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Insurance

Claims that happen where they would.

Generate policyholders, policies, vehicles and claims where perils match regions, lifecycles move in order and reserves and payments behave like a real book.

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An auto claims book after a stormy season: example spreadsheet in a Mac window (auto_claims_2026.xlsx)
The example

An auto claims book after a stormy season

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

Built for Insurance teams

01

Correlated perils

Hail, flood, theft and collision distributed by region and season.

02

Claim lifecycles

Filed, under review, adjuster assigned, approved, paid or denied, in a realistic order.

03

Policy schemas

Policyholders with several vehicles and policies, and cascading claim histories.

04

Actuarial-style numbers

Severity and frequency distributions instead of uniform amounts.

How it works

From idea to dataset in three steps

1

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

2

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

3

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I generate life or property insurance too?

Yes. Describe the lines of business and the generator builds matching policies and claims.

Are VINs valid?

They follow the VIN structure and look real, but are synthetic and don't identify real vehicles.

Can I add adjuster notes?

Yes. Mark the notes field as AI Generated and each note is written for its claim.

Build your own version of this example

Describe your tables or upload your schema. The free trial needs no credit card.

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