The customer provides the sensors and effectors. Varindor detects, tracks, classifies, and coordinates the response — from a single hostile platform to an adaptive swarm. Layered defence under ROE, with full audit trail.
Multi-sensor fusion from the customer's radar, EO/IR, RF detection, and other sensor systems. Tracks are correlated across sensors into a single coherent picture of the hostile UAS environment.
Hostile UAS platforms are classified by type, capability, and behaviour. The platform distinguishes between reconnaissance, strike, and saturation threats — informing the appropriate level of response.
The cognitive engine assesses whether multiple hostile platforms represent a coordinated swarm, a diversionary action masking a larger threat, or independent activity. The assessment is validated against the live physics environment — are the reported tracks consistent with the EM and acoustic conditions?
The World Model's volumetric fields inform engagement geometry — EM coverage, acoustic detection envelopes, terrain shadows. Counter-UAS assets are routed through corridors that avoid detection while reaching intercept positions. The routing accounts for all threat fields simultaneously.
When authorised, the platform coordinates autonomous counter-UAS platforms against hostile swarms — task allocation, engagement sequencing, and attrition tracking. The cognitive engine adapts the response as the swarm adapts its tactics. The commander sets the rules. The platform executes at tempo.
Post-engagement assessment tracks which threats were neutralised, which persist, and whether re-engagement is needed. Engagement effectiveness is recorded for after-action review.
Run simulated counter-UAS scenarios with physics-accurate drone behaviour — from single reconnaissance platforms to adaptive swarms that probe defences and exploit gaps. Train operators and test response procedures on the same platform used in operations.