Financial Services

Building an Insurance Market Intelligence Platform

French insurance data startup

A French startup needed to build a comprehensive database of insurance and brokerage companies. We delivered the full data stack: scraping agents, third-party API integrations, a central database, and a query API. The founder focused on sales and product while we handled everything data.

Industries Financial Services
Location France
0 → 1
complete data platform built
18 weeks
to production
Ongoing
partnership since 2024

The Challenge

The client was building a product that depended entirely on data they didn’t have yet. They needed a comprehensive, structured database of insurance and brokerage firms, pulled from scattered, unstructured sources across the web. As a startup, they had no data engineering team and a tight budget.

The client sells market intelligence to insurance companies and brokers: a searchable database of every actor in the French insurance, brokerage, and lending market. The product’s value depends on completeness and accuracy. But the data doesn’t exist in one place. It’s spread across regulatory registries, professional directories, company websites, and third-party data providers, each with different formats, access methods, and update frequencies. The client had a web developer for the front end but no capacity to build the data acquisition and processing pipeline. They needed someone to handle the entire backend: find the data, collect it, structure it, store it, and expose it through an API.

The client's product: a clean dashboard interface powered by the data infrastructure Stratalis built behind the scenes.

Our Approach

We built and operated the full data pipeline. Phase one (4 weeks) focused on scraping agents for the highest-value sources, handling anti-bot protections and unstructured data. Phase two (12 weeks) added the central database, API connectors to third-party data providers, additional scraping agents, and the query API that powers the client’s front end. Specifications were written in-house based on the client’s business requirements.

Unstructured data from multiple sources collected and normalized into a structured, queryable database.

What We Built

Web scraping agents

Custom agents collecting data from regulatory sites, professional directories, and company websites. Built to handle anti-scraping protections and unstructured page layouts.

Third-party API integrations

Connectors to external data providers, enriching the scraped data with additional company attributes and market signals.

Central database

A structured, deduplicated database of insurance market actors, designed for fast querying and continuous updates from all collection sources.

Query API

A production API that exposes the database to the client’s front-end application, supporting the search and filtering their customers rely on.

Results

The client launched their product on a complete, production-grade data backend without hiring a data engineering team. The founder was able to focus entirely on commercial development and the front-end product. The engagement expanded over time as new data sources and collection requirements emerged. Stratalis continues to operate and extend the platform.

Before & After

Metric Before After
Data engineering team None Full pipeline, outsourced
Data sources Scattered, manual Automated, multi-source
Time to market Blocked on data 18 weeks to production
Founder's time on data Primary bottleneck Zero

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