Low-false-positive intrusion detection for remote outdoor sites
Remote outdoor infrastructure operators face frequent perimeter intrusions and theft while existing CCTV monitoring generates too many false alarms and slow responses.
Rimward is a software intrusion-detection system that converts existing camera feeds into verified, operator-ready alerts with low false positives.
Security and operations teams managing solar farms and other remote outdoor infrastructure sites.
FG is the founder & CEO of Rimward (S23). He earned a MSc in Mathematics and Computer Science from CentraleSupélec and has a deep background in ML, having led the research team at Mindee (YC W21), published several papers, and become one of the top PyTorch contributors. Beyond AI, FG specializes in large-scale engineering systems - he built and deployed a ground-based wildfire detection network across Europe, and South America starting with a Raspberry Pi, a camera and his laptop.


