Engine
The agent runtime that runs
inside your perimeter
Is the FactSet feed back?
FactSet healthy since 04:12. Schema check now pinned on fundamentals.fcf_yield.
Engine gives agents identity, tools, compute, and permissions on your infrastructure. Identity flows from your IdP, every action is authorized before it touches data, and each session runs in its own sandbox.
Identity from your IdP
800+ permissioned connectors
Authorized before it acts
Identity-scoped
Agents get only the user's access
Agents sign in through your identity provider, like Okta or Azure AD, and get the same access as the person using them, and nothing more.
- Connectors inherit the caller's permissions at every call.
- Credentials never enter the sandbox; the gateway attaches them.
- Hosted, in your VPC, on-prem, or air-gapped, the model is the same.
Identity, tools, and compute, governed
The runtime an agent needs to do real work, with the controls a security team needs to allow it.
Identity from your IdP
Agents authenticate through Okta or Azure AD and inherit the invoking user's permissions. They see exactly what that person would, and nothing more.
800+ connectors
Reach warehouses, document stores, ticketing, and internal services through permissioned connectors, scoped per tool.
A sandbox per session
Each session runs in its own isolated sandbox with no outbound network except through explicitly scoped tools.
Authorized before it acts
Every action is checked against the principal, the resource, and the policy before it runs. Sensitive actions need explicit approval.
Durable, resumable runs
Long-running work survives a crash or a reload and resumes where it left off, with no lost tokens or orphaned tool calls.
Audit on every action
Who did what, against which resource, under which grant, recorded as an append-only audit trail.
Accountable
Every action is logged and reviewable
What an agent can do is set by its permissions, not by its instructions. Every action is recorded with who ran it, what it was allowed to do, and who approved it.
- An append-only audit answers who did what, and why it was allowed.
- Severity gates hold sends, deletes, and broad sharing for a person.
- Traces stay in your deployment; nothing is sent to Context.
Built for production work.
Run anywhere.
Hosted. Your VPC. Air-gapped. The on-prem Context appliance.
Use any model or agent.
Claude, GPT, Gemini, Kimi, or open weights. Bring your own agent framework, or use ours.
Enterprise-grade authorization.
Identity through your IdP. Customer-managed keys. Audit on every action. Permissions inherited at every connector call.
A complete working environment.
Documents, spreadsheets, decks, kanbans, and file viewers built in. Your team and agents work on the same files in the same environment.
Faster, cheaper, better
Custom models trained on your work
Your team's accepted outputs become training data for models you own and serve, and they beat general-purpose agents on your specific tasks.
Evals gate every change
Rubrics and golden sets validate every runbook, model, and context change against past work before it ships. Regressions are caught automatically.
Step-level model routing
Each step routes to the cheapest model that clears your rubric. Frontier models handle only the genuinely novel, so cost falls without losing quality.
Talk to us.
Bring a workflow your team runs today and see it run in your environment.