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Compliance Toolkit

Automated compliance artifacts, deterministic builds with cryptographic proof, and regulatory checklists mapped to your framework. What PyTorch, JAX, and Mojo cannot offer.

What MIND provides

Deterministic Builds

Bit-identical output from identical source. SHA-256 verified at every stage: source, IR, binary.

Signed Evidence Chains

Every compiled artifact carries a signed compile-time evidence chain (RFC 0016): determinism class, substrate, toolchain identity, and trace hash. SLSA-format attestation export is in development.

SBOM Generation

Software Bill of Materials in SPDX and CycloneDX formats, with transitive dependencies and license classification. Toolkit in development.

Audit Log Exporter

Timestamped execution logs for regulatory traceability, shipping with the commercial runtime. Structured records of compilation, deployment, and inference events.

Audit trail in action

// Source: model.mind
@audit(level="full")
@provenance(slsa_level=3)
@sbom(format=["spdx-3.0", "cyclonedx-1.5"])

param weights: Tensor<f32, 784, 10>

fn forward(x: Tensor<f32, ?, 784>) -> Tensor<f32, ?, 10> {
    matmul(x, weights)  // Shape verified at compile time
}

// Build with full audit trail:
// $ mindc build model.mind --audit --provenance --sbom
//
// Generated artifacts:
//   model.bin          (compiled binary)
//   model.bin.sha256   (binary hash)
//   model.slsa.json    (SLSA v1.0 provenance)
//   model.spdx.json    (SPDX 3.0 SBOM)
//   model.cdx.json     (CycloneDX 1.5 SBOM)
//   model.audit.json   (execution audit log)

Toolkit preview: the audit / provenance / SBOM CLI surface shown above is in development. Shipping today: deterministic builds and the signed compile-time evidence chain (RFC 0016) embedded in every compiled artifact.

Regulatory framework checklists

For each framework, we show what MIND automatically satisfies, where it helps, and what your team still needs to provide.

FDA 510(k) / De Novo

IEC 62304, ISO 14971, ISO 13485

Auto-satisfied

  • Software verification (compile-time shape checks)
  • Configuration management (signed evidence chain, SHA-256)
  • Reproducible builds (deterministic execution)

MIND helps with

  • Cybersecurity (memory safety, supply chain)
  • Performance reporting (deterministic benchmarks)

You still need

  • Risk management process documentation
  • Clinical performance studies
  • Device labeling

EU AI Act

Regulation 2024/1689, Articles 9-17

Auto-satisfied

  • Record-keeping and logging (Article 12)
  • Build provenance and traceability

MIND helps with

  • Risk management system (Article 9)
  • Technical documentation (Article 11)
  • Transparency (Article 13)

You still need

  • Data governance (Article 10)
  • Human oversight mechanisms (Article 14)
  • Quality management system (Article 17)

ISO 26262

Parts 6, 8, 9, 11 (Functional Safety)

Auto-satisfied

  • Software unit design (compile-time guarantees)
  • Software unit verification (static analysis)

MIND helps with

  • Tool qualification evidence (Part 11)
  • Integration verification
  • Safety-critical runtime checks

You still need

  • ASIL classification and analysis (Part 9)
  • Software development plan (Part 6)
  • Hardware-software interface spec (Part 8)

Start a compliance pilot

Free 4-8 week pilot. Migrate one model, get full compliance artifacts, and see exactly what MIND automates for your regulatory framework.

Learn about the pilot