Factagora

About Factagora

Make every claim verifiable.

AI gives you an answer, then throws away when it was true, what it was based on, and who disagreed.

Factagora captures what that compression discards, so every claim can be traced, checked, and trusted.

The Problem

AI answers without knowing when things were true

Contracts get amended, policies get revised, prices change. Search and AI treat every version as equally true and quote whichever they find first, with nothing to show which one is still in force. Factagora keeps the date and the source on every fact, so an answer can say what held on a given day, what replaced it, and exactly where it came from.

What We Value

Truth is built one verified claim at a time

Claim

  • Source
  • Author
  • Timestamp

Every claim comes with receipts

An answer without sources is just an opinion with good posture. Every claim that passes through Factagora keeps its evidence attached: where it came from, who said it, and when it was said.

SupportingCounterargument
Calibrated confidence
0.72

Confidence you can calibrate

We never ask you to trust the machine. We show the strongest counterargument right next to the supporting evidence, with a confidence score that tells you how much weight the claim can actually carry.

  1. V1 · 2023.04
  2. V2 · 2024.11
  3. V3 · 2026.07

Facts live in time

What was true in 2023 may be false today. Facts in Factagora are versioned and timestamped, so you can see not just what is true, but since when, and exactly what changed.

What We're Building

Verifiable fact infrastructure

Factagora is a verifiable memory layer for AI. One API layer for fact search, claim verification, evidence retrieval, and causal reasoning on top of any LLM, vector DB, or RAG stack. Instead of a single answer, you get the claim, its sources, the strongest counterargument, and how confident you should actually be.

Verification You Can Measure

0%Past-date answers that leaked future data. A vector store: 37%.
Factagora
Vector store
95%Cause-and-effect accuracy. A vector store: 77%.
Factagora
Vector store

Measured against a vector store with the same model and the same queries (claude-haiku-4-5; causal QA, n=60).

Trusted where accuracy is the job

Shin & Kim LLC

Factagora demonstrated lawyer-like logic, saving our lawyers time while enhancing trust in our AI services.

Junkyu Ahn

Lawyer at Shin & Kim LLC

Shin & Kim LLC

The time we spend on document verification has been reduced dramatically. Hours now takes minutes.

Legal Research Team

Shin & Kim LLC

Backed By

We are backed by investors who believe verifiable AI is foundational infrastructure.

Asia2G Capital
Plug and Play
Creative Ventures
경기창조경제혁신센터

Join Us

Build the verification layer with us

In a world flooded with generated content, verified truth is the scarce resource worth building. We are looking for partners, investors, and people who want to work on exactly that. If "make every claim verifiable" is a mission you would join, we want to hear from you.

See open roles