Knowledge, as a tool
LiveRead-only RAG the agent calls on demand — retrieval can read but never write.
Architecture
Model-agnostic and deployment-agnostic by design. Swap the model; the governance layer stays.
The product
Read-only RAG the agent calls on demand — retrieval can read but never write.
Internal systems wrapped as scoped tools, gated by policy and confirmation — every call logged.
Repetitive operations become triggerable, auditable nodes — single or multi-step.
Run it in our cloud, your VPC, or fully on-prem — embeddable Widget Studio plus one admin console.
The shared ecosystem
A governed AI-agent ecosystem lets every department share one agent while access is scoped by org, department, role, or individual. Read is governed · Write is permissioned · Everything is logged. Every agent your teams build lives in one governed ecosystem — not scattered across disconnected tools. Build once; every team builds on it.
Build an agent once and share it org-wide — every team builds on the same governed ecosystem.
Each agent's access is scoped from your SSO groups — by domain, department, and role.
Scopes are enforced in the governance layer — between any model and your systems.
Security posture
Permissioned tool-use
Least-privilege per action. The agent gets exactly the scope a policy grants — nothing more.
Confirmation gates
Consequential actions wait behind an explicit approver before anything executes.
Append-only audit trail
Every call, every approver, every timestamp — append-only and readable for diligence.
Read-only knowledge boundary
Retrieval reads; it cannot mutate state. The knowledge boundary is read-only by design.
Data stays in your perimeter
Self-host in your cloud, VPC, or air-gapped — prompts, knowledge, and logs stay in your perimeter.
Your model, your terms
Zero-data-retention endpoints, your own key (BYOK), or open weights you host — you decide where a prompt goes.