Manta AI-Enabled Sense
One Confident Track Picture
Manta Operator Assist is a lightweight, automated tracking system designed to reduce operator workload and streamline detect-and-track tasks in complex airspace.
AI-Enabled Sense Capabilities
Built around machine-learning detection, multi-object tracking and intelligent camera control, Manta follows selected targets and keeps continuous visual custody, with a human in the loop for positive identification and engagement decisions.
Smart detection pipelines
Automatically identifies objects of interest using ML-driven visual detection optimized for autonomous UAS and low-contrast targets.
Multi-object tracking
Maintains stable custody of multiple targets simultaneously with a tracker designed for swarm and high-velocity engagements.
Smart cued search
Performs automated scanning and target reacquisition when radar or C2 cues are unavailable, enabling stand-alone visual detection.
Built for the Human Decision
Manta appears in Zeus Point Defense C2 as a native interface layer, with consistent controls, overlays, alerts and situational context. Automation reduces cognitive load; identification and every engagement stay with the operator.
- Group UAS2.4 kmTracked
- Group UAS2.4 kmTracked
- Status
- Ready
- Power
- Generator
- Heading
- 000°
- Engage
- Operator authorized
0 of 2 groups defeated
Take the operator's seat: select a track, then fire.
Over a Live Airfield
AI-Enabled Sense in the field
Manta fuses EO/IR sensor inputs with radar cues when available, holding one continuous track picture over a working airfield.
The Rest of Point Defense
Leonidas HPM
The center of the architecture: many drones defeated at once, from a deep electronic magazine.
Kosmos Simulation
Simulation and mission planning: model, rehearse and review every engagement.
Epirus Point Defense
The products working as one: plan, sense, decide and defeat, configured for the site it protects.
Build a Clearer Air-Domain Picture
Tell us what has to be protected. Our team will walk through the threat picture and how AI-enabled sensing fits your point defense architecture.