Gofai
Hero Background

AboutGofai

Gofai was founded by a team with decades of experience building AI and intelligent systems — from research labs to enterprise deployments. We kept seeing the same pattern: data problems blamed on models when the real issue was data accuracy. Bad data surfacing too late, in dashboards, board decks, and executive fire drills.

We built Gofai on a different premise: accuracy should be engineered into data systems, not inspected after failure.

A Different Approach

Most platforms focus on observability — detecting anomalies after something already looks wrong. Gofai operates at a different layer.

Operate, Don't Observe

Most tools catch problems after bad data has already spread. Gofai works differently: we define what accurate data looks like first, then enforce it deterministically — before anything goes wrong.

AI-Powered Discovery

Our Large Metadata Model analyzes schema, patterns, and relationships to learn what accurate data looks like. Domain experts confirm what the model learned — no code required.

Deterministic Enforcement

Once confirmed, checks are enforced consistently, every run, without exception. AI supports discovery. Determinism governs enforcement.

Neuro-Symbolic by Design

A neural agent finds the patterns. A symbolic agent enforces the logic. An arbiter reconciles both. Because every decision must satisfy explicit logic — not just statistical likelihood — Gofai doesn’t hallucinate.

Part of the Intelligent Data Fabric

Modern enterprises are connecting pipelines, warehouses, APIs, and applications into increasingly complex data ecosystems.

Gofai provides the intelligent data fabric — the structural layer that governs how data enters systems, how it evolves, and how accuracy is maintained over time.
Governs how data enters systems
Controls how data evolves over time
Maintains accuracy at every layer
Data Fiber
Not observing from the outside — Accuracy embedded within the flow itself.

Built for Enterprise

Gofai is built for environments where data quality is not optional.

SaaS Ready

Fully managed SaaS deployment with enterprise-grade reliability and uptime.

Containerized & VPC

Deploy in containerized environments or within your private VPC for maximum control.

Explicit & Auditable

Validation logic is explicit, auditable, and easily understood by domain experts.

Controlled by Experts

Empower the people who know the data best to define and enforce quality standards.