Research Question

How transparent are climate risk analytics providers about data lineage, scenario coverage, and model accountability?

Disclosure

No commercial relationship with any provider named in this report. Dunstan Research Group does not accept sponsorship from covered entities.

Key Findings

• Data lineage disclosure is fragmented. Most providers describe input categories at a high level but omit sourcing dates, transformation steps, and uncertainty ranges.
• Scenario coverage claims outpace public proof. Several providers advertise coverage of dozens of scenarios; only two publish the underlying scenario assumptions and IPCC alignment.
• Model accountability is weak across the board. No evaluated provider publishes a clear process for model-version updates, error correction, or retrospective accuracy review.
• Regulatory alignment is uneven. Providers targeting European buyers are more likely to disclose TCFD and CSRD alignment than those focused on North American markets.

Criteria & Weights

This market report evaluated providers across four dimensions:

1. Data lineage transparency (30%)
2. Scenario coverage proof (25%)
3. Model accountability (25%)
4. Regulatory alignment disclosure (20%)

Evidence Classes Used

We used direct documentation (methodology white papers, technical specifications, terms of service), regulatory filings (where providers are public or disclose certifications), expert interviews with risk practitioners on background, and editorial analysis.

Findings

The market can be segmented into three groups:

Transparent incumbents scored highest on data lineage and accountability. Challengers often claimed broader capabilities than their documentation supported. Niche specialists performed well within their scope but lacked cross-sector coverage proof.

Proof Gaps

• No provider publishes a complete data dictionary with update frequency and source provenance.
• Model-error rates or backtesting results are not disclosed by any evaluated provider.
• Customer-validated outcome studies are rare; most case studies lack quantitative claims.

Limitations

This report is based on public documentation and expert interviews conducted in April and May 2026. We did not license or test the platforms directly. Scenario coverage claims were assessed against published descriptions, not independent reproduction.

Source Notes

• Provider methodology documents and technical white papers, accessed April–May 2026.
• SEC and voluntary sustainability filings for public or filing entities.
• On-background interviews with six climate risk practitioners at asset managers and corporates.

Disclosure & Correction Pathway

Dunstan Research Group has no commercial relationship with any provider named. If you have documentation that would change these findings, please use our Submit Evidence page or email corrections@dunstanresearch.com.

Evidence Classes Used

• direct-documentation
• regulatory-filings
• expert-interviews
• editorial-analysis

Limitations

Findings reflect publicly available documentation and a limited set of expert interviews conducted on background. Provider responses were not solicited. Scenario coverage claims could not be independently reproduced.

Found an error or have evidence?

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