Research / Runtime assurance

The work moves.
The evidence stays.

UBIKITOS studies what it takes for autonomous systems to act usefully inside explicit boundaries: runtime assurance, supervisory control, provenance, observability, uncertainty and epistemic limits.

A new generation

R3 is live.
R4 begins.

Live: R3, including R3.9. The WorkMachine's third-generation milestone is here.

In development: R4.17. The Untrusted Output Boundary anchors ongoing native integration: signed authorization, guarded results and recovery. Independent review and formal acceptance remain open.

Explore the release journey ↗

01 / The question

When is action
justified?

The central research question is simple to state and difficult to operationalise: when does the available observation regime fail to justify consequential action—and what should happen then?

UBIKITOS treats a confident answer as a proposal, not a permission slip. The research boundary asks what the system can do, what supports the action, who has authorised it and what changes if the decision is wrong.

02 / Research themes

Five lenses on
governable autonomy.

Runtime assurance

Control while work is moving.

Evaluate and constrain actions at the point where an agent wants to act.

Supervisory control

Escalate with a reason.

Define when a human should approve, review, correct or stop the workflow.

Provenance

Keep grounds attached.

Preserve where evidence came from, when it was observed and what it supports.

Uncertainty

Make limits visible.

Distinguish missing evidence and unknown conditions from low model confidence.

Epistemic limits

Know what cannot be inferred.

Do not let a fluent proposal silently outrun the observation regime around it.

03 / Experimental systems

From ideas
to measured practice.

UBIKITOS develops small, inspectable experiments rather than treating autonomy as a single benchmark. Each experiment makes the boundary explicit, records what happened and asks whether the control was useful enough to keep.

Research standard: a claim should be paired with a trace, a failure mode or a measured before-and-after—not only a more persuasive interface.

04 / Continue

Read the model
in context.

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