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 verifiable knowledge layer for AI. It turns unstructured text into structured, time-stamped, source-linked facts connected in a Temporal Knowledge Graph — so your AI can answer not just what is true, but when it was true and why it happened. Add it on top of the stack you already run; no rebuild required.Where Factagora fits in your stack
Keep your LLM, your vector database, and your RAG pipeline. Factagora is the grounding and verification layer you add on top — it checks what your AI is about to say against verifiable, time-aware, source-backed facts. One API layer, any framework.Answers that are current
Point-in-time facts mean your AI sees what was true at the moment that matters — no stale data, no hindsight bias.
Answers with a reason
Causal links explain why something happened, not just that it did — so AI can reason, not just retrieve.
Answers you can trace
Every fact carries its source and a confidence score, so each answer is backed by evidence you can follow.
Answers you can audit
A verifiable, traceable trail for the work that can’t be wrong — finance, legal, healthcare, and compliance.
Factagora complements vector search, it doesn’t replace it. Embeddings find what’s similar; Factagora verifies what’s true right now and why.
Core Components
FactBlock is the smallest unit of trusted knowledge. It extracts key facts from unstructured text and structures them with metadata and sources. TKG (Temporal Knowledge Graph) stores each fact as a time-stamped, causally linked proposition. It tracks not just what is true, but when it was true and why it happened — returning only the facts valid at the moment you ask, and linking causes to their effects. This is what lets Factagora answer “when” and “why” questions accurately, without later information leaking into earlier answers. DeepVerify performs word-by-word verification against trusted sources, instantly checking whether each statement is verifiable. Fingerprint embeds an invisible, cryptographic watermark into your content based on its causal structure, entities, timelines, and argument chains. When that content reappears (even rewritten or paraphrased), Fingerprint detects the original source with high confidence and produces an auditable evidence trail. Factagora Search API is an AI trust infrastructure that reduces hallucinations by structuring information as Factblocks, each linked to a confidence score, source, and temporal context, powered by the Temporal Knowledge Graph (TKG).Integration Methods
Connect Factagora to your workflow in various ways.Browser Extension
Real-time web verification
ChatGPT / Claude
AI agent integration
API
Direct integration
Who is it for?
Factagora is built for anyone who needs to make decisions based on accurate, verifiable information.- 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
Get Started
Quickstart
Get up and running with Factagora in minutes.
API Reference
Explore the Factagora API.