Ride Vision develops the Ride Vision 1, an AI-based, computer-vision safety system for motorcycles that provides forward-collision alerts, blind-spot monitoring, proximity warnings and ride recording. The on-bike hardware includes front and rear wide-angle cameras, mirror-mounted alert indicators and a main computing unit. The company holds patents on its human-machine warning interface and vision algorithms. Ride Vision has announced a partnership with automotive parts manufacturer Continental and plans an international launch, with availability in several European markets in early 2021 and broader rollouts to follow. The broader market tailwind noted in the article is a 30% increase in European two-wheeler sales during the pandemic. Financially, the company has raised a total of $10 million to date. Ride Vision develops CAT™ (Collision Aversion Technology), a fusion of neural‑network deep learning and computer vision that provides motorcycles with 360° predictive vision. CAT leverages standard hardware and cameras to detect threats beyond the rider’s sight, predict risk and highlight relevant threats within hundreds of milliseconds (around 100 ms). The system is designed to be affordable, avoid complex hardware or expensive cameras, and can be incorporated into any new or traded motorcycle. Ride Vision positions the product to address high motorcycle fatality rates cited by NHTSA and EU statistics and to serve a large global motorcycle market (the article cites 132.4 million motorcycle units sold in 2018 and an expected $150 billion market by 2022). On June 14, 2018 the company announced $2.5M in seed funding led by YL Ventures to bring the technology to market. Leadership includes CEO & Co‑Founder Uri Lavi and a team described as technologists who are also motorbike riders.

Total raised

$10M

Funding rounds

2

Latest round

Series A

Latest activity

Nov 2020