Company knowledge
Turn new documents into facts with checked quotes
Each document you add is read once by an AI model and turned into facts, each backed by a verbatim, checked quote. It costs about one cent per typical document.
- No manual tagging
- Facts you can check
- Predictable cost
What you get
No manual tagging
Each newly added document is read once and turned into facts automatically.
Facts you can check
Every fact carries a verbatim quote that has been checked, so you can see where it came from.
Predictable cost
About one cent per typical document, with a cheaper batch option. Since 4 Sep it can run while a SharePoint crawl is still going.
How it works
An admin turns on the document graph and automatic fact extraction.
When a document is added, an AI model reads it once.
The model turns it into facts, each with a verbatim, checked quote.
Newly added document
Agnes
An AI model reads each document once
Facts
With verbatim, checked quotes
- An admin turns on the document graph and fact extraction separately
- Since 4 Sep: can run while a SharePoint crawl is still going
- On Google Vertex AI or as a cheaper batch
- About one cent per typical document
- A new document is added.
- An AI model reads it once.
- It becomes facts with verbatim, checked quotes.
Good to know
Built for
- Finance and ops leads with large document sets
- Knowledge managers building company facts
- IT admins planning AI processing costs
Before you start
- An admin switches this on, in two separate settings.
- Needs an AI provider key and setup by your admin; it can run on Google Vertex AI.
- Costs about one cent per typical document.
More in Company knowledge
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An admin connects SharePoint in Add data source, browses sites and folders and picks them; they become collections. Since 30 Aug the admin can also search folders and browse deeper, and mark a folder for anonymization: Agnes records the processing job's declaration but cannot verify it.
Read more → 
NewCompany knowledgeSearch document facts, each with the sentence it came from
Facts about clients, people and engagements that a document-processing job delivers are stored with their source, a verbatim quote and a date. Search them on the collection page, from the command line or through agents; conflicting values appear side by side.
Read more →- Brain for company knowledgeA central place called Brain replaces the separate library and decision menus to house everything Agnes knows. It organizes topics, definitions, decisions, documents, and data packages in one unified space, complete with a visual map and a dedicated section for items that need your review.
See it live
See it on your own data
Book a short walkthrough and we will show you how this works with your own company data.