Aethix builds AI that is explainable, auditable, and designed for the hardest operational environments on earth.
We fuse electro-optical (camera) and radio-frequency sensing into one explainable picture — and the system abstains when it isn't sure.
Fuses EO video and RF signals into a single shared representation for comparison and matching across sensor modalities.
Resolves and links entities from location, motion, object class, and learned similarity — with human-readable rationale for every match decision.
Low-confidence cases escalate to a human operator rather than forcing a guess — preventing overconfident false alarms in degraded sensor conditions.
Designed to run at the tactical edge, offline-capable, syncing resolved entity state to a command centre when connectivity allows.
// Illustrative architecture — not a representation of a deployed system
We make AI and data pipelines provably compliant — enforcing classification, recording every action, and proving where every output came from.
// Illustrative architecture — not a representation of a deployed system
Designed to classify and tag every record with sensitivity level and origin at creation, ensuring provenance is machine-readable from the point of ingestion.
Designed to enforce access by clearance level and coalition role — with enforcement actions including permit, restrict, downgrade, segregate, or redact per consumer.
Designed as an append-only audit ledger recording every query, denial, and redaction — suitable for accreditation-grade regulatory inspection.
Designed so that every inference output can carry machine-readable lineage metadata — enabling accreditation-grade provenance tracing and exportable evidence packages.
Designed for on-premises or sovereign cloud enclave deployment — no data leaves the boundary, targeting the residency requirements of federal and defence-sector operators.
All ASF capabilities are in designed or planned stage. No production deployment claims are made.