Give autonomous agents the oversight autonomy requires

An agent that takes autonomous, multi-step actions can fail in ways that are harder to detect and more consequential than a single incorrect prediction — incorrect tool calls, unintended actions, runaway execution loops. Agent Ops provides the monitoring and guardrails to run agentic systems safely in production.

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What keeps agent behavior inside defined boundaries

Monitoring & guardrails

Continuous monitoring of agent actions, tool calls, and decision paths, with guardrail enforcement to keep behavior within defined operational boundaries.

Escalation & auditability

Human-in-the-loop escalation for actions above a defined risk threshold, with auditing and logging of agent decisions and tool usage for accountability and troubleshooting.

Versioning & incident response

Versioning and controlled rollout of agent prompt and workflow changes, with incident response for agent failures, including root-cause analysis and containment.

The work of running agents safely, day to day

01
Monitor & enforce

Continuous monitoring of agent actions, tool calls, and decision paths, with guardrail enforcement to keep behavior within defined operational boundaries.

02
Escalate

Human-in-the-loop escalation processes for actions above a defined risk threshold.

03
Audit

Auditing and logging of agent decisions and tool usage for accountability and troubleshooting.

04
Version & roll out

Versioning and controlled rollout of agent prompt and workflow changes.

05
Respond

Incident response for agent failures, including root-cause analysis and containment.

What safe autonomy looks like in practice

Behavior stays in bounds

Agentic systems that operate within defined boundaries, with unsafe actions caught before completion.

Full auditability

Auditable records of agent decisions and actions.

Faster containment

Faster containment and resolution when agent behavior deviates from expectations.

Controlled rollout

Controlled, tested rollout of changes to agent behavior over time.

The technology behind the transformation

Frequently asked questions

How fast can you start?

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No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.

Can the work be co-authored or made public?

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No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.

How do you handle confidentiality and data?

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No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.

Do you run the actual training?

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No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.