Gofai

What Gofai Owns, Once Deployed

One operational system across the data moving through your business — running continuously, owning the outcome

01
Entry
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
Detection

Deterministic error detection

Large Metadata Model (LMM) with zero hallucinations

Gofai’s neuro-symbolic AI architecture, a Large Metadata Model (LMM)1 catches errors with 100% accuracy. The symbolic aspect learns your business’s semantics axiomatically, not probabilistically. In other words, no hallucinations.

key capabilities

  • Symbolic AI models business semantics axiomatically
  • Guaranteed 100% accuracy for structural validations
  • Complete safety from probabilistic guesses
03
Remediation
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

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.
Sample
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 deterministically — no hallucinations.
Validate
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.
Operate

Built for Pipelines Where Getting It Wrong Isn't an Option

No-Code Model Confirmation

No-Code Model Confirmation

Subject matter experts confirm what the model learns — no scripts, no engineering tickets.
Deterministic, Not Generative

Deterministic, Not Generative

Validation enforces what the model learned — same input, same result, every time.
Automated Remediation (Optional)

Automated Remediation (Optional)

Where you allow changes, Gofai proposes fixes for subject matter expert approval. Everywhere else, it stays detection-only and routes flags to your team.

Enterprise-Grade Security

Gofai runs inside your environment — cloud VPC or on-prem. Sensitive data never leaves your perimeter.

  • Containerized deployment—runs anywhere
    Containerized deployment—runs anywhere
  • No raw data sent to external control planes
    No raw data sent to external control planes
  • Integrates with your existing governance and identity systems
    Integrates with your existing governance and identity systems
Enterprise-Grade Security

Ready to See It?

Walk away with a working validation system, not a demo.

Build a Working System