The use case: how Jewelers Mutual deploys H2O.ai
Jewelers Mutual, an insurer dedicated to jewelry, uses H2O Driverless AI and H2O-3 to build explainable machine learning models that give commercial underwriters reason-coded decisions through a web application. The models are deployed as MOJOs across a hybrid cloud environment and also help identify jewelry stores needing extra physical security during wildfires and power outages.
In the customer’s words
We chose H2O AI because it gave us the transparency we needed into our machine learning process, much more flexibility than the other tools we evaluated, and the strongest machine learning explainability capabilities on the market.H2O.ai users in Insurance & InsurTech
Companies in the same sector, with public evidence.
IFFCO-TokioConfirmed
NationwideConfirmed
ProgressiveConfirmed
State FarmObserved
Tokio MarineObserved
Zurich InsuranceObservedGo straight to the source
Based on H2O.ai’s published case study. We check the public evidence; the results are reported by the vendor.
h2o.ai- Last checked
- Oct 29, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Jewelers Mutual.
- The numbers in our summaryChecked
Each one is printed on the page.
- Jewelers Mutual uses H2O.aiChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
With explainable models in production, Jewelers Mutual offered more competitive jewelry protection rates and improved its overall business relationships with jeweler partners.
