P · 01
RF-only goes blind on autonomous drones.
Pre-programmed flight paths emit no command-link signature. RF-only stacks call them noise — until they're inside the wire.
Detect, track, identify and respond to unauthorized drones through a layered, policy-governed engagement chain. RF, radar, EO/IR and acoustic fused into one airspace picture. Every effect is human-authorized; every engagement leaves an auditable trail.
C-UAS markets are full of point products that do one detection mode well — and miss every other vector. Layered threats, swarms, and operator displacement defeat single-stack defenses inside seconds.
Pre-programmed flight paths emit no command-link signature. RF-only stacks call them noise — until they're inside the wire.
Low-SNR returns at small RCS overlap with avian traffic. Without multi-sensor confirmation, the operator either chases ghosts or ignores threats.
Standalone jammers and spoofers don't know what airspace they're in or what civilian traffic is overhead. Effects fire. Collateral happens.
Engagement happens at machine speed; authorization, if it existed, was implicit. Post-incident, no one can reconstruct the chain.
A composite of recent airport-incursion patterns: a commercial-class drone penetrating a controlled airspace ring during night ops. Operator located, effect applied, incident closed in under nine minutes.
A C-UAS stack is not a sensor purchase. It's a decision chain. The shift is from per-effector consoles and implicit authority to one fused airspace picture under explicit, cited human authorization.
The simulator below renders a CTR-incursion scenario in the operator's view. Click the phase tabs to jump the timeline. Detect, locate the operator, apply a non-kinetic effect.
Performance envelope from controlled airspace and critical-infrastructure deployments. Numbers reflect end-to-end chain — sensor return to authorised effect.
Counter-UAS is one of the cleanest demonstrations of why a fused, governed shell beats a stack of point products. The four MESH OS capabilities map directly onto the engagement chain.
Multi-modal fusion separates Class 1–3 UAS from birds, weather, and ground clutter. Re-ID survives mode handoff and short occlusions.
Command AI selects the effector that the ROE allows for this airspace, this target class, this proximity. It cites the rule. The operator authorizes the specific effect.
Engagement decisions execute in the local node beside the sensors and effectors. Detect-to-track stays under 800ms even when the uplink is degraded.
Models and data stay inside the facility. Airspace overlays, ROE rule sets, and engagement logs never leave the regulatory boundary.
C-UAS is a high-stakes, fast-moving deployment. We integrate with your existing detection layer first, prove the chain end-to-end on dummy targets, then go live one zone at a time.
MESH ingests existing RF, radar, and EO/IR feeds. Re-ID and fusion validated against historical track data and known signatures.
Operator workflow runs against live airspace. Effector tasking simulated against dummy targets. ROE matrix tuned to the site's authorities. Doctrine pack signed off.
Cutover by zone. Effectors come live one at a time, each behind a named operator authority. AAR after every engagement. Authority widens by case.
Run a six-week pilot on one protected airspace. Ingest your existing detection layer, validate the chain end-to-end, prove the delta against your engagement log. We do not replace your effectors — we bring them under one cited, audited decision chain.