Meet the Innovator Scaling a Business to Make Roads and Sites Safer

Why It Matters

Rhevia’s predictive data service gives local authorities actionable insights to prevent pedestrian fatalities before they occur, reshaping how road safety investments are prioritized worldwide.

Key Takeaways

• Rhevia raised £600k (~$770k) VC to expand globally
• System installed in Southend, Coventry, and Nestlé York trial
• Radar‑based Lodestar alerts drivers, avoiding intrusive cameras
• Data platform maps pedestrian near‑misses for proactive road design
• Connected Places Catapult accelerated product via TRIG and Freight fund

Pulse Analysis

Pedestrian fatalities remain a stubborn challenge for transport planners, with traditional safety measures reacting only after deaths occur. Rhevia, born from Dorian Isaacson’s frustration at unsafe zebra crossings, leverages radar and AI to detect pedestrians about to step onto a crossing and flash an intelligent Belisha beacon. By sidestepping cameras, the system respects privacy while delivering real‑time alerts, a combination that has secured early deployments in Southend‑on‑Sea, Coventry and a Nestlé manufacturing site.

Beyond the hardware, Rhevia is building a cloud‑based analytics platform that aggregates near‑miss events into a digital map of pedestrian risk. This data enables councils to identify high‑danger zones and implement targeted interventions—such as flashing speed signs or redesigning road geometry—before a serious injury occurs. The shift from "trailing" indicators (fatalities) to "leading" indicators (predicted risk) promises more efficient allocation of public funds and could become a new benchmark for road‑safety policy across Europe and North America.

The company’s rapid progress owes much to the UK’s Connected Places Catapult, which provided grant funding, industry connections and validation that attracted Bethnal Green Ventures’ backing. With a fresh £600,000 injection, Rhevia plans to scale its data service into Germany and the United States, targeting a £100 million valuation within seven years. If successful, the model could inspire a wave of sensor‑driven, data‑centric safety solutions, reshaping how cities and ports manage pedestrian risk in an increasingly connected transport ecosystem.