Bad data doesn’t announce itself.
Gofai does.
Gofai's Large Metadata Model learns what accurate data looks like — directly from yours. Then enforces it deterministically. No hallucinations. No code.
Sound familiar?
We found the error. Both sales and accounting had subtracted sales tax.
Catch it upstream — before it reaches the deck.
Can you add one more check to the pipeline?
No more one-off scripts. The model learns once — and enforces everywhere.
The dashboard says X, but that can't be right.
Deterministic validation — before dashboards refresh.
I know what's valid—I just can't code it.
Just answer yes/no questions. Gofai learns what valid looks like — and enforces it automatically
End the "are these numbers right?" moments
Most tools detect anomalies after something already looks wrong. By then, bad data has reached dashboards, board decks, and downstream systems. The result: fire drills and eroded trust.
Gofai's Large Metadata Model learns what accurate data looks like — directly from yours. Then enforces it deterministically, before bad data spreads. No guessing. No probabilistic alerts. Trust restored
How Gofai Works
From one file to always-on validation — in under 20 minutes.
Upload one representative file. Gofai's Large Metadata Model analyzes structure, formats, and relationships — learning what correct looks like for your data.
Answer simple yes/no questions to confirm or reject what the model learned. Ambiguity is resolved by you — not guessed by AI. The result: a deterministic model, zero hallucinations.
Activate always-on validation. The model catches bad data before it reaches downstream systems — with incidents routed to the right owners automatically.
Why teams trust Gofai
No-code model creation
Subject matter experts confirm what the model learns — no scripts, no engineering tickets.
Deterministic, not generative
No probabilities. No guessing. Same input, same result — every time. Auditable by design.
Secure, containerized deployment
Runs inside your environment. Data never leaves your control.
See It Work on Your Data
Pick one pipeline. Walk away with a working validation system in 20 minutes.
Start Your 20-Minute Build
