Nexma InsightEngine
Production-grade computer vision for overhead imagery, full-motion video, and live sensors. Detect and classify stationary and moving objects with high accuracy, track each one across frames, and write every result straight into the world model.
Stationary + Moving Object Detection
AI-powered computer vision for superior object detection. Point Nexma InsightEngine at any overhead or motion feed — it detects and classifies every object with high accuracy, locks a track onto each one, and follows it across frames, turning raw video into typed, trackable entities written straight to the world model.
Legacy Challenges
Imagery, video, and sensor streams arrive faster than any team can watch them. Detections live in separate tools, lose their spatial context, and never become part of the world model operators actually use.
Analysts can't manually review every frame of overhead and motion imagery, so events are missed and backlogs grow.
Core Capabilities
Nexma InsightEngine turns imagery, video, and sensor streams into typed detections fused onto one live map and written into the world model.
Vision models detect and classify objects — vehicles, vessels, aircraft, infrastructure — across overhead and full-motion imagery at scale.
Product Benefits
Automate detection across every feed, fuse the results into one picture, and ground them in the world model so they drive action.
Models watch imagery and video continuously, so events surface automatically instead of waiting in an analyst's backlog.
Detections from every sensor land on the same map, deduplicated and georeferenced, so teams reason from one shared truth.
Because results live in the world model, a detection can launch an agentic workflow — alert, task, or dispatch — automatically.
Feature Details
Nexma InsightEngine detects, tracks, and fuses across modalities, writing typed results into the world model.
Detect and classify objects across EO, SAR, and full-motion video with production vision models.
Surface new construction, movement, and encroachment by comparing imagery over time.
Work across overhead and motion imagery and ground sensors within one engine.
Related Products
One platform for all spatial data and workloads, from design to field operations.
FAQ
It is the perception layer of the platform. It detects, classifies, and tracks objects across overhead imagery, full-motion video, and live sensors, fuses them onto one operational picture, and writes the results into the world model.
Electro-optical and SAR imagery, full-motion video, and ground sensor streams — handled within one engine and fused into a single georeferenced picture.
It's written into the DataStore as a typed entity with confidence and provenance, so it becomes part of the world model — able to trigger an agentic workflow rather than sitting in a viewer.
The engine maintains object identity across frames and passes and persists tracks in the DataBase, so objects are followed through time instead of re-detected as new each pass.