From a sample file to always-on protection 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
Upload a sample file from any critical pipeline
- Gofai analyzes structure, formats, and relationships automatically.
- The model learns what accurate data looks like — directly from yours.
- A Large Metadata Model is created—ready for deterministic validation.
2Step 2
Clarify
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 deterministically — no hallucinations.
3Step 3
Monitor
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.
Built for Pipelines Where Getting It Wrong Isn't an Option
No-Code Model Confirmation
Subject matter experts confirm what the model learns — no scripts, no engineering tickets.
Deterministic, Not Generative
Validation enforces what the model learned — same input, same result, every time.
Automated Remediation (Optional)
Route incidents to your team—or deploy agents to auto-fix recurring issues.
Enterprise-Grade Security
Gofai runs inside your environment — cloud VPC or on-prem. Sensitive data never leaves your perimeter.
- Containerized deployment—runs anywhere
- No raw data sent to external control planes
- Integrates with your existing governance and identity systems
Ready to See It?
Walk away with a working validation system, not a demo.
