Verification infrastructure for AI governance at global scale
GAFAIG operates as a governance verification engine and public trust registry for AI systems. It separates private review operations from public certification outcomes, so governance can be verified, structured, and transparently surfaced.
The platform is designed as global trust infrastructure: a private verification layer for evaluators, a public certification registry for transparency, and an explorer layer for countries, organizations, AI systems, and global governance visibility.
Live governance footprint
These public counters are generated from GAFAIG’s Snowflake-backed registry, AI systems layer, and verified participant identity records.
Private Verification Engine
A controlled reviewer environment where organizations are assessed through evidence, findings, scoring, and certification workflow.
- Reviewer-only operational layer
- Snowflake-backed workflow
- Deterministic governance outcomes
Public Registry
A public trust surface where certification outcomes can be disclosed without exposing private reviewer materials or internal evidence.
- Certified organizations
- Structured certification records
- Public trust signaling
Global Explorer
A discovery layer for organizations, AI systems, countries, and geographic governance coverage across the GAFAIG network.
- Organizations and systems
- Countries and map view
- Global infrastructure visibility
From private verification to public trust
GAFAIG is structured as infrastructure, not just a website. It begins in a private verification workflow, moves through deterministic certification logic, and ends in public registry and explorer surfaces that communicate trust without revealing confidential materials.
Organizations enter a controlled review workflow.
Governance artifacts and oversight records are assessed.
Structured scoring produces reproducible outcomes.
Formal decisions confirm governance status.
Public trust signals become visible at global scale.
The public rationale for why independent AI governance verification is necessary.
The verification model for evidence, findings, deterministic scoring, and certification outcomes.
A geographic view of where certified organizations and disclosed AI systems appear across countries.
AI governance needs infrastructure, not just policy language
As AI systems move into operational environments, governance cannot remain abstract. Institutions need a way to verify oversight, structure evidence, produce auditable decisions, and publish trust signals that others can rely on. GAFAIG exists to provide that missing infrastructure layer.