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For IT leaders
IT and technical leaders

Agents you can audit, pause and own.

AI agents with the governance IT needs: your cloud, your SSO, a signed DPA, an eval suite in CI, full telemetry and a kill-switch on every agent.

In one paragraph

For IT and technical leaders, Agnotiq delivers AI agents that pass a security review: built in your cloud or a sandbox under your review, on your SSO, under your DPA, with an eval suite in CI, a trace on every run and a kill-switch per agent. Code lives in your repository, and your team owns it after handover.

The drag

Where the hours go.

AI arrives as a black box

A hosted tool nobody can inspect, with data flowing somewhere the security team can't see.

Vendor lock-in by default

One provider, one model, one price, and no benchmark to say whether it is still the right choice.

The security review becomes the project

Weeks lost because governance was bolted on after the prototype instead of designed in.

What we build

Agents that take it off your plate.

Your cloud, your repo, your SSO

All work happens in your environment or a sandbox stood up under your review. Code is committed to your repository.

Evals and telemetry in CI

Hundreds of scored cases run on every change and every model swap. A trace schema, dashboards and alerts ship with the agent.

Model routing without lock-in

Workloads benchmarked across frontier and open models, routed at runtime, rebenchmarked quarterly. Your contract is with us.

We treat the security review as the project. Evals are written against synthetic equivalents of your data so we can iterate without exposing it, and every agent ships with canaries, observability and an off-switch.

The handoff is documented from day one: a runbook, the eval suite and the routing config are yours to run without us.

Questions from it leaders.

All work happens in your cloud or a sandbox we stand up under your security review. We sign your DPA, run on your SSO, and write evals against synthetic equivalents of your data so we can iterate without exposing it.

We are model-agnostic by design: frontier and open models are benchmarked per workload, routed between at runtime, and rebenchmarked every quarter.

Everything: the code in your repository, the eval suite, the telemetry and dashboards, the routing configuration and a runbook for the next person to pick it up.

More answers on the FAQ page.
Let's build

Have a workflow that deserves an agent?

Tell us what's eating your team's afternoons. We'll come back inside three days with a discovery plan, a price, and the names of the engineers we'd put on it.