Read our operating thesis — Machines work better in tandem

Trust & Security

Autonomy is only deployable when it is governable. Authority, evidence and control are properties of the system — not promises around it.

01

Authority model

Agents act only within granted authority. Boundaries are set before execution begins and enforced at runtime — not reviewed after the fact.

—  Scoped permissions per agent, per tool, per objective—  Approval gates on actions above the authority line—  Authority revocable by an operator at any time
02

Evidence & audit

Every action leaves a record: which actor, at what time, on what basis. Trust is something you can inspect, not something you are asked for.

—  Complete evidence trail for every run—  Decisions and exceptions attributed to their actor—  Audit records exportable for review
03

Data boundaries

Your data stays under your control. Connections are yours to grant, scope and revoke — access follows the objective, never the other way around.

—  Customer-controlled tool and data connections—  Least-privilege access, scoped to each objective—  Customer data is not used to train models
04

Human control

People can pause, intervene or take over at any point in execution. The system is designed to hand control back — cleanly, with full context.

—  Pause and stop controls on every running objective—  Exceptions routed to a person, with the evidence attached—  Operator overrides recorded like any other action

The authority boundary

One line, drawn in advance, decides what machines do alone and what reaches a person.

HUMANAGENT 01AGENT 02AGENT 03HUMAN DECIDESAUTHORITY BOUNDARYAGENT ASKSESCALATION PATHAGENT ACTSWITHIN GRANTED AUTHORITY

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Deployment, data handling and review documentation are available to prospective customers on request.

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