Compliance, with a receipt.
Most "AI compliance" stops at access logs and prompt-level guardrails. Divinci goes inside the model. Every entity association is a queryable feature; every edit is a portable, auditable patch — and the vIndex is the technical-documentation artifact your regulator is about to start asking for.
What the regulation requires
The same artifact answers transparency, oversight, documentation, and erasure requirements.
| Regulation | Requirement | Competitors | LarQL/vIndex |
|---|---|---|---|
 EU AI Act Annex IV | Technical documentation auto-generated from the vIndex | Access logs + prompt guardrails only | Generated from the vIndex itself |
| GDPR Art. 17 | Right-to-erasure with verifiable proof | Soft-delete, no proof | Rank-1 patch erases the association; receipt issued |
| HIPAA §164.312 | Audit trails for protected health information | Manual audit logging | Every entity association is a queryable feature |
 NIST AI RMF MAP/MEASURE | Risk management framework mapping | Static controls checklist | Continuous, model-native evidence |
 SOC 2 Trust Services | Security, availability, confidentiality | Point-in-time audit | Live attestation from deployment telemetry |
 ISO/IEC 42001 AI Management | AI management system standard | Document-only conformity | vIndex as the system of record |
What a "receipt" actually looks like
A LarQL patch is a portable JSON file with a SHA-256 checksum. Apply it to suppress a fact; remove it to restore the model bit-for-bit. The patch IS the audit log — operators, regulators, and downstream consumers can verify the same operation independently.
Below: the actual Gate-3 patch we ship in our public test suite, showing the Paris→capital association suppressed and reverted with measurable, repeatable effect on a real Gemma 4 E2B vIndex.
{
"name": "gdpr-art17-paris-capital",
"version": 1,
"base_model": "google/gemma-4-E2B-it",
"created_at": "2026-04-22T22:34:00Z",
"operations": [{
"op": "delete",
"entity": "Paris",
"relation": "capital",
"target": "서울",
"weight": -1.0,
"layer": 27,
"feature": 11179
}]
}
# ── Verifiable result ──
# before: feature 11179 score 18.10 target='서울' (rank #1)
# after: feature 11179 ABSENT from top-25
# Δ perplexity (WikiText-103, 1024 tok): +0.02%
# vIndex sha256: 9abaeaf6...Compliance you can prove. On any open transformer.
Twelve published vIndexes today across Gemma, Qwen, Llama, Mistral, OpenAI MoE, and Microsoft 1-bit. Bring your model — we'll build the receipt.