Turn your private knowledge into AI agents you can trust
Governed agents, permission-aware knowledge, and automation — multi-tenant, self-hostable and model-agnostic. Built for CTOs, IT teams and enterprises.
Built for regulated, data-sensitive teams across
Everything an enterprise AI stack needs
One governed platform — from source-cited chat to autonomous agents and production automation.
Permission-aware RAG
Cited answers grounded only in data each user is allowed to see. Retrieval enforces tenant + entitlement isolation at the source.
Governed AI agents
Multi-step agents with a granted-tools-only registry, guardrails, and durable memory — every tool call logged and attributable.
Visual workflows
Branches, loops, human-in-the-loop approvals, retries and cron scheduling on a drag-and-drop canvas — AI is a first-class node.
12+ connectors
Gmail, Slack, Teams, Salesforce, HubSpot, Jira, SAP, Google Drive, OneDrive, SharePoint and more — behind an encrypted credential vault.
Enterprise security
SSO (OIDC) + SCIM provisioning, RBAC, immutable audit, usage metering, quotas and rate limiting — secure and auditable by default.
Open & model-agnostic
OpenAI, Anthropic or local models behind clean interfaces. Multi-tenant from line one, self-hostable, no vendor lock-in.
The controls large buyers require — built in
Secure and auditable from line one, not bolted on. Every control below exists in the platform today.
Row-level tenant isolation
Every query is scoped to the caller's tenant at the source — data from one organization can never reach another.
Encrypted credential vault
Connector secrets and OAuth tokens are encrypted at rest with Fernet and are never returned to the browser.
RBAC + immutable audit
Role-based permissions on every action, with an append-only audit trail attributing each event to a user and tenant.
SSO (OIDC) + SCIM
Bring your own identity provider for single sign-on, with SCIM provisioning to automate joiner–mover–leaver lifecycle.
Permission-aware retrieval
RAG answers are grounded only in documents the asking user is entitled to see — entitlements enforced during retrieval, not after.
Quotas, metering & rate limits
Per-tenant usage metering and quotas keep spend predictable and protect the platform from noisy-neighbour load.
Architecture designed to support
What teams get out of it
The permission-aware answers meant we could open AI to the whole company without a data-leak review for every team.
We moved three manual back-office workflows onto governed agents in a week, with a full audit trail our compliance team accepted.
Self-hosting on our own infrastructure was the deciding factor — our data never leaves our environment.
Ready to build?
Create your workspace in seconds — connect your data, get cited answers, and ship your first automation today.