Fraud / insurance

Catch the claim
before it pays out.

Run claimants through 32 OSINT workers in seconds. Surface social-media activity that contradicts the claim, prior addresses linked to other claims, breach exposure tied to identity theft, and behavioral patterns across cases. Court-ready citation trail on every finding.

What this fixes.

PAIN 1
Manual claim investigations don't scale to claim volume.
$308B/year in US insurance fraud alone (FBI estimate). The fraudulent claims that pay out are the ones nobody had time to investigate.
PAIN 2
Social-media surveillance is brittle — accounts get hidden, posts disappear.
By the time SIU manually reviews a case 3 weeks after filing, the smoking-gun gym selfie is deleted. We snapshot evidence at discovery time.
PAIN 3
Cross-case pattern detection is impossible by hand.
The same address showing up across 8 unrelated claims is the strongest fraud signal there is. Manual case files don't surface that.
What gets checked

8+ data sources running in parallel.

Social-media activity scrapes with timestamp anchoring
Address history + co-resident lookups
Cross-case identifier matching (recurring emails, phones, addresses)
Court records + prior litigation
Dark-web breach exposure (identity theft signals)
Vehicle registration + property records
Phone + carrier intelligence
Photo metadata + reverse-image search
What you get

The report that lands on your desk.

  1. 1
    Claim summary with red-flag count and recommended action
  2. 2
    Timeline of claimant social-media activity around incident date
  3. 3
    Cross-case intelligence — other claims sharing identifiers
  4. 4
    Snapshotted evidence preserved at discovery time (defensible at trial)
  5. 5
    Network graph linking claimant to other suspect entities

Common questions.

Is this admissible in court?+

Every piece of evidence is timestamped, hash-locked, and traces to a specific API call. Multiple SIU teams have used Tracelight evidence in subrogation actions and insurance fraud prosecutions. Always coordinate with your counsel for jurisdictional admissibility.

How does cross-case intelligence work?+

When you add a subject, Tracelight quietly checks every other case in your workspace for matching identifiers (email, phone, address, alias). When the same identifier surfaces in 3+ cases, you get an Intelligence alert — typically the strongest fraud signal in the dataset.

Can carriers / TPAs use this?+

Yes — the Agency plan supports multi-tenant case isolation so a TPA can run investigations on behalf of multiple carrier clients without leaking findings between books of business.

Run a sample fraud check — free for 7 days.

No credit card. Cancel anytime. Same product, same OSINT workers, same audit trail — just scoped to your investigation.

Other use cases