What is Factagora?

The Problem

AI is advancing at an incredible pace, but the 'Hallucination' problem persists. It's difficult to verify whether AI-generated information is accurate, and once misinformation spreads, it's hard to undo. News, social media, AI chatbots — how can we ensure the reliability of the information we encounter?

Factagora's Solution

Factagora is a platform that transforms unstructured text into structured knowledge, tracks how facts evolve over time, and enables real-time verification. Every claim is linked to its sources, enabling trustworthy evidence-based decision making.

In particular, Factagora structures when each fact was true (time) and what caused what (causality) together — so that AI can answer questions about temporal relationships and cause and effect with precision.

Why Time and Causality

Most AI and search systems treat text as a whole and discard two crucial signals: when something is true, and what caused what. As a result, they often state outdated facts as if current, or mistake mere co-occurrence for causation. Factagora stores, manages, and retrieves these two axes explicitly — so its answers are especially accurate when it comes to temporal and causal relationships.

Core Components

Integration Methods

Connect Factagora to your workflow in various ways.

• Browser Extension — Real-time web verification
• MCP Server — AI agent integration
• API — Direct integration (Coming soon)

Who is it for?

• Researchers — Fact verification and source management for papers and reports
• Developers — Integrate verified knowledge into AI applications
• Finance Professionals — Real-time verification of market data and company information
• Legal/Healthcare Professionals — Verify accuracy of regulations, case law, and medical information
• Media/Journalists — Fact-checking news and information