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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

  1. 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 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.

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-ddge neural networks transform automotive fault diagnosis
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 - $100k
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)
  • 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.
Sergey Surguchev
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
Sergey Surguchev
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 in Computer Vision field. Developer of a visual perception system in Formula Student Driverless team.
Andrew Maltsev
Andrew Maltsev
Engineer
Engineers's degree with honors, more than 35 years of experience in development.
Alexander Iovlev
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
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
Vladimir Ezhov
IT Specialist
More than 20 years of experience. Vlad is a real guru and geek in IT.
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.
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.
Indra Sutalaksana
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
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
V2M
220 E 23rd street, suite 400
New York, NY, 10010
V2M Inc.
NYC, United States
ceo@v2minc.com
+1 212 433-29-22
V2M @ LinkedIn

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