The use case: how Vision Banco deploys H2O.ai
Vision Banco uses H2O Driverless AI to automate building predictive models for credit risk scoring, default prediction and propensity to buy. Models are deployed as MOJO scoring pipelines instead of PMML, running on an IBM Power System AC922.
In the customer’s words
With Driverless AI we save a lot of time, because we accelerate building predictive models with better accuracy. It used to take on average six months or more just to build the models. Now it is done in less than a week.H2O.ai users in Banking & Mortgages
Companies in the same sector, with public evidence.
Capital OneConfirmed
Commonwealth BankConfirmed
INGConfirmed
Wells FargoConfirmed
AkbankObserved
CitiObservedGo 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 9, 2026
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- Vision Banco uses H2O.aiChecked
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Model build time dropped from six months or more to under a week. More accurate credit risk models let the bank target offers better, which it estimates is worth millions in additional revenue.