Enterprise Knowledge Base
Turn scattered documents into an AI-searchable knowledge base
We turn knowledge scattered across documents, wikis and chat logs into a structured knowledge base with semantic search and Q&A, deployable in the cloud or on your own infrastructure.
Pain points
- Experience walks out the door when staff leave, and onboarding is slow
- Documents are too scattered — keyword search still can't find the answer
- Data is sensitive and can't be uploaded to a public cloud service
How we work
Data mapping
Inventory document sources, formats and sensitivity; design the retrieval structure
Build
Build the vector index and Q&A interface; integrate with internal systems or IM
Deploy & train
Deploy to cloud or on-prem; train the team and hand over documentation
Deliverables
- A searchable Q&A knowledge base system
- A data ingestion and update pipeline
- Deployment and ops documentation
Packages & timeline
Standard
Contact for pricing
Quoted on request
- Cloud deployment
- Semantic search + Q&A API
On-prem
Contact for pricing
Quoted on request
- Deployed in your environment, data stays in your network
- Custom access control and audit logging
FAQ
Will you sign an NDA? Does knowledge-base data leave our network?
Yes, we sign an NDA. An on-prem knowledge base keeps data inside your environment with nothing uploaded to a public cloud; cloud plans spell out data flow and storage location clearly.
Is our knowledge-base data secure?
On-prem data always stays inside your own environment, with access control and audit logging; cloud plans use encrypted transport and storage, and we can sign an NDA.
How long is free maintenance after delivery?
Delivery includes a free maintenance period covering defects caused by our code, with the term set in the contract; annual maintenance can follow, and new features or changes from third-party API updates are scoped and quoted separately.