Build and manage a secure, internal knowledge base tailored to your organization’s proprietary data.
Factblock
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SOT(Source of Truth)
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PROBLEM
PRODUCT
Source of Truth Repositories
Finance
Legal
We start by building
a factual knowledge base.
Factagora ingests all your data
... including policies, rules, and internal information.
It’s broken down into FactBlocks.
Users score, label, and categorize each FactBlock — so the AI learns what’s most trustworthy and useful.
FactBlocks connect to each other.
Together, they form a comprehensive knowledge graph that represents the sum total of all the information from your organization.
You get a superior AI source of truth.
Because we incorporate human feedback, you’ll see fewer hallucinations and increase knowledge.
SOLUTION
Validate AI outputs with fact-based reasoning, ensuring transparency and trust in high-stakes domains.
Automate document review, chatbot responses, draft generation, and knowledge management across teams.
Plug our fact-checking layer into your existing AI service via API or MCP protocol for independent verification.
BENEFIT
SHIN & KIM
Factagora’s factblock idea is quite promising. During the testbed, we found factual knowledge base built with internal data could reduce the AI hallucination
Data scientist
JiaJun Liu
The output quality is similar to other generative AIs, but the internal document search is significantly better. It’s a big improvement over digging through a pile of irrelevant results
Labor Law
Partner Attorney
Compared to previous systems, the results are much more relevant to the queries. It makes legal research easier and more intuitive.
Corporate Litigation
Associate Attorney
The legal query function was excellent. I compared it with Perplexity, and Factagora's legal AI was clearly better. Thank you for building such a powerful tool
Finance
Associate Attorney
Searching through internal memos is far more accurate than other services I’ve used. The ability to pinpoint related content is especially helpful. When using the FactBlock feature to reference internally organized materials, the answers generated are noticeably more useful.
M&A
Associate Attorney