AI Driving Risk Management
Creating A Safer World For The Future Of Autonomous Transport
SEE OUR SOLUTIONS IN ACTION
Safer AV Driving with Advanced AI Driving Risk Management
V3’s AI Driving Risk Management solution is a patented, end-to-end platform designed to analyze and predict potential risks in autonomous vehicle (AV) operations. By combining advanced analytics with intelligent monitoring, the system continuously evaluates driving behavior and vehicle performance to detect unsafe patterns such as harsh braking, rapid acceleration, speeding, or signs of distracted driving; recognized by industry safety standards. This proactive approach helps identify risks early and supports efforts to prevent accidents before they occur.
Take a data-driven approach to improving safety, optimizing vehicle operations, and protecting road users toward safer autonomous mobility. Learn how our AI driving risk management solution can help you assess, monitor, and reduce AV driving risks with confidence.
AI Driving Risk Management,
Designed For The Future
Measure EV &
AV Risk
Live driving data is gathered from dash cams and sensors to accurately assess driving risk and predict driving patterns.
Reduce Claims
By providing accurate driver risk rating profiles, our solution enables more precise underwriting for auto insurance policies and promotes safer driving habits.
Real-time
Safety Alerts
Improve safety compliance by receiving real-time alerts when PPE guidelines are not followed, enabling quick corrective action to be taken to ensure workers are protected at all times.
Open Integration
Our solution seamlessly integrates with third-party enterprise software to provide ease of data access while providing driver risk profiles and comprehensive reports.
Making Autonomous Driving Safe For Everyone
V3 AI driving risk management solution is designed to address driving risk concerns in the AV industry. Our goal is to assist you in monitoring and reducing AV driving risks through:
Accident
Prevention
Our solution detects unsafe driving behaviour and situations, and alerts drivers along with their passengers to proactively prevent accidents.
Reduction in
Accident Claims
Through reliable risk evaluation for drivers and real-time driving monitoring, we can minimise accidents and in turn, reduce claims for vehicles.
Accurate Risk Measurements
for AV Underwriters
Driving risk profiles created from data gathered by our solution will allow AV underwriters to accurately assess driving safety and improve insurance policies.
Safe Driving
Encouragement
Drivers can be monitored through risk rating profiles, and rewarded with lower priced auto insurance premiums to incentivise safe driving habits.
Optimisation of the
Mobility Network
Real-time vehicle data can be accessed from the cloud, allowing for quick diagnostics in the transport network and improving shared mobility services for drivers and passengers.
Higher Traffic
Efficiency
With AV safety monitoring in a highly connected transport network, we can minimise road accidents and provide drivers access to real-time traffic data to reduce road congestion.
How Our AI Driving Risk Management Solution Works
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1
Easy to Implement
Analyse driving risk more accurately by using vehicle dash cams and sensors together with your smartphone.
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2
Accessible on Mobile
Access trip logs, accident reports, 3D maps and driving risk scores on-the-go with ease through our user-friendly mobile app.
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3
Connected in Real-time
Sync vehicle data on demand with our solution to access up-to date information anytime.
A Solution That Benefits All In The AV Industry
In addition to enforcing AV driving safety, our solution provides reliable risk ratings for auto insurance underwriting. By integrating blockchain security with big data collection, AV safety monitoring is accurate and transparent to drivers, underwriters, auto manufacturers, and AV policy decision-makers.
Automotive Underwriters
Automotive Underwriters
AV Developers
AV Developers
MaaS Providers
MaaS Providers
Fleet Owners
Fleet Owners
Traffic & Government Agencies
Traffic & Government Agencies
Passengers
Passengers