Hagerty Tech Stack
Specialty insurance platform for collector vehicles, motorcycles, and motorsports
Hagerty insures niche vehicle categories—collector cars, classic motorcycles, boats, and motorsports—where standard auto insurers don't compete. The tech stack reveals a data-driven, analytics-heavy operation: Python, R, scikit-learn, XGBoost, and PyTorch sit alongside Snowflake and Airflow, indicating active machine-learning work on underwriting, fraud detection, and partner segmentation. The project list (auction treasury operations, product launch across states, agency performance dashboards, fraud mitigation) and pain-point focus on automation, data gaps, and modernizing legacy systems suggest Hagerty is scaling horizontally—adding new product lines and geographies while wrestling with operational complexity typical of a public insurer managing distributed agency networks.
Tech Stack 36 technologies
What Hagerty Is Building
◆Challenges
- Improve agency and partner performance
- High volume
- Automation and process improvement
- Cross-border payments
- Fraud mitigation solutions
- Identifying data gaps
- Prevent errors in financial reporting
- Balancing supply and demand
- Modernizing legacy implementations
- Improve new business performance
▲Active Projects
- Live and online auction treasury operations
- Automation and process improvement in treasury
- Enterprise data roadmap
- Global cash management and daily treasury operations
- Product lifecycle management for personal auto programs
- Launch and scale insurance products across states
- Modernizing existing implementations
- Improving platform health
- Agent and partner segmentation models
- Agency performance dashboards
