Prototype platform combining radar and camera sensor fusion, governed autonomous mobility and audit-ready AI engineering for demanding environments.
A prototype platform combining radar and camera sensor fusion with governed autonomous mobility and audit-ready AI engineering — designed for demanding field conditions where evidence and accountability matter as much as performance.
Developed as a prototype and demonstrator, the platform is being tested with iterative hardening and integration validation. The focus is on situational awareness, secure engineering and governed autonomy through modular platform architecture.
The platform is designed for demanding contexts where evidence, safety constraints and secure operations matter at least as much as autonomy performance — built for reviewability from the start.
A master node coordinates specialised agents for modular processing, tasking and scaling across sensors, compute nodes and mobility functions.
Radar plus high-performance camera fusion improves confidence, reduces false positives and strengthens detection quality in complex, contested environments.
Autonomous movement is constrained by policy-defined rules, with human oversight built into architecture rather than bolted on — geofencing, escalation and alert logic included by design.
Automatic evidence trails, structured logs and reviewable outputs support oversight, accountability and post-event analysis across all AI-assisted decision points.
Master node plus specialised agent architecture supports rapid reconfiguration, graceful degradation and resilience in GNSS-challenged and communications-constrained environments.
The platform is in iterative testing, with progressive hardening and integration validation. Each test cycle produces structured evidence and regression data — audit-ready from first prototype, not as a retrofit.
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