H2O AI Hybrid Cloud is an end-to-end platform that enables organizations to rapidly build world-class AI models and applications. There are no user limitations, empowering everyone in the organization to innovate and use AI to make better decisions, streamline operations, reduce risk, and personalize customer experiences. Explainer video (1:33).


Full suite of data preparation, data engineering, data labeling, and automatic feature engineering tools to accelerate time to insight.


Award-winning Automatic Machine Learning (AutoML) technology to solve the most challenging problems, including Time Series and Natural Language Processing.


Industry-leading toolkit of explainable and responsible AI methods to combat bias and increase transparency into machine learning models.


Deploy models in any environment and enable drift detection, automatic retraining, custom alerts, and real-time monitoring.


H2O Wave enables fast development of AI applications through an open-source, light-weight Python development framework.


H2O AI Hybrid Cloud enables data science teams to quickly share their applications with team members and business users, encouraging company-wide adoption.

Rapidly Make World-Class AI Models and Apps

H2O AI Hybrid Cloud provides automation capabilities in every step of the data science lifecycle including data visualization, feature engineering, algorithm selection and hyper-parameter tuning. Our AutoML was designed and built by Kaggle Grandmasters, the top data scientists in the world, enabling both novices and experts to rapidly make highly accurate and robust models. H2O’s AutoML supports tabular, time series, text, audio, image, and video data from one platform.

“With H2O we are able to build many models in a much shorter period of time.”

Pawan Divakarla, Data and Analytics Business Leader

Make AI Models the Business Trusts

H2O AI Hybrid Cloud produces over a dozen analyses to help organizations validate models, remove bias, and interpret the results. The user interface provides sophisticated visuals to help customers explore the results. Additionally, H2O provides Automatic Model Documentation, providing detailed and shareable insights about the trained model. H2O’s explainability capabilities help customers meet the stringent requirements of the world’s leading banks and insurers.

“In a regulated industry such as banking, the ability to explain what a model does is an absolute requirement. H2O.ai by far has the most sophisticated and complete tools to address these critical requirements for data scientists today.”

Agus Sudjianto, EVP and Head of Corporate Model Risk

Connect Anything, Deploy Anywhere

H2O AI Hybrid Cloud is an open platform, deployed with Kubernetes that allows customers to run in any cloud or on-premises infrastructure. Models (MOJOs) deployed with the platform run anywhere, including virtual machines, Snowflake, and IOT devices. We provide over 200 data connectors, over 180 open-source Python scripts (recipes), and allow customers to use their own libraries, custom algorithms, model transformers, measures, and scorers of choice. H2O AI Hybrid Cloud offers REST APIs for integration with other technology. H2O open source can be completely customized to meet customer needs.

Run Fast and Scale Out

H2O AI Hybrid Cloud rapidly and efficiently trains models on both purpose-built and commodity hardware. We provide highly optimized processing for both CPUs and GPUs and distributed processing for terabyte-sized datasets. Additionally, H2O models (MOJOs) produce scores with sub-millisecond latency.

“With H2O we saw how faster processing and faster access to data can help us and that we don’t need to sample anymore.”

Taposh Dutta Roy, Health Data Project Lead

Put AI Applications in the Hands of Business Users

H2O Wave is an open source lightweight Python development framework that makes it easy for developers, data scientists, and machine learning engineers to make sophisticated AI applications. Wave is integrated with H2O AI Hybrid Cloud, enabling AI applications built with Wave to be rapidly deployed and hosted in an AppStore for business users to consume.

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