The permission layer for your company’s AI memory.
Your company runs a dozen AI agents on its data with almost no access control. Buddhi AI is the one gateway they all pass through, deciding what each person and agent can remember: role-scoped, cited, and logged.
Live access check
Same question, different role
What is the Q3 pricing floor for enterprise deals?
Denied. Outside the contractor role policy, nothing disclosed, and the attempt is logged.
We’re not racing to remember more.
Every other company-memory tool optimizes the same axis: ingest more, recall better. None are built permission-first, so a contractor’s agent can read what a founder’s agent knows.
Buddhi AI is the checkpoint every AI memory request passes through. We decide what each agent is allowed to remember, and we can deny a specific agent a specific memory in real time, cited and logged. You can’t bolt that onto a search engine.
One gateway, every request
Five things happen before any answer leaves Buddhi AI.
Step 1
Identify
Tie every request to a person, their role, and the agent acting on their behalf, before any memory is read.
Step 2
Enforce
Role-based policies decide what can be read or written. The check runs before the model ever sees the payload.
Step 3
Recall
Return only the memory a role is cleared for, pulled from your team’s communication and agent sessions.
Step 4
Redact
Mask secrets, credentials, and PII inline, even inside scopes a role is otherwise allowed to see.
Step 5
Log
Record every read, write, and denial: who asked, what was returned, when, and on whose behalf.
What’s in the product
Everything you need to govern company memory.
A working MVP, live today: access control, cited recall, a policy engine, audit logging, a knowledge graph, conflict resolution, connectors, and a guided onboarding wizard.
Role-based access control
Scope memory to roles: engineering, finance, exec, public. An agent only recalls what its role is cleared for.
Cited memory recall
Every answer carries its source, owner, and freshness, so it’s defensible instead of magical.
Real-time denial
A contractor’s agent asks for a founder-level decision? Denied live, cited and logged. No other memory tool can.
Policy engine
Visual, editable, auditable access rules. No hidden logic, no silent overrides.
Audit logging
Every access, allowed or denied, is logged with timestamp, role, agent, source, and result.
Knowledge graph
See how people, decisions, and sources connect across your company’s shared memory.
Conflict resolution
When two sources disagree, Buddhi AI surfaces the conflict instead of guessing which is true.
Connectors
GitHub, Slack, Google Workspace, and Notion, governed by the same policy and audit layer.
Connectors
Plugs into the tools your team already uses.
Buddhi AI pulls memory from your communication and agent sessions, and every source stays under the same policy and audit layer.
GitHub
Code review context, release notes, and architecture decisions.
Slack
Turn informal team decisions into governed, searchable memory.
Notion
Docs and specs, recalled only by the roles cleared for them.
Google Workspace
Docs and drive context, under the same access controls.
Claude Code
Keep coding agents inside the same policy and audit layer.
CLI / Agent
Direct operations with the same access controls and traceability.
Get early access to Buddhi AI.
We’re onboarding a small group of design-partner teams. Join the waitlist, or book a 15-minute call and we’ll show you a live access denial on your own scopes.