Case Study: Streetscope achieves faster AI safety measurement with Vynyl

Streetscope reduces collision risk assessment time by 85% with Vynyl

Vynyl partnered with Streetscope, a company focused on AI-driven traffic safety, to address a fundamental challenge in the autonomous vehicle industry. Traditional safety metrics required billions of miles of driving data from actual collisions, leaving valuable near-miss events and hazardous interactions unmeasured. Streetscope needed a technology partner to build a complex platform capable of processing vast amounts of video data to compute these leading safety indicators.

The solution implemented by Vynyl included a GPU-accelerated computer vision pipeline for object detection, proprietary algorithms for hazard computation, and a scalable AWS infrastructure. This enabled Streetscope to automate video analysis, reducing collision risk assessment time by 85% and generating 6x more safety insights from non-collision events. Vynyl's work revolutionized insurance risk assessment by providing leading safety indicators and empowered Streetscope with a scalable, production-ready platform.

Streetscope