Drones & Robotics

Autonomous platforms operate in unpredictable environments. When sensors degrade mid-mission, confidence drops without warning, and incident records are incomplete — operators lose trust and regulators lose patience.

confidence thresholdPASSSIGNAL HEALTH — PHASE-TIME ANALYSIS
Sensor Confidence Active
SignalComputeAI OutputAuditIncidentSettlement85%AVG CONFIDENCE

A Drone That Doesn't Know It's Flying Blind

  • Sensor degradation mid-mission goes undetected until it causes failures
  • Confidence drops happen silently — the platform keeps operating with degraded sensing
  • Incident records are incomplete, making post-mission analysis unreliable
  • Regulators require proof of sensing capability — not just flight logs

Confidence-Aware Autonomous Operations

  • GapGuard: real-time sensor confidence — detect degradation before it causes mission failure
  • Safety Gateway: confidence-governed mission decisions — abort, reroute, or continue based on input quality
  • ProofCarry: tamper-proof flight telemetry for regulatory compliance and post-incident analysis
  • Guidance System: trajectory verification via kinematic consistency — catch GPS spoofing and navigation drift

Autonomy Metrics

Sensor Confidence0%
Mission Readiness0%
Incident Readiness0%

End-to-End Mission Verification

GapGuard monitors sensor health in real-time throughout the mission. When confidence drops below safety thresholds, Safety Gateway triggers appropriate responses — hold position, return to base, or alert operator. Every sensor reading, every decision, every trajectory adjustment is attested by ProofCarry. Post-mission, the complete chain is available for analysis and regulatory reporting.