SYS / Command Deck
One operator. Many systems.
The Command Deck is Kognilith's operator workspace, built to aerospace-instrumentation standards in void black and horizon cyan, a live view of what the autonomy is doing, proof of outcomes, and human override at every step.
SYS / World model view
The live semantic map
Every asset, zone, hazard, and mission as intelligent objects, click anything to see its relationships, state, and history. Not a dashboard rendering telemetry, but a window into the world model itself.
SYS / Mission board & rehearsal
Mission board
Plan against capabilities, not vendors. Watch the platform assign, execute, and hand off tasks across heterogeneous assets in real time.
Rehearsal theater
Simulated mission outcomes with confidence scores before approval, see the thousand futures before choosing one. The approval record shows exactly what was proven.
SYS / Command in plain language
Say what you want done
“Survey the north array for thermal faults before dark.” The deck resolves that against the ontology, not against a keyword list, and shows you what it understood before it acts: which zone, which capability, which assets qualify, and what it ignored.
Grounded in the world model rather than a language model, so it runs air-gapped and answers the same way twice. Ask it a question and it queries the graph; give it an order and it drafts a mission for you to approve.
SYS / Evidence, not assertion
A record that survives scrutiny
Every decision is hashed over its own content and its predecessor, so the audit trail is a chain: alter one entry and every entry after it stops verifying. Periodic signed anchors make that check something you run, not something you trust us about.
Separated duties on top of it. A planner plans, an approver launches, a compliance officer writes the rules and can do neither, and the critical calls need two people who are not the same person.
SYS / Oversight surfaces
Fleet & health panel
Per-asset status, degradation forecasts, utilization economics, and maintenance scheduling across the whole mixed fleet.
Integrity monitor
Sensor-consistency and spoofing alerts rendered in threat coral, the world model's trust in its own inputs, made visible. Coral appears only for hazards, threats, and degraded states, so when it appears, it means something.
Decision audit
Every autonomous action with its full reasoning chain through the ontology, the record that makes autonomy deployable.
Agent roster
Every reasoning agent, what it is for, how much it has decided, and what it did last, with the hand-offs between them on real missions. The multi-agent layer stops being an architecture diagram.
Environment
Terrain, wind, and visibility as things the fleet reasons with rather than reports. An altitude becomes a clearance above real ground, and tonight's wind becomes a reason a sortie waits.
SYS / Design principle
Every workspace is built around trust in autonomy.
A live view of what the AI is doing, nothing hidden, nothing summarized away.
Proof and evidence of outcomes, rehearsed in simulation, audited in execution.
Human override, operator-defined approval rules on every autonomous decision.