Platform
Everything an agent needs to be trusted with real work
The landing page shows four things. This is all of it — the runtime, the governance spine, the observability layer, and the controls a security team will ask about before any of it goes near production.
01
Runtime
Where agents actually run, and what happens when they do not run cleanly.
Model-agnostic execution
Run against any supported provider, or against a model hosted in your own tenancy. The runtime adapts to what each provider can do rather than assuming they are interchangeable.
Deterministic replay
Every run stores its resolved context, model, temperature and seed. Replay a failed run exactly as it happened, or re-run it against a different model to see whether the failure was the prompt or the provider.
Durable steps
Long-running agents survive process restarts and deploys. A run interrupted at step forty resumes at step forty, not at the beginning.
Concurrency and rate control
Per-tenant, per-tool and per-provider limits with fair queuing, so one runaway agent cannot exhaust a shared quota for everyone else.
02
Governance
The part that decides whether an action is allowed to happen at all.
Policy as configuration
Approval rules written against blast radius — reversibility, records touched, environment, ownership — rather than against action names. Version-controlled, reviewable, and testable before they ship.
Scoped, expiring credentials
Credentials are issued per run, limited to the specific resources that run needs, and expire on completion. No standing grants for non-human identities.
Human approval, without the fatigue
Identical actions already approved inside a configurable window pass automatically. The gate asks once a day, not twenty-four times, and the trail still records every run against its authorising approval.
Refusal logging
Everything the agent tried and was prevented from doing is recorded alongside what it did. This is where your policy and the model's judgement disagree, and one of them is usually worth fixing.
03
Observability
Answering what the agent believed, not just what it executed.
Decision-level tracing
Spans cover the seams — which tool was selected and why, what the retrieval returned, how a tool result was interpreted — rather than only the HTTP calls underneath them.
Full context capture
The resolved prompt after interpolation, retrieval and memory injection, stored next to the response. The only artefact that makes a failed run reproducible.
Cost and latency attribution
Spend broken down by agent, run, step and model, so an expensive workload is traceable to the specific step that made it expensive.
Drift alerts
Alert on outcome distributions rather than error rates. An agent that stops failing and starts being subtly wrong does not raise an exception.
04
Security & compliance
What the review board asks for, answered before they ask.
Tamper-evident audit trail
Append-only, hash-chained, exportable, and legible to someone who does not work in your product. Written for the room where the run has to be explained.
SSO, SCIM and RBAC
SAML and OIDC single sign-on, directory-synced provisioning, and role-based access down to individual agents and environments.
Data residency
Pin processing and storage to a region, or run the execution plane in your own account with the control plane hosted.
Configurable retention
Retention windows per workspace with a hard floor, explicit legal hold that suspends deletion, and a surviving record of anything deleted on schedule.
Give the queue to the agents.
Connect one system, run a week in shadow mode, and look at the numbers. If they don't move, you've lost an afternoon.
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