The intelligence layer
for the claims economy.
The same market intelligence the defense has used for decades. Now assembled by AI from public records and delivered to your side of the table.
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Public & proprietary data · Advanced AI & machine learning · Data drawn from all 50 states
millions
Manual research gives you one data point at a time. DAIS runs advanced machine learning across millions of public filings and surfaces the patterns behind them -- at a scale and speed no manual process can reach.
AI links every subsidiary entity behind a major builder -- across licensing records, permits, and court filings -- into a single unified view of enterprise conduct. No manual name search reaches the whole picture.
Machine learning processes the full market across more than a dozen states and surfaces carrier and builder conduct patterns that are statistically invisible at the individual case level.
Every carrier is indexed against its peers -- by line, by state, by claim type -- so a conduct signal is a calibrated read on where a carrier stands relative to the market, not just a raw count.
Regulatory filings, consent orders, and financial disclosures enter the public record continuously. DAIS re-scores on a rolling basis -- so the intelligence reflects who you're dealing with today, not last year.
Every professional who works on behalf of policyholders and property owners now has access to the same aggregate market intelligence the other side has always had.
Know the carrier before the demand goes out. Screen at intake. Calibrate against the market.
Add market-level pattern context to site-level findings. Turn technical testimony into systemic evidence.
Underwrite the defendant, not just the claim. Conduct posture, financial health, collectability signals.
Know which carriers delay, scope-reduce, and reopen claims in your market before you submit.
Market-level builder intelligence that contextualizes your expert opinion and strengthens pattern evidence.
DAIS processes public filings at scale and surfaces the patterns behind them — across carriers, builders, and markets. Anonymized. Aggregate. Continuously updated.
The Data Asymmetry Problem in Construction Defect Litigation
Why the defense has always had an information advantage — and how aggregate data changes that calculus for plaintiff attorneys.
Entity Resolution in Litigation Analytics
How machine learning links affiliated entities across data sources — and why it matters before you decide who to name as a defendant.
Florida §558 and the Construction Defect Data Trail
Pre-suit notice filings create a public record of builder conduct. Here is what that record reveals at scale across Florida.
The defense side has underwritten risk from aggregated data for decades. DAIS brings that same edge to the plaintiff side of the table.