Amsterdam, 16 September 2025 – Webfleet, Bridgestone’s globally trusted fleet management solution, and Peregrine.ai, a Berlin-based startup transforming mobility through AI-powered vision systems, today announced the launch of a next-generation driver assistance solution. This solution sets a benchmark for fleet safety and is easily retrofitted into any commercial vehicle via an over-the-air update – regardless of make, model or age.
The Webfleet Video solution is a paid service upgrade that equips fleets with visual intelligence that not only sees the road but understands driving context. It detects hazards such as speeding, red light violations, adverse weather, slippery roads, and size or weight restrictions – bringing real-time environmental awareness to a vehicle segment that has historically lacked such embedded intelligence.
“This is a major step in our mission to make mobility safer and smarter,” said Jan-Maarten de Vries, President, Fleet Management Solutions at Bridgestone. “Together with Peregrine.ai, we’re delivering a next-generation driver safety solution that goes far beyond traditional dashcams – detecting and contextualizing road events and risks as they happen.”
By transforming visual data into real-time in-cabin alerts and actionable fleet insights, the system helps drivers avoid accidents and enables fleets to improve safety, compliance, and operational performance – all without investing in new vehicles.
“We’re proud to contribute our contextual AI technology to this collaboration,” added Dr. Steffen Heinrich, CEO of Peregrine.ai. “By making existing vehicles smarter with real-time insights, we’re helping fleets operate more safely and efficiently – at scale, and on the road today.”
This launch also reflects Bridgestone’s broader mission of serving society with superior quality. According to road safety economists1, vehicle crashes cost up to 4.1% of European Gross Domestic Product (GDP). With this new service, Webfleet aims to help fleets reduce risk, support ESG goals, strengthen driver retention, and manage rising insurance and liability costs.
About Webfleet
Webfleet is Bridgestone’s globally trusted fleet management solution. More than 50,000 businesses across the world use it to improve fleet efficiency, support drivers, boost safety, stay compliant and work more sustainably. For more than 25 years it has been empowering fleet managers with data-driven insights that help them optimise their operations.
Webfleet contributes towards the delivery of The Bridgestone E8 Commitment. This broad, global corporate commitment clearly defines the value Bridgestone is promising to deliver to society, customers and future generations in eight focus areas: Energy, Ecology, Efficiency, Extension, Economy, Emotion, Ease and Empowerment. These provide a compass to guide strategic priorities, decision making and actions throughout every area of the business.
More information at: webfleet.com. Follow us on X: @WebfleetNews and LinkedIn @Webfleet. For more information on Bridgestone corporation visit Bridgestone.com or the Bridgestone Newsroom.
About Peregrine.ai
Peregrine.ai is a Berlin-based AI company transforming cameras in cars into a network of intelligent, real-time sensors. Its unique Edge AI technology uses compact, efficient neural networks to process large volumes of data directly on devices – cutting costs, emissions, and reliance on centralized infrastructure.
Peregrine’s flagship video telematics product, Peregrine Vision, delivers instant, privacy-compliant insights in real-time. It powers critical applications like risk detection, driver behavior analysis, and event-based alerts – which contribute to the company’s vision for a safer mobility for all. Peregrine Vision is built for scale, designed for integration with partners, and ready for the future of connected mobility.
For more information on Peregrine Technologies GmbH visit peregrine.ai. Follow us on Linkedin: @Peregrine.ai.
- Wijnen et al. (2019), An analysis of official road crash cost estimates in European countries, Safety Science (113), 318-327 ↩︎
