Pano AI

Wildfire detection from pan-tilt-zoom cameras, satellite data and AI, with human verification before alerts go out.

WildfireSan Francisco, United StatesFounded 2017

Pano AI builds wildfire detection and situational-awareness systems combining high-definition pan-tilt-zoom cameras, satellite data, and AI-based smoke and heat detection. A 24/7 intelligence center handles human verification before alerts are passed to first responders. Customers include US utilities, forestry operators, and federal, state, and local fire agencies across the US, Canada, and Australia.

What Boreal Tech Brief reported

  1. #06315 Sep 2026 · Customer

    ForestrySA switches on a fire camera above the Adelaide Hills

    The eight already up on the Limestone Coast watch commercial plantation. This one, on a tower at Mount Crawford, covers country where stands run into housing, the first time the state has put one there. Pano AI's kit feeds ultra-high-definition panoramic views into automatic detection, satellite data and a human check before an alert goes out. The existing network caught close to 90 unplanned blazes over three seasons, by the operators' count. The agency bought one.

  2. #04519 May 2026 · Customer

    Western Utilities Stack Hundreds of Pano AI Cameras Ahead of Fire Season

    Arizona Public Service runs nearly 40 active Pano AI cameras (71 by summer); Xcel Energy has 126 in Colorado and aims for cameras in seven of the eight states it serves by year-end; California's ALERTCalifornia network sits at around 1,240. Pano says its tech detected 725 US wildfires last year; an APS meteorologist puts time-to-alert at roughly 45 minutes ahead of the first 911 call. Pricing is around $50,000 per camera per year. False alarms still consume staff time, and detection is where the AI stops: whether to dispatch, evacuate or hold still sits with people.