 15 years of automotive business. Inventor, author and leader of V2M. Former professor of "Transport Telematics" and racing driver
LinkedIn Petr @ LinkedIn
Igor Kordunsky
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
Andrew Maltsev
Andrew Maltsev
Engineer
With more than 35 years of hands-on experience. Graduate with honors, Andrew excels in electrical engineering, PCB design, radioelectronics, and electro-acoustics
Anton Labozin
Anton Labozin
Technology consultant
20+ years in IT, skilled in software and hardware. Expertise in circuit design (analog, digital, power), embedded systems, OS kernels, and drivers. Strong backend experience (big data, high-load DBs, fault tolerance) and frontend development for web and mobile
Sergey Lomachev
Sergey Lomachev
Technology consultant
Experience in developing enterprise systems and intelligent electronics. Specialized in designing telemetry collection, embedded operating system development and in building and maintaining high-load database systems
Roman Gordeev
Roman Gordeev
C&I Research Scientist
An engineer, software developer, project manager, co-founder, and CEO. Roman's path to success from ground zero adds invaluable expertise to V2M
Alexander Iovlev
Alexander Iovlev
AI Engineer
A 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
Vladislav Zaigraev
Vladislav Zaigraev
AI Engineer
An experienced AI specialist with a strong technical and mathematical background, specializing in speech, language, and audio analysis
Sergey Surguchev
Sergey Surguchev
AI Engineer
Machine learning engineer specializing in computer vision. Developer of visual perception systems for the Formula Student Driverless team
Vladimir Ezhov
Vladimir Ezhov
IT Specialist
Vladimir is an IT guru and geek
Oleg Shevchenko
Oleg Shevchenko
Front-End Developer
5+ years of experience specializing in Angular and Ionic. Skilled in building scalable web and mobile applications, optimizing performance, and implementing modern UI/UX solutions
Anton Kaplun
Anton Kaplun
Strategic Advisor
Anton specializes in designing winning GTM strategies and operations for startups. Most recently, he contributed to the successful growth and funding of Clio and AppZen
Valya Moleva
Valya Moleva
Communication Designer
A multidisciplinary designer with over 10 years of expertise in visual presentation of ideas across all platforms and touchpoints.

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
V2M Inc.
NYC, United States
ceo@v2minc.com
+1 212 433 29-22
LinkedIn
V2M @ LinkedIn

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