Knowledge ingestion
Connect policies, playbooks, SOPs, implementation guides and approved operational documents.
Enterprise knowledge intelligence
Your company already knows the answer.
KnowledgeOS turns approved internal knowledge into a governed AI answer layer. Employees ask questions in natural language. KnowledgeOS retrieves the evidence first, generates from that evidence, cites the source, and refuses unsupported answers.
How KnowledgeOS answers
01RetrieveFind the most relevant approved knowledge.
02GroundGive the model evidence before it generates.
03AnswerRespond with visible source citations.
04ControlRefuse when the evidence cannot support an answer.
The platform
An answer layer over the knowledge your business already owns.
Evidence-aware retrieval
Rank relevant knowledge before generation instead of asking a model to guess from memory.
Grounded answers
Return concise answers with citations and an explicit unsupported-answer state.
Access boundaries
Production architecture supports organization-aware permissions and row-level access controls.
Admin & evaluation
Production rollout includes re-indexing, retrieval evaluation, auditability and monitoring.
Integration-ready
Expose knowledge through web experiences, internal tools, CRM workflows and approved API integrations.
Use cases
One knowledge layer. Multiple teams.
Employee enablement
Give teams one place to ask HR, policy, process and operational questions with source evidence.
Sales & revenue
Ground reps in approved product, qualification, pricing-process and implementation knowledge.
Customer operations
Help support and success teams retrieve approved procedures before responding to customers.
Implementation teams
Surface requirements, handoff notes, UAT standards and launch procedures without hunting through folders.
Enterprise architecture
Designed around evidence, permissions and operational control.
The current public demonstration uses synthetic knowledge. Enterprise deployments are scoped around the customer's identity model, data boundaries, approved sources, retention requirements, model provider and integration environment.
Server-side model credentials
Permission-aware retrieval design
Source-level evidence returned with answers
Explicit unsupported-answer behavior
Human-controlled source ingestion and re-indexing
Evaluation for retrieval, groundedness, citations and latency
Pilot
Department deployment
Validate priority knowledge, user workflows, answer quality and governance with one defined team.
Enterprise
Multi-team knowledge layer
Expand sources, permissions, integrations and evaluation around your operating environment.
Commercial model
Scoped after discovery
Pricing depends on users, source volume, security requirements, integrations, model usage and deployment scope.
See it with your workflow