Services
Enterprise knowledge mesh
One question surface across the wikis, drives and trackers a company already has, answering with citations.
What this service does and how it is delivered. For work already shipped, see the case studies.
The problem
Institutional knowledge is spread across four tools and the people who remember where it is. New staff ask a colleague instead of searching, and the answer they get depends on who they asked.
How it runs
Starts with: A natural-language question from an employee or a customer.
- Connect the knowledge sources and inherit their permission model
- Index with hybrid retrieval across dense and sparse signals
- Rerank candidates before they reach the model
- Verify the answer against the asker's role permissions
- Return the answer with the sources it came from
What you get
Cross-source retrieval
One query surface over wikis, drives, trackers and internal documentation.
Role-scoped answers
Retrieval bounded by the asker's existing permissions, so access rules are not quietly bypassed.
Mandatory citations
Every answer carries its sources, so a reader can check it rather than trust it.
Freshness handling
Re-indexing as source documents change, so answers do not drift from the record.
Connects to
Worth knowing
Citations exist so an answer can be verified. Retrieval grounding reduces unsupported answers; it does not eliminate them, and this system is not presented as incapable of being wrong.
Run this in your business?
Tell us the process you want automated and we will show you how it runs as agents.
Request early access