Case Study: Trupanion achieves 7-second claims approvals and automates 75,000+ claims with Domino Data Lab

A Domino Data Lab Case Study

Preview of the Trupanion Case Study

Revolutionizing the Pet Medical Insurance Industry by Processing Claims in Seconds

Trupanion is a Seattle-based pet medical insurer that partners with veterinary clinics to pay for eligible care at the point of service. Faced with legacy systems, highly variable clinic invoices, and a high daily volume of claims that previously required manual review, Trupanion needed a way to extract invoice data, map items to internal codes, and adjudicate coverage quickly while maintaining very high precision and recall.

By adopting Domino’s reproducible model-development platform, Trupanion built an automated claims pipeline that integrates clinical rules and machine learning models via APIs, enabling real-time decisions at the point of care. The solution delivers approvals in about 7 seconds, has automated more than 75,000 claims with roughly 95% accuracy, and has improved operational efficiency and faster, more predictable payments for clinics and pet owners.


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Trupanion

David Jaw

Director of Data Science


Domino Data Lab

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