Observability

Point Mantis at whatever your fleet produces. The ingest layer accepts every common telemetry format — autopilot flash logs, MAVLink streams, hobby-grade blackboxes, and proprietary vendor records — with no manual pre-processing.

+ long tail of OEM formats — new parsers added without changing anything downstream.

Every vendor logs differently — different field names, units, rates, and coordinate frames. Normalize collapses those disparate schemas into one canonical, well-understood IMU model, then enriches it with the manufacturer-specific sensor measurements that only that airframe reports.

With one clean schema, every flight can be reconciled against the full context it happened in. Analyze scores each record across every dimension at once — not in isolation, but correlated, so a battery sag on a cold, windy day flown on a new firmware build is understood as one story.

Findings become actions. Execute turns each analyzed signal into a concrete decision — a flagged component, a grounded airframe, a drafted work order — always with an operator in the loop and a full, append-only audit trail behind every call.

The optimize channel is where the loop closes. A single analyzed fleet fans out into many autonomous, agentic workflows — each one continuously working a different corner of sustainment, from the wrench turn to the supplier that makes the part.