Coming Soon

FinSight AI

The AI that never hallucinates financial data.

FinSight AI Preview

What it does

Every AI tool today reads SEC filings like a human: scraping HTML, guessing at numbers, hallucinating financial data. XBRL International's own research shows these tools achieve only 0-17% accuracy on structured financial data extraction.

FinSight is different. We parse the machine-readable XBRL data embedded in every SEC filing since 2009. This means every number comes from structured, tagged financial data — not guesswork. We then layer AI reasoning on top of this verified foundation for interpretation, comparison, and analysis.

The result: zero-hallucination financial data with full source citations. Every figure links back to its exact SEC filing and XBRL concept tag.

Key Features

XBRL-native data extraction from all SEC EDGAR filings
Natural language financial queries with verified, sourced answers
Multi-company comparison tables with standardized metrics
Every number links to its SEC XBRL source — click to verify
AI-powered interpretation that never generates or guesses numbers
Coverage: Every US public company since 2009

Tech Stack

FastAPIReactXBRLSEC EDGARClaude AIPostgreSQL

In development

The Story

We found that AI tools score 0-17% on financial data accuracy. We knew we could build something that scores 95%+. FinSight is our answer to the hallucination problem in financial AI.

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