Rimward

What we're building

Rimward is building the decision layer for physical security.

We start with remote outdoor sites such as utility-scale solar, where recurring intrusion, false alarms, and limited on-site presence make existing monitoring hard to operate well. Most serious sites already have cameras, procedures, and supervision teams. The missing piece is reliable signal.

Our goal is to turn existing camera networks into operator-ready alerts: fewer false positives, faster video verification, better evidence, and a tighter path from detection to response.

How we work

We care about field reality more than demo quality.

That means working on products that respect messy deployments: mixed camera quality, outdoor conditions, patchy connectivity, constrained infrastructure, and real operator workflows. We are opinionated, hands-on, and demanding about usefulness. A system that looks impressive but does not help someone make a better decision is not good enough.

We work in person in Paris while we sharpen product-market fit.

Rimward sits at the intersection of computer vision, video systems, edge inference, and operator workflow design.

The core technical challenge is not just detecting events in video. It is producing signal that stays useful under real deployment constraints: outdoor scenes, variable lighting, weather, noisy backgrounds, uneven camera quality, and low-connectivity environments. Low false positives matter because the product only works if operators keep trusting the alerts.

Our stack is pragmatic and software-heavy: Python for backend and ML, modern video/data pipelines, and lightweight product surfaces for alert review and operations. We work across model performance, deployment, evidence generation, and infrastructure that can run both in the cloud and close to the site when needed.