Ground segment · Autonomous AI

The autonomous AI that investigates spacecraft anomalies.

VELA turns a telemetry deviation into a cited root-cause narrative and a drafted recovery procedure — reasoning across the spacecraft's own manuals and knowledge graph1 and showing every step of its work. Runs fully air-gapped.

Cited reasoning End-to-end autonomy Air-gap deployable

Act 01 — Detect

It begins with a deviation.

A channel breaks its own rhythm. Onboard FDIR flags it, or VELA's own detectors catch it over the downlink. Before anything else, the telecommand-response filter removes deviations that simply followed a command2 — so the investigation starts on a real fault, not on noise.

ECOD · graph · onboard-AI · seeded replay

Act 02 — Explain

Traced to a cause. And cited.

A deterministic agent graph walks the anomaly through the spacecraft's knowledge graph, reaching data only across an audited boundary. It writes a root-cause narrative where every claim resolves to a manual section, an FMECA entry, or a graph fact — or it is blocked as UNGROUNDED and never shown as fact.

Telemetry · EPS.BATT.V VELA-REF-1
Warning Root cause found

Battery cell degradation — string 3 undervoltage

Deviation follows no related telecommand; the cell-imbalance signature matches the FMECA degradation mode for the EPS battery.

confidence HIGH 3 citations resolved

Act 03 — Resolve

A cited recovery, ready to run.

VELA drafts the recovery procedure the anomaly calls for — every step validated against the spacecraft's manuals and cited to its source, wrapped in a full audit trail. Your team gets a ready-to-run plan in minutes, not a blank incident doc and a war room.

validated procedure · append-only audit

Grounded, not guessed

Every answer, traced to a source.

Most AI asks you to trust a black box. VELA reasons across the spacecraft's own manuals, FMECA, and knowledge graph and cites every claim it makes — or it says, plainly, that it can't. The traversal, the citation checks, the replay: deterministic and verifiable. That is what makes autonomous AI usable on a real fleet.

Why teams trust it on a live fleet

Built to be believed, not just fast.

Six properties that make an AI safe to put in front of a spacecraft operator.

Cited or blocked3

Every narrative and procedure claim resolves to the spacecraft's own manuals and graph — or it is emitted as UNGROUNDED and held from release. A hallucinated reference is a sev-1.

End-to-end agentic investigation

From the first deviation to a drafted recovery, VELA runs the whole investigation itself — triage, hypothesis, validation, and drafting — as a deterministic agent graph that reaches data only through an audited boundary.

Air-gap & sovereign

Runs fully offline with in-memory stores, or against your own Neo4j and Qdrant. No external calls, no CDN, no data leaving the ground segment.

Standards-universal ingest

Telemetry enters through one swappable source — CCSDS / PUS, XTCE, Yamcs, OpenC3, MQTT, or seeded replay. The reasoning above it never changes.

Deterministic & reproducible

Graph traversal, event forming, and citation checks are deterministic and unit-tested; replay is seeded, so an investigation reproduces exactly — every time.

Predictive, not just reactive

Beyond live faults, VELA projects remaining-useful-life from each component's degradation trend — surfacing the failure that is coming, not only the one that already happened.

Plug into every tier — one swappable telemetry source

CCSDS Space PacketPUS servicesXTCE dictionaries YamcsOpenC3 / COSMOSMQTTAWS Ground Station Onboard-AI eventsSeeded replay

See it investigate

Watch VELA turn a deviation into a cited verdict.

A guided walkthrough on the VELA-REF-1 reference spacecraft — no live mission data required. Run it in your own air-gapped environment.