The use case: how PayPal deploys H2O.ai
PayPal's data science teams use H2O Driverless AI for automated feature engineering and model training to detect fraud in real time, combining graph network features with expert-engineered features. They also use it to predict customer churn early enough to act.
More reported results
Figures published in H2O.ai’s case study. They are not independently measured by usedby.
running on an IBM Power GPU-based server let the team train the model six times faster than in a CPU environment
Model accuracy increased from 0.89 to 0.947
In the customer’s words
H2O Driverless AI gives amazing performance in terms of feature performance and also model performance.Other AI tools used by PayPal
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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 17, 2026
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- The figure: 6%Checked
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- PayPal uses H2O.aiChecked
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Using H2O Driverless AI, the PayPal team found significant new modelling features that raised model accuracy by almost 6% in a single test.