Passive material signature
Separate drones from the natural background.
Distinguish a manufactured aerial object from birds, balloons and airborne debris through complementary optical inputs.
Optical counter-UAS intelligence
CATZ AI is building a new optical sensing layer that detects, confirms and classifies drones, even when RF-based systems have nothing to hear.
The mission
Small autonomous drones are becoming quieter, faster and harder to identify. CATZ AI combines physics-based optical sensing with embedded intelligence so operators can move from an uncertain object to a decision-ready track.
A unique hardware advantage
Threats are identified at the hardware level before AI confirms and classifies each target.
Passive material signature
Distinguish a manufactured aerial object from birds, balloons and airborne debris through complementary optical inputs.
Eye-safe Cat’s-Eye pulse
Reveal camera and optical sight systems to help identify reconnaissance and FPV attack profiles.
Embedded AI fusion
Fuse optical streams in real time and deliver alert-ready output for integration with C2 and control-room systems.
Target specifications
Designed for fast, alert-ready output across short and long-range threat profiles.
One sensing layer. Multiple missions.
Passive operation, hardware-level confirmation and open integration create a common capability across defense and civilian environments.
Defense & government
Critical infrastructure
Airports
Events & public safety
Early adopter program
CATZ AI is at TRL 3. We are building a focused cohort of partners to turn validated sensing bricks into an integrated field capability.
Technical exchange
Share the operating environment and capability you are evaluating. We will follow up directly.