
Brodmann17 makes vehicle safety systems smarter by running advanced computer-vision AI on low-power hardware to detect and interpret driving scenes. The company uses deep learning neural networks and patented perception software that extracts rich information from video while reducing compute needs by up to 95%. Their hardware-agnostic edge-to-cloud architecture runs on low-power processors and integrates with OEM and Tier‑1 supplier workflows for ADAS and telematics. Brodmann17 targets mass-market passenger vehicles, video telematics, and micro-mobility, positioning its scalable B2B edge AI for deployment at automotive scale.

Brodmann17 makes vehicle safety systems smarter by running advanced computer-vision AI on low-power hardware to detect and interpret driving scenes. The company uses deep learning neural networks and patented perception software that extracts rich information from video while reducing compute needs by up to 95%. Their hardware-agnostic edge-to-cloud architecture runs on low-power processors and integrates with OEM and Tier‑1 supplier workflows for ADAS and telematics. Brodmann17 targets mass-market passenger vehicles, video telematics, and micro-mobility, positioning its scalable B2B edge AI for deployment at automotive scale.