From a data sample to operational ownership — in three steps
You don't start from scratch. Gofai's Large Metadata Model already understands common data structures and patterns — it just needs a representative sample of yours to learn what accurate data looks like.
1Step 1
Sample
Share a data sample from any critical pipeline
- Gofai analyzes structure, formats, and semantic types automatically.
- The model learns what accurate data looks like — directly from yours.
- A Large Metadata Model is created—ready for deterministic validation.
2Step 2
Validate
Answer simple yes/no questions
- A deterministic AI agent surfaces questions when ambiguity is detected — no LLM, no guessing.
- Subject matter experts confirm or adjust what the model learned — no delegation to AI.
- Confirmed checks are locked in and enforced exactly as confirmed.
3Step 3
Operate
Activate always-on validation and alerts
- Deterministic validation runs on every data load, every update.
- Bad data is caught before it reaches dashboards or downstream systems.
- Incidents route to Slack, Jira, or your existing workflows automatically.
What Gofai Owns, Once Deployed
One operational system across the data moving through your business — running continuously, owning the outcome
01
Entry
Anomaly detection at entry
Verify operations before propagation
As new data arrives, or if it doesn’t, Gofai checks that data movements correspond to normal operations. Departure from normal operations, anomalies, are reported spontaneously and enable responsive actions before they propagate into dashboards or downstream systems.
key capabilities
- Verifies arrival schedules and data completeness
- Flags structural and pattern anomalies immediately
- Prevents pollution of downstream databases and reports
02
Detection
Deterministic error detection
Large Metadata Model with proof-backed findings
Gofai’s neuro-symbolic AI architecture, a Large Metadata Model (LMM)1 consistently catches errors you've confirmed. The symbolic aspect learns your business’s semantics axiomatically, not probabilistically.
key capabilities
- Symbolic AI models business semantics axiomatically
- Structural validations enforced consistently
- Complete safety from probabilistic guesses
03
Remediation
AI-assisted remediation
Opt-in compliance-safe human confirmation
If your organization permits data modification, Gofai proposes corrections - grounded in the same neuro-symbolic architecture, confirmed by subject matter experts, never hallucinating a fix. Where data changes aren’t permitted, Gofai operates as detection-only.
key capabilities
- SME confirmation required for all suggested fixes
- Fully auditable compliance logs & versioning
- Instant fallback to detection-only mode
bank-stmt-stream.csv
Data Studio • Auto-Repair
Detected➔Correct➔Output
| Date | Amount | Status |
|---|---|---|
| 08/04/2023 | $5,000.00 | |
13/45/2308/05/23 | $2,000.00 | Repaired |
Semantic Accuracy: 100%
Format & Meaning converged
What the product looks like in use.
Ready to See It?
Walk away with a working validation system, not a demo.
