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The leading AutoML platform that automates feature engineering, model selection, and tuning, and documents every model as it trains.
Each one was a bottleneck for a data science team. Each one is now a checkbox.
Fed by the Feature Store. Served through MLOps. Driven by the Data Science Agent. Highlighted is Driverless AI.
Ask the H2O AI Super Agent to build a model and its Data Science Agent plans the experiment, runs Driverless AI, reads the leaderboard, and returns the AutoDoc. The engine that has cleared model risk review for a decade is what the agent operates.
Same platform either way: the same capabilities, the same governance, and the same audit trail. The choice stays open, so you can switch between them as the business changes, without rebuilding what runs on top.
We will run it through Driverless AI with you and hand your model risk team the AutoDoc the same day.
The H2O AI Cloud for Government has achieved FedRAMP High Certification, delivering the highest standard of cloud security so federal agencies can harness predictive and generative AI without compromising data sovereignty or compliance.
Driverless AI automates six stages. They are AutoViz (data visualization), feature engineering by evolutionary search, model selection and hyperparameter tuning with ensembling on GPU, AutoDoc (model documentation), AutoMLI (interpretability: K-LIME, Shapley, surrogate trees, disparate impact, reason codes), and scoring pipelines in Python and Java MOJO.
