Visual data transformer for insurtech legacy schemas.
Enterprise insurtech teams suffer massive delays and ballooning costs integrating modern tech stacks into legacy insurance systems.
PolicyMapper lets teams visually map and transform complex insurance data from legacy formats to JSON/GraphQL without code. It handles ACORD XML, policy hierarchies, and validation rules automatically. Deploy as serverless functions to cut integration costs by 70% and time from weeks to hours.
Enterprise teams in insurtech companies
AI-assisted mapping suggestions trained on 10k+ insurance schemas for 90% auto-match accuracy.
supportive
Upload legacy schema, see interactive graph of fields/relations.
Link legacy fields to modern outputs with type coercion.
One-click suggest mappings using insurance ML model.
Test mappings live with sample data.
Generate Next.js/Supabase-ready serverless code.
Git-like history for mappings.
Run schema validations on bulk data.
Share and comment on mappings.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| name | text | No |
| legacy_schema | jsonb | No |
| mappings_data | jsonb | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| mapping_id | uuid | No |
| input_data | jsonb | No |
| output | jsonb | Yes |
| passed | bool | No |
Relationships:
/api/mappingsList mappings
/api/mappingsCreate mapping with schema
/api/mappings/:id/auto-mapRun AI auto-map
/api/mappings/:id/testRun test
/api/mappings/:id/exportDownload code
No exports
50 tests/mo
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 15 | 15% | $65 | $780 |
| Month 6 | 120 | 20% | $580 | $6,960 |
AI-powered transformers to modern in hours.
Run targeted LinkedIn ads to 'insurtech engineer' titles with free schema upload tool; share demo video in Insurtech Twitter spaces; email 100 from insurtech job boards offering beta access.
ETL power
No visual AI for insurance
Insurtech-focused, instant exports, affordable
ML models trained on insurance data, improving with user mappings for network effects.
Rise of composable insurtech stacks needing quick data portability post-2023 rate hikes.
AI mapping accuracy dips on rare schemas
Fallback manual + user feedback loop
Success: 80% auto-match
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