Enduvo Analyst

AI that finds what matters in hours of footage

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.

Master ClockAbsolute capture time keeps every source aligned while the analyst moves through the workspace.

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.

Hours of footage, seconds that matter

Hours of footage, seconds that matter

Aerial surveillance frame with AI-detected vehicles and pedestrians outlined and labeled with confidence scores.
AI trackingDetections are grouped into an event rail so analysts can move directly to activity worth reviewing.

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

One workspace, from raw feeds to a shareable brief

What it does

One workspace, from raw feeds to a shareable brief

  1. Everything in one view

    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.

  2. Let AI find the objects of interest

    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.

  3. Triage and mark what matters

    The analyst tags findings by priority, annotates them in context, and keeps the analysis anchored to where and when it happened.

  4. Turn it into a brief, or a lesson

    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

Start on your own data

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.

The same engine, pointed at any data

A LiDAR point cloud resolving terrain and structures inside a circular area of interest.Aerial traffic footage with AI detections tracking vehicles through a city corridor.Thermal aerial imagery highlighting structures, vehicles, and terrain features.Two terrain renderings compared side by side in the Analyst workspace.A gridded three-dimensional terrain view with indexed coordinates.
One locationVideo, LiDAR, thermal, and terrain inputs resolve around one location inside the same analysis.

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.

Talk to us

Enduvo Analyst was built for defense, and the capability applies wherever there is more data than people can review—from fire safety and search and rescue to emergency response and critical infrastructure monitoring.

Request a demo

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.

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