ABOUT GRID42

AI-Native Training & Credentialing Platform.

For compliance professionals. For the organizations that employ them.

GRID42 trains compliance professionals to close their exact knowledge gaps — and issues verifiable credentials that prove they did. The diagnostic engine finds the gap. The training path closes it. The Passport proves it happened.

THE REINFORCING LOOP

BKT (Bayesian Knowledge Tracing) mastery below 0.60 triggers HAS_GAP in Neo4j. The Scaffold reads HAS_GAP, surfaces diagnostic, issues credential.

Course Factory subscribes to HAS_GAP events. Routes targeted cubelet content. Learner demonstrates mastery via APPLY-face (the practice exercise face of a cubelet) assessment.

HAS_MASTERED written to graph. Scaffold reads it as prior on next diagnostic. Precision improves. Content targeting sharpens. Both compound.

INFRASTRUCTURE STACK

MCP Server Cloudflare Workers OAuth 2.1 + PKCE, Stripe metering, 94 tools

Knowledge Substrate Neo4j on Railway Unified vector + graph traversal

Object Storage Cloudflare R2 Flat-file canonical substrate — JSON cubelets, assets

Assessment Cockpit Vercel Subscriber management, assessment dashboard

Production Agents Claude Code Agent SDK 5-agent pipeline on Modal burst compute

Observability Arize Phoenix LLM traces at agent boundary

Credentials W3C VC 2.0 + SD-JWT Issuer DID: did:web:euler.center

Ontology Pipeline SHACL + SKOS VOCABULARY → TAXONOMY → THESAURUS → ONTOLOGY.ttl

WHY AI-NATIVE

The credential proves what the training produced. The diagnostic proves what the credential covers.

AI-native means the diagnostic, the training path, and the credential are all generated and verified by the same system — not assembled from separate vendors. Bayesian diagnostics, adaptive cubelets, and W3C VC 2.0 credentials in a single closed loop.

See how it works →