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
M&A diligence
M&A & pre-acquisition due diligence
Surface sanctions hits, undisclosed litigation, key-person liability, and reputational red flags before LOI. Citation-anchored reports your legal team can defend.
Background checks
Background checks
Pre-employment screening with FCRA-aware citation trails. 32 parallel workers cover criminal records, sanctions, dark-web exposure, and adverse media — far beyond a stock credit-report background check.
Journalism
Investigative journalism
Source vetting + cross-platform identity correlation for investigative reporters. Verify identities, surface conflicts of interest, and audit your own sourcing trail before publication.
Skip tracing
Skip tracing
Find people who've gone off the grid. 32 OSINT workers correlate aliases, addresses, social activity, and breach exposure to surface a current location lead.
Expert witness vetting
Expert witness vetting
Before you depose them or hire them, run an expert through 32 OSINT workers. Surface prior testimony, conflict of interest, credentials disputes, and reputation risks before they cost the case.
Litigation support
Litigation support
Adverse party discovery, witness vetting, asset-search leads, and impeachment ammunition for civil + criminal litigators. Citation-anchored, deposition-defensible.
Asset search
Asset search
Find what they own — entities, properties, vehicles, hidden affiliates — for collection actions, judgment enforcement, divorce discovery, and pre-litigation settlement leverage.
Insurance / SIU
Insurance claim investigation
Catch claim fraud before payout. Social-media surveillance, address history, cross-claim pattern detection, and court-ready evidence preservation for SIU teams.
Cyber IR
Cyber incident response
Attacker attribution, breach-victim notification context, dark-web exposure verification, and indicator pivoting for IR teams + MSSPs. Citation-anchored, fast.
Executive protection
Executive protection
Pre-event venue threat assessment, named-target social-media monitoring, doxx-exposure baseline, and travel security briefs for EP teams.
Real estate
Real-estate diligence
Counterparty + entity verification + sanctions screening + adverse-media checks for commercial real-estate transactions. AML-aware.
Brand protection
Brand protection
Surface lookalike domains, employee impersonation accounts, dark-web mentions of your brand + customer data exposure. Continuous monitoring with severity-graded alerts.
Crypto
Cryptocurrency investigations
Wallet attribution, transaction-counterparty diligence, exchange-account holder vetting, and dark-web exposure for crypto investigators + exchange compliance teams.