percipient.ai

Founded 2017

Analyze unstructured visual and multimedia intelligence data to identify critical operational patterns

You can use Mirage to examine vast volumes of visual data and intelligence feeds in real time. The system ingests unstructured multimedia files, including video and imagery gathered from ground, air, and space sensors. Analysts use it to identify hidden relationships, detect spatial patterns, and assess potential operational threats. Instead of manually sifting through hours of surveillance footage or static photos, you can quickly locate critical activity, evaluate mission risks, and share actionable findings with command teams during defense and security operations.

What percipient.ai does

Filter large batches of aerial reconnaissance imageryTag recurring objects detected across multiple video streamsTrace movement patterns over specific geographic coordinatesGenerate intelligence reports on recognized aerial targetsCompare historical surveillance frames against current visual feedsFlag anomalous activity identified in full-motion video feedsProcesses sensor data collected from ground, airborne, and satellite platformsScans unstructured video and photographic feeds faster than real timeIdentifies visual patterns and correlations across multi-source intelligenceAdapts analysis workflows to improve recognition accuracy over timeFlags emerging relationships across disparate surveillance datasetsCombines machine learning detection with manual analyst review workflows