Fusionbase
External data hub for insurance data enrichment, underwriting automation, and risk model integration
Overview
Fusionbase is an external data enrichment platform for insurance carriers, data science teams, and enterprise analytics functions. A spin-off of the Technical University of Munich, the company aggregates thousands of external datasets from government agencies, NGOs, universities, and vetted data vendors and delivers them through a single REST API interface. Insurance use cases include underwriting automation, risk model enrichment, and claims data validation.
The platform uses a virtualization architecture that provides zero-copy, storage-agnostic data access to streams covering socio-demographics, company master data, natural disaster records, crime statistics, weather patterns, and mobility data. A proprietary entity matching engine resolves and merges records about the same entity across multiple sources at query time, giving analysts a unified view without manual data preparation.
Fusionbase serves German P&C carriers including Generali Deutschland, Gothaer Allgemeine Versicherung, Nurnberger Versicherung, and Munchener Verein. At Generali Deutschland the platform achieved a 75% automation rate for industry classification. The company participates in the InsurLab Germany accelerator (Batch #22) and is a member of the InsurTech Hub Munich ecosystem.
Products & Services
Fusionbase Data Hub
A virtualization platform that aggregates and serves thousands of external data streams through a single REST API. The hub normalizes data from public and commercial sources into machine-readable formats, enabling data teams to discover, access, and integrate external datasets without building individual pipelines.
Key Features
- Zero-copy, storage-agnostic data access with fast querying and catalog search
- Proprietary entity matching that merges records across sources at query time
- Coverage across socio-demographics, company data, natural disasters, crime, weather, and mobility
- REST API with standardized response formats for downstream analytics integration
- Industry classification and tariff characteristic extraction for commercial insurance underwriting
Target Users: Data scientists and analysts at insurance carriers; enterprise risk and analytics teams
At a Glance
- Founded
- 2019
- Headquarters
- Munich, Germany
- Employees
- 1-10
- Funding
- Bootstrapped
Category & Focus
- Category
- Underwriting & Risk
- Subcategories
- Data enrichment external data integration risk scoring underwriting automation
- Insurance Verticals
- P&C Commercial Specialty/E&S
- Target Customers
- Carriers
Customers
- Generali Deutschland -- 75% automation rate for industry classification
- Gothaer Allgemeine Versicherung -- auto-populates insurance quotes with pricing characteristics (in collaboration with SAS)
- Nurnberger Versicherung
- Munchener Verein
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Last updated: 2026-06-08