Insurance / SIU

Investigate the claim
before you pay it out.

Special Investigation Units (SIUs) at insurance carriers + TPAs run on volume — far more claims than analyst hours. Tracelight runs each suspect claim through 32 OSINT workers in parallel, surfaces social-media activity that contradicts the claim narrative, identifies cross-claim patterns (same address across 8 unrelated claims), and ships court-ready evidence preserved at discovery time.

Run a sample claim investigation See the demo

What this fixes.

PAIN 1

Manual SIU triage doesn't scale to claim volume.

$308B/year in US insurance fraud (FBI estimate). The fraudulent claims that pay out are the ones nobody had time to investigate.

PAIN 2

Social-media surveillance evidence disappears if you wait.

By the time SIU manually reviews the case 3 weeks after filing, the smoking-gun gym selfie posted 2 days after the alleged disability is deleted. Snapshot at discovery time or lose it.

PAIN 3

Cross-claim pattern detection is impossible by hand.

The same address showing up across 8 unrelated claims is the strongest single fraud signal in the dataset — and traditional case management doesn't surface it.

What gets checked

8+ data sources running in parallel.

Social-media activity scrapes with timestamp anchoring

Address history + co-resident lookups

Cross-claim identifier matching (recurring emails, phones, addresses, doctors, attorneys)

Court records + prior litigation + bankruptcy

Dark-web breach exposure (identity-theft signals)

Vehicle registration + property records

Phone + carrier intelligence

Photo metadata + reverse-image search for staged photos

What you get

The report that lands on your desk.

1
Claim summary with red-flag count + recommended action (pay / investigate / deny)
2
Timeline of claimant social-media activity around incident date
3
Cross-claim intelligence — other claims sharing identifiers in the same workspace
4
Snapshotted evidence preserved at discovery time (defensible at trial)
5
Network graph linking claimant to other suspect entities + claim-mill nodes

Common questions.

Is this admissible in subrogation / fraud prosecution?+

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-claim intelligence work?+

When you add a subject to a claim case, Tracelight quietly checks every other case in your workspace for matching identifiers (email, phone, address, alias, treating physician, retaining counsel). 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 multi-tenant?+

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. Each carrier sees only their own data.