Solution · AI knowledge base
An internal AI trained on your company knowledge — contracts, wikis, tickets, past projects. Answers in seconds, with sources.
Overview
Company knowledge lives everywhere: Drive, Notion, Slack threads, PDFs, old proposals. An AI knowledge base makes all of it searchable in natural language, with citations back to the source.
Common problems
Sound familiar?
- 01Onboarding takes weeks because no one knows where docs are
- 02The same questions are answered in Slack every week
- 03Contracts and old proposals are impossible to search
- 04Expertise is stuck in one or two people's heads
What we build
The solution.
- Ingest documents from Drive, Notion, SharePoint, Confluence and more
- A chat interface that answers in your voice, with sources
- Role-based access so people only see what they should
- Self-updating as new documents are added
Outcomes
01
Onboarding time cut in half
02
Fewer repeat questions in Slack
03
Expertise spread across the team
04
Every answer traceable to a source
Questions
Frequently asked.
- Is our data used to train models?
- No. We use hosted models with data-processing agreements — your documents stay yours.
- Which LLM does it use?
- Whichever fits — OpenAI, Anthropic, Mistral, or a self-hosted model when data residency requires it.
- Can it write, not just answer?
- Yes — drafts, summaries and templated documents are common uses on top of the knowledge base.
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