Inside SICCODE.com’s Continuous Verification Framework | Verified SIC & NAICS Data

Principles of the Framework

• Evidence-first: Every assignment is supported by verifiable signals and stored lineage.
• Human + AI: Machine learning scales detection; expert reviewers resolve ambiguity.
• Versioned truth: Stable sector/subsector rollups keep time-series analysis comparable.
• Governance by design: Changes are documented via deltas, rationale tags, and checksums.

Pipeline Overview

1. Signal Intake: Company descriptions, products/services cues, corporate relationships, geospatial context, historical codes, and regulatory references are ingested.
2. Candidate Generation: Multimodal models propose top SIC/NAICS candidates with probabilities and supporting snippets.
3. Policy Filters: Rules enforce primary-code fidelity (revenue-dominant activity) and detect adjacency/secondary relevance.
4. Expert Adjudication: Low-confidence or conflicting cases are routed to analysts with compact evidence packets.
5. Quality Scoring: Post-adjudication, records receive confidence bands and optional rationale tags (e.g., “manufacturing activity dominates”).
6. Release Packaging: Updates ship with version IDs, dataset deltas, impact notes, and integrity checks.

Multimodal Signals We Use

Human-in-the-Loop Quality Assurance

• Triage: Confidence thresholds determine auto-accept vs. review queues.
• Reviewer Tooling: Side-by-side candidate reasoning, source highlights, and policy checklists.
• Consensus Protocols: Disagreements escalate to senior analysts; outcomes become training signals.
• Sampling & Audits: Statistical samples validate precision/recall by sector and company size.

Versioning, Deltas & Stability

Each release includes a version ID, dataset delta (adds/changes/removals), and impact notes. We maintain a stable sector/subsector rollup layer so dashboards, models, and reports remain comparable across versions.

• Backward-compatible rollups for longitudinal analysis
• Change logs for audit and model risk review
• Optional integrity controls (seed records, checksums)

Accuracy & Coverage Benchmarks

• Verified classification accuracy: 96.8%
• National coverage: 20M+ U.S. establishments
• Organizations supported: 250,000+
• Operational implementations analyzed: 300,000+

Figures reflect continuously normalized datasets with governed releases and expert QA.

Operationalizing the Framework in Your Stack

1. Map Dependencies: Identify where industry labels drive routing, models, and reporting.
2. Adopt Rollups: Align dashboards to the stable sector/subsector hierarchy.
3. Append & Validate: Import primary SIC/NAICS, rollups, version IDs; QA a sample and reconcile outliers.
4. Monitor Deltas: Use release notes to update controls, retrain models, and brief stakeholders.

Licensing & Use

Data is licensed for internal use at the purchasing office location. Redistribution or multi-office deployment requires extended licensing. Documentation bundles support audit and compliance needs.