Bad data doesn’t announce itself.
Gofai does.
Gofai is the data integrity layer. An operational system that takes responsibility for the data moving through your business — detecting anomalies at the entry, catching errors deterministically, and proposing AI-assisted fixes (where permitted). 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. And underneath: no single system takes operational responsibility for the data itself. Engineers patch pipes. Analysts watch dashboards. The data moving between them has no owner.
Gofai operates the data moving through a section of your business — end to end. Detecting anomalies at the entry, catching errors deterministically, and proposing AI-assisted fixes where permitted. An owner, not a watcher. Trust restored.
What Gofai Owns
One operational system across the data moving through your business. Three connected functions - designed to work as one.
Anomaly detection at entry
Verify operations before propagation
Key capabilities
- Verifies arrival schedules and data completeness
- Flags structural and pattern anomalies immediately
- Prevents pollution of downstream databases and reports
Deterministic error detection
Large Metadata Model (LMM) with zero hallucinations
Key capabilities
- Symbolic AI models business semantics axiomatically
- Guaranteed 100% accuracy for structural validations
- Complete safety from probabilistic guesses
AI-assisted remediation
Opt-in compliance-safe human confirmation
Key capabilities
- SME confirmation required for all suggested fixes
- Fully auditable compliance logs & versioning
- Instant fallback to detection-only mode
Why teams trust Gofai
Neuro-symbolic by design
Gofai’s LMM is built on a neuro-symbolic AI architecture. A neural agent finds patterns, a symbolic agent applies logic, an arbiter reconciles both. Deterministic answers, not statistical guesses. That’s why Gofai doesn’t hallucinate.
Human-confirmed, by design
Subject matter experts confirm the model has learned both data format and semantics for your business. Model refinement requires answering some simple yes/no questions. Domain knowledge stays with the people who hold it. No engineering tickets, no scripts, no delegation to AI.
Runs inside your environment
Containerized deployment — VPC or on-prem. Sensitive data never leaves your perimeter. Gofai never sees your live data. The architectural commitment, not a compliance checkbox
How Gofai Works
From one data sample to operational ownership — in under 20.
Share one sample of your data. Gofai’s Large Metadata Model analyzes structure, formats, and relationships — learning what accurate data looks like, directly from yours.
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.
Gofai operates the pipeline. Anomalies caught at the entry, errors detected deterministically, AI-assisted fixes proposed where permitted — with incidents routed to the right owners automatically.
See It Work on Your Data
Pick one pipeline. Walk away with Gofai operating it — anomalies, errors, fixes where permitted — in twenty minutes.
Start Your 20-Minute Build
