V2M COMPANY AI-powered solution for vehicles diagnostic.

V2M is a company incorporated in Delaware. Drawing from our extensive expertise in sound and vehicle diagnostics (spanning from 1978 to the present), we've crafted a novel approach using patented technology to identify car issues based on the unique sounds of actual malfunctions. Our system detects car malfunctions by the sound the car is making. Truly, it's the future that has arrived.

We boast over a decade of scientific achievements, which encompass 8 publications in reputable scientific journals (including Scopus) and 3 presentations at global conferences.
Our team is comprised of experts in Transport Telematics, Engineers, Software Developers, and Acoustic Analysts.
Our founder holds a PhD in automotive field (vehicles operation), serves as a former professor at a state university, and is an entrepreneur who owns a dealership.
In 2023, our prototype completely works. The future is coming, and with V2M, vehicles will be outfitted with 100% comprehensive onboard diagnostic systems!

Right now, if your car breaks you only have a few options. You can:

  • Fix the problem yourself;
  • Go to your mechanic;
  • Call Roadside Assistance;
  • You can also make an appointment at the dealer.

Many of these solutions come at a high cost and can be challenging for vehicle owners. Just two decades ago, being a "driver" was considered a profession. However, today's driving school curriculums often overlook fundamental knowledge about vehicle mechanics. This leaves contemporary drivers potentially ill-equipped to accurately discern unfamiliar car noises or sounds.


Of all requests for repairs contained the concept of "diagnosis". The data include all requests, where at least one of the items was diagnosis (of any kind).


It turns out that 14.7% of all requests (that is more than half of the diagnostic requests) contained the presence of any noise as a symptom of failure.


  1. Two acoustic sensors collect sound and convert it into a digital signal.
  2. The signal is transmitted by wire to the control unit.
  3. The control unit converts the signal into a sound file.
  4. The unique AI-powered software of V2M analyzes the sound file to determine if there’s a malfunctionon board and, if so, what type of malfunction it is.
Click at to see V2M hardware in real life
  • Design based on widely available components
  • No need to change the supply chain
  • No specific certification required
  • Cost effective
  • High reliability
  • 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


How V2M can help on the real roads?


V2M makes cars to hear the sound of a malfunction and determine what exactly the problem is. The main idea behind this project was to increase safety on the roads. The company is already developing a scoring model that will be able to predict potential malfunctions by the sound of the car. Telematics Wire explores more about this new technology with its founder Petr Bakulov.

Read more
  • Spin-off from academic R&D
  • Prototype developed
  • V2M company incorporated
  • Patent pending
  • Prototype built
  • Road tests started
  • Pre-seed fundraising
  • Software upgraded (new method)
  • Prototype upgraded (easier & cost effective set up)
  • Proof-of-concept
  • Intellectual property upgrades
  • Two pilot projects with car manufacturers
  • Recruiting (team expand)
  • First MVP production
  • Seed invest round
  • Predictive diagnostic R&D
  • First revenue
  • Predictive diagnostic road tests


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
Sergey Surguchev
AI Engineer
Machine Learning engineer in Computer Vision field. Developer of a visual perception system in Formula Student Driverless team.
Andrew Maltsev
Andrew Maltsev
Engineers's degree with honors, more than 35 years of experience in development.
Roman Gordeev
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.
Ivan Mishanin
Ivan Mishanin
Co-founder and COO of Brainify.AI. Founder and CEO of Bright Box before its acquisition by Zurich Insurance Group for $75 million.
Vladimir Ezhov
Vladimir Ezhov
IT Specialist
More than 20 years of experience. Vlad is a real guru and geek in IT.
Vladimir Ezhov
Indra Sutalaksana
Financial Strategist
An accomplished business professional with an extensive experience and well-versed academic background in law and supply chain management.
Front right hub
Rear left hub
Bevel gear bushing


Listen to the sounds of real malfunctions and match them with the suggested variations. You will only have one try.
Sound 1
Sound 2
Sound 3
Sound 4


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to know more about the product.

V2M Inc.
220 E 23rd street, suite 400
New York, NY, 10010