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Insurtech

A rescue, and a shipping product

A cartographic application for insurance agents, inherited with more than fifty critical bugs and a budget nearly gone. We fixed the structural causes and deployed it — because the previous team never had.

Client

An insurtech startup

50+

critical bugs cleared to a shipping MVP

A rescue, and a shipping product — Insurtech

The challenge

What was in the way

A San Francisco startup had a core product — a cartographic web application letting insurance agents pull historical and statistical data on any farm — built by a previous team and left with more than fifty critical bugs.

It did not run. The budget was nearly gone. Without a working MVP there was no funding round and no company.

The solution

What we built

A rescue. We took the full codebase and database, worked through every failure systematically, partially redesigned the schema where the structure itself was the bug, corrected the business logic, and cleared the frontend.

We added the features needed to demo, and deployed it — because the previous team never had.

The application handles interactive field mapping, land-to-farm and land-to-corporation assignment, public-land-survey lookups, and weather and crop-risk overlays, with PostGIS carrying the geospatial queries.

Key technologies

Codebase
Python, React
Data
PostgreSQL with PostGIS
Mapping
MapLibre GL, Mapbox, real-time collaboration

Impact & results

01

The company survived

The intervention preserved the investment already spent.

02

Broken prototype to demonstrable MVP

In a compressed timeline, ready for funders and first customers.

03

50+ critical bugs cleared

With structural causes fixed rather than patched.

Next project

Documenting the undocumentable

Start here

Start with a problem, not a brief.

Tell us what is slow, what is manual, what is stalled, or what nobody understands any more. We will tell you honestly whether it is worth building.

Start a conversationinfo@databadger.ai
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