Scope every request
Evaluate identity, group membership, source permissions, and policy context before returning AI-assisted answers.
Building the control layer for AI and internal data
Access-aware AI for company data.
Kedai helps companies safely connect AI to internal knowledge, systems, and data without losing control over who can see what.
AI adoption is moving faster than access governance.
Companies want employees to use AI with internal data, but traditional permissions, audit trails, and data boundaries were not built for AI-generated answers.
Designed for control, not lock-in.
Kedai sits between AI-enabled applications and company data sources, applying access context before sensitive information reaches the user.
Respect existing controls
Start from the permissions companies already have, then make them usable for AI workflows and data access decisions.
Trace what happened
Record who asked, what was accessed, and which controls were applied without turning Kedai into another data warehouse.
Built for the messy middle between AI and enterprise data.
Kedai is for teams that want AI-enabled workflows without bypassing identity, source permissions, and audit requirements.
- AI assistants for internal data
- Data access governance
- Audit trails for AI-generated answers
- Permission-aware analytics workflows
Private preview coming soon.
We are looking for teams exploring secure AI access to internal data.