Cognitive Environmental Reconnaissance & Edge-Based Real-Time Observatory, AI middleware that turns fused sensor streams into live understanding of the environment, right where the sensors are.
Sensors collect. Cerebro comprehends.
Modern sites drown in sensor data nobody can watch. CEREBRO sits between the sensors and the people, fusing every stream into one machine-understood picture, and speaking up only when something in the environment doesn’t belong.
Sensor-agnostic in, decision-ready out. CEREBRO ingests whatever the platform carries and produces detections, tracks, and anomaly alerts in real time.
When darkness, haze, or backlight blind the optical channel, CEREBRO keeps tracking on thermal signatures and rotor acoustics, cross-checking every modality so one sensor’s blind spot never becomes yours.
Cameras, thermal, acoustic, or feeds we haven’t met yet, a modular ingestion layer means new modalities plug in without a rebuild.
Optimized for embedded GPUs, CEREBRO runs entirely on-device, no cloud round-trip, no bandwidth dependency, no single point of failure.
Detection to alert in milliseconds, because airspace incidents don’t wait for batch jobs.
Beyond known object classes, CEREBRO models the environment itself, so the unexpected gets flagged even when it’s never been seen before.
Models are trained and stress-tested in high-fidelity simulation before touching the field, multiplying the scenarios they’ve already survived.
CEREBRO ships today as the brain of OculiSupra, and deploys to any platform with compatible edge compute.
CEREBRO running against a high-fidelity simulated environment, detecting and tracking small UAS through cluttered, low-contrast scenes before the same models deploy to real hardware.
CEREBRO is the intelligence layer between our hardware and our planning application, and it plays just as well with yours.
Bring your sensors and your hardest scenes, we’ll show you CEREBRO comprehending them in real time.
