The use case: how Nationwide deploys H2O.ai
Nationwide's centralized data science team built a patented Model Factory on H2O-3 and H2O Driverless AI to monitor all AI and ML models across the business. The models cover areas such as churn, retention, call routing, risk segmentation, fraud, underwriting, and Customer 360.
In the customer’s words
H2O.ai gives us the power and flexibility to solve business problems with machine learning. We can quickly build stable, statistically unbiased models we trust in production, and do more with less.Other AI tools used by Nationwide
Other public relationships recorded on usedby.
Explore Nationwide’s AI stack
H2O.ai users in Insurance & InsurTech
Companies in the same sector, with public evidence.
IFFCO-TokioConfirmed
Jewelers MutualConfirmed
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
- Nov 4, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 25 billionChecked
Printed word for word on the page, near the name of Nationwide.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Nationwide.
- The numbers in our summaryChecked
Each one is printed on the page.
- Nationwide uses H2O.aiChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
The team has scored 25 billion models spanning churn, retention, call routing, risk segmentation, fraud, underwriting, and Customer 360, giving Nationwide stable, statistically unbiased models it can trust in production.