01
Real systems, not a sandbox
Multi-step work executed against the systems of record the mission already runs on. A demo that only touches a copy has proved nothing.
Cortex / Layer 02
Agents that execute, under an authority you named.
Where multi-step work is built, bounded and run — against real systems of record, with approvals, escalation paths and hard stops declared before the first run rather than documented after it.
- Control
- Human-in-the-loop
- Integration
- Existing systems of record
- Posture
- In-boundary inference
What it delivers
Agentic workflows
Frontier model deployment
Guardrailed generation
Human-in-the-loop control
How it works
Agent Studio, in four parts.
02
Authority is configuration
Approvals, escalation paths and hard stops are declared before the first run and enforced by the platform, not left to convention.
03
Consequence requires a human
The boundary between what an agent may do and what a person must authorise is enforced in the system rather than described in a policy.
04
Every action is attributable
Each step traces to its inputs and to the approval that permitted it, long after the run.
What it produces
Evidence, as a by-product of running.
Action log
Approval record
Escalation trail
Exception report
Bring us the workflow that has not survived review.
We will walk through how it would run, what evidence it would produce, and what it would take to field it.
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Corteq is the AI-native platform company for missions that cannot fail. We design, deploy, and secure governed systems that move national security, healthcare, and critical infrastructure from pilot to production.
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