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dRisk / Data & partnerships
Make disclosure changes discoverable
Company-level change scores, source-linked comparisons, and AI-assisted summaries across successive SEC filings.
10-K · 10-Q · 20-F / Company disclosures, compared.
Risk factors / Supply chain
− Removed
We depend on suppliers for certain components.
+ Added
We depend on a single supplier for a critical component, and interruptions could delay production.
WHAT CHANGED
The wording now identifies reliance on one supplier and a potential production impact.
Illustrative example. Not an excerpt from a company filing.
Trace changes to the original filing
Compare the current and prior disclosure
Add context with AI-assisted summaries
The data offering
Bring disclosure comparisons into company research, screening and monitoring workflows. Evaluate a sample with us, then agree the fields and coverage that fit your platform.
Request a sample datasetTicker, company name, filing type and filing date.
Current and prior filing references, with source links.
Change score, risk-factor word counts and added or removed passages.
AI-assisted explanation of the changes, with a link to the comparison.
Explore the research
Three public demonstrations of dRisk’s company filing comparisons.
10-K · September 15, 2026
Financial reporting
Explore disclosures concerning material weaknesses, going-concern uncertainty and customer concentration.
View filing comparison →10-K · September 11, 2026
Technology & peers
Explore evolving AI-related disclosures and compare risk-factor word counts with industry peers.
View filing comparison →10-Q · May 1, 2026
Regulatory change
Explore changes in disclosures about AI safety, cybersecurity, antitrust and privacy.
View filing comparison →Built for thoughtful interpretation
The Disclosure Change Score measures changes in risk-factor text. It is not an investment-risk rating, a prediction of loss or a recommendation to trade.
Follow the comparison back to the underlying SEC documents and review the wording in context.
Summaries support research. They can contain errors and should be checked against the source evidence.
Historical depth and comparison availability vary. We’ll establish the available scope, exceptions and update expectations during evaluation.
From evaluation to delivery
01
Tell us your use case. We’ll agree a representative sample and explain the fields and methodology.
02
Confirm company coverage, history, update frequency, licensing and attribution.
03
Plan the format and integration together, including CSV/JSON or BDDF over SFTP where required. Delivery is subject to implementation and validation.
Evan Brown · evan@d-risk.ai
For privacy information, see our privacy policy. Research examples are provided for evaluation, not as investment advice.