• Milestones
  • Team
  • Media
    •

    V2M brings AI-powered, data-driven intelligence to vehicle diagnostics.

    By recording and analyzing car sounds in minutes, V2M One detects mechanical anomalies with precision eliminating bias, improving accuracy, and accelerating decision-making across manufacturing, servicing, and operations.

    (01)

    Objective data in real time mode

    Cloud-based diagnostics deliver instant, verified data from any vehicle, empowering every player in the value chain with a standardized diagnostic language for reliable results for data-driven decisions.

    Shortens inspection time from 1.5 hours to 30 minutes

    Reduces per-order costs

    Streamlines workflow processes and maximizes efficiency

    Better client outcomes, driven by consistent service quality and trust

    80%

    Operational cost and time reduction

    x4

    Volume of inspection orders

    20%

    Increase in repeat customers

    (02)

    High detection accuracy

    V2M solution has been rigorously tested in real-world scenarios, across a wide range of conditions, vehicle types, and anomalies. Test results prove reliability and efficiency in identifying irregularities. Beyond simply identifying malfunctions, our technology demonstrated the capacity to distinguish between pronounced and minor issues.

    Improves reliability, eliminating bias and risk of misdiagnoses

    Detects more issues that require attention

    Drives awareness, proactive approach and preventive measures

    92%

    Proven accuracy of recognition

    30 - 50%

    More detected issues that require repair

    50%

    Increase in service revenue

    (03)

    Industry recognition

    Patented.

    DOC
    (04)

    Versatility

    Hardware designed from widely available components and fits every vehicle type combined with cross-platform software that runs on any mobile device. V2M solution is fully scalable and designed for any application. It benefits and addresses needs of every stakeholder in the automotive value chain from dealerships and repair centers, and car owners.

    No need to change the supply chain

    Fits every vehicle. Runs on every device

    How it works

    V2M-One sensors capture the vehicle’s sound, digitize it and upload the recordings — with time, speed and location metadata — to V2M’s cloud. There, a cascade of neural-network models trained on V2M’s own library of technician-confirmed recordings detects abnormal sounds, locates their source and matches them to known fault patterns. This is machine learning — artificial intelligence, or “Super Intelligence” (SI) in the U.S. federal government’s new terminology — applied to the one signal every mechanic already uses: what the car sounds like. In our field tests the system has picked up the hum of a failing wheel bearing before an experienced technician could hear it. In that one narrow domain — hearing early mechanical faults — it already outperforms the human ear.

    (01) Control units are temporarily installed to vehicle’s front and back, the vehicle is driven for a few minutes while sensors collect sound data.

    (02) After the test drive the sensors are removed to recharge and retrieve data.

    (03) 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.

    (04) After a short period of time, the test report is sent back to the user via V2M application.

    V2M device V2M device

    Why we are here

    Across the automotive value chain, critical diagnostic and maintenance decisions are still driven by human judgment rather than data. Dealers, OEMs, and fleet operators continue to rely on subjective assessments from technicians and internal experts resulting in costly errors, inconsistent appraisals, and preventable recalls.

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

    • Hub bearings

    • Shafts and axles (CV joint/CV axle)

    • Ball-joints and bushings (control arms)

    • Mudflaps

    • Auxiliary equipment (belts, tensioners, idlers, pulleys)

    • Shock absorbers/Struts/Coil springs

    Car
    Sound 1
    Sound 2
    Sound 3
    Sound 4

    The impact

    Why automotive industry players need V2M One and adoption of data-based diagnostics

    (01)
    Reduce recall and warranty costs through early, objective detection
    (02)
    Standardize and revolutionize used-car appraisals with verified diagnostic data
    (03)
    Enhance fleet and autonomous vehicle monitoring by giving operators “digital ears” in real time