Autonomous decision-making for satellite operations.
The control plane that decides and acts when systems drift from plan. Reasons under uncertainty. Executes across vendors. Escalates only when required.
Modern satellite operations fail at scale because judgment does not scale.
Locus replaces ad-hoc human triage with a system that is consistent, explainable, and bounded by operator intent.
"Given everything we know right now, what should happen next?"
It evaluates competing actions.
It accounts for risk, history, and uncertainty.
It executes the best option — or refuses to act.
Locus is not a dashboard.
It does not visualize telemetry.
It does not schedule tasks.
It does not encode static workflows.
It does not recommend actions and walk away.
Those systems already exist.
They avoid responsibility.
Operators specify boundaries — safety, cost, trust, authority. Locus reasons inside those boundaries and decides what to do.
Rules describe what to do.
Constraints describe what must not be violated.
Rules break under novelty.
Constraints scale under uncertainty.
Locus operates strictly within operator-defined constraints and chooses actions dynamically as reality changes.
Locus is autonomous by default — not absolute.
It acts independently when confidence is sufficient.
It escalates when uncertainty rises.
It explains every decision it makes.
Escalation is not failure.
It is a deliberate control boundary.
It executes decisions directly across ground networks and cloud infrastructure.
It retries, reroutes, defers, or halts actions based on current conditions.
It records outcomes and incorporates them into future decisions.
Every action is intentional.
Every action is attributable.
Memory is not a log.
Past decisions.
Past failures.
Operator overrides.
Infrastructure behavior.
Judgment improves because experience accumulates.
Above execution systems. Below human authority.
It does not replace mission control.
It replaces manual judgment loops scattered across tools, people, and spreadsheets.
Satellite systems scaled.
Operations did not.
Decision volume increases non-linearly.
Human attention does not.
At scale, the absence of a decision layer becomes the primary failure mode.
Locus exists because this gap cannot be closed manually.
Locus operating a simulated constellation in real time.
Nothing here is a recommendation.
Everything here is owned.
Interactive demo requires a larger screen.
Please visit on desktop to view the live simulation.
Locus runs as a continuous decision loop. At each step, it evaluates the current state of the constellation and decides whether an operational action is required.
After ranking options, Locus evaluates confidence based on data freshness, recent behavior, and novelty. If one action clearly dominates, it executes. Otherwise, it escalates to human authority.
Rules specify actions. Constraints specify boundaries. Locus operates within constraints, selecting the best action for current conditions.
The live demo shows Locus operating a simulated satellite constellation in real time, making and executing decisions autonomously.
Operations are becoming too complex to be managed reactively.
Systems that matter require software that can decide responsibly.
Locus is that layer.