Five Claims, One Claimant
Repeat and organized claims fraud relies on the same people and providers appearing under slightly different details across policies, lines of business and years. Each claim is assessed on its own, so the pattern behind them is never seen.
Three unrelated claims. In reality, one claimant using the same clinic and bank account.
Claims Are Assessed One At A Time
Claims systems are usually organized by line of business and policy. A claimant’s auto, home and travel claims live in different systems, keyed by different policy numbers, with the name and address typed again each time.
Organized fraud uses that separation. The same people claim across lines, the same clinic or repair shop appears under slightly different names, and the same bank account receives payouts for claimants who appear unrelated.
Rules that look for repeat claimants on exact name or policy number see none of this. Special investigation units find the pattern later, if at all, by joining records by hand.
Repeat Claimants
The same person claims across policies and lines under small name changes.
Recurring Providers
Clinics, garages and contractors appear under several names and addresses.
Shared Payout Accounts
Payments to apparently unrelated claimants land in the same account.
Resolve Claimants And Providers Across Lines
Resolve claimants, providers and payees across every line of business into stable entities, using names, addresses, contact details and bank accounts together, with matching that tolerates the variations people type in.
Then assess each new claim against the full history of the entities involved. Repeat claimants, recurring providers and shared accounts become features your fraud models and investigators can use at first notice of loss.
Claim history, providers and payout accounts are now reviewed together.
One View Per Claimant
Every claim a person has made, across lines and years, in one place.
Providers Resolved Too
Clinics, garages and contractors resolve to one entity each.
Links Across Parties
Shared accounts and addresses connect claimants and providers.
The Identity Layer Under Financial Crime
Zingg runs as a workload inside your data platform and gives every entity one persistent ZINGG_ID. Everything above it reads the same resolved entities.
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Resolve Every Party Behind A Claim
Any Entity Type
Claimants, providers, payees and vehicles each resolve with a model trained on your data.
A ZINGG_ID Per Party
Each party keeps a persistent ZINGG_ID your fraud models can use.
New Claims Matched Quickly
The incremental flow resolves new claims against existing parties without a full rerun.
Evidence For SIU
Investigators see which details linked two parties. Explainability
Claims Fraud Questions
How does entity resolution help with claims fraud?
It links claimants, providers and payees across policies and lines of business, so repeat claimants and organized networks become visible instead of looking like unrelated claims.
Does Zingg score claims for fraud?
No. Zingg resolves the parties and gives each a ZINGG_ID. Your fraud models, rules and investigators use those resolved parties.
Can we resolve providers as well as people?
Yes. Zingg can resolve any entity type, including clinics, repair shops and other providers, using a model trained on your data.
Where does the data stay?
In your own data platform. Zingg runs on Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS.
See Who Is Behind Each Claim
Resolve claimants, providers and payees in your own data platform.