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See how Enduvo Analyst finds the moments worth reviewing in real sensor data, and talk with the team about where the same engine could point next.
Enduvo Analyst
One workspace for drone video, LiDAR, and geospatial data, with AI that surfaces the moments worth an analyst's attention. Developed for the US Air Force under a SBIR Phase II program.
An intelligence analyst can spend three hours reviewing footage to produce a single mission report. With Enduvo Analyst it takes fifteen minutes. The AI works through the footage and marks what moved, the analyst decides what it means, and the time shifts from searching to analysis.
A working system, developed and proven with the US Air Force, built on AI that Enduvo owns outright.
An intelligence analyst can spend three hours reviewing footage to produce a single mission report. With Enduvo Analyst it takes fifteen minutes. The AI works through the footage and marks what moved, the analyst decides what it means, and the time shifts from searching to analysis.
A working system, developed and proven with the US Air Force, built on AI that Enduvo owns outright.

An analyst reviewing hours of surveillance footage is hunting for only a few seconds that actually matter. A vehicle that appears once. A change between one pass and the next. The moment something happens. It is there in the footage, and reaching it means working through nearly every scene first, across separate feeds that do not line up in time, space or place.
An analyst reviewing hours of surveillance footage is hunting for only a few seconds that actually matter. A vehicle that appears once. A change between one pass and the next. The moment something happens. It is there in the footage, and reaching it means working through nearly every scene first, across separate feeds that do not line up in time, space or place.
The analyst ends up spending more time hunting for what matters than analyzing it.
What it does
What it does
Bring video, LiDAR, maps, and imagery for a place and a time into a single workspace, each feed placed on the map and lined up on one timeline.
Enduvo's detection models work through the footage, finding and tracking objects and showing how confident they are, so the analyst goes straight to what moved rather than watching every minute. Hours of scrubbing become a guided review.
The analyst tags findings by priority, annotates them in context, and keeps the analysis anchored to where and when it happened.
The workspace turns the analysis into a shareable brief, ready for the people who act on it. And because the same analysis captures what happened and why it mattered, it can carry forward as an after-action review, or become training so the next analyst learns from the last mission.
Why it starts fast
Enduvo Analyst is built to work on the data you already collect, from full-motion video and LiDAR to the sensor and track feeds your operations already produce. It brings those sources into one workspace through direct upload today, and through integration with existing collection systems and data pipelines as programs require.





Finding a few seconds of signal in hours of footage is one of the hardest problems you can hand to AI. An engine that does it reliably is not limited to surveillance. The same capability finds meaningful signal in any large volume of sensor data, a defect moving down a production line, a change in a landscape over weeks, an anomaly in a stream too large to review by hand.
It is the same AI engineering behind Enduvo's platform, proprietary, AI-native by design, and backed by a patent portfolio with priority dates reaching back to 2018.