H2O AI

H2O.ai builds machine learning and generative AI software that organizations run on their own infrastructure. Its best known product is H2O, an open source distributed machine learning library for Python and R released under the Apache license, and around it the company sells a suite of enterprise tools for automated machine learning, language models, agents and model operations. The stated positioning is the convergence of predictive and generative AI for private, protected data. It is built for regulated industries: banks, insurers, telecommunications carriers, healthcare providers and public sector bodies including US federal agencies. Named products include H2O Driverless AI for automated feature engineering and model building; Enterprise h2oGPTe, a generative AI environment with multi model support, cost controls and application integration; H2O LLM Studio for no code fine tuning of language models; H2O Hydrogen Torch for deep learning on images, text and time series; H2O MLOps for deployment and monitoring; H2O Feature Store; H2O Wave for building Python applications; and the H2O AI Super Agent platform that combines the predictive and generative pieces. Smaller models such as H2O Danube3 and H2OVL Mississippi are published for teams who want to run their own. Deployment options include air gapped and on premises installs, private cloud VPCs, AWS, Azure and Google Cloud, with FedRAMP options for government. H2O.ai publishes no prices. The open source H2O library is free to use; H2O Secure, the supported production version, and the rest of the enterprise suite are licensed through sales, and the site contains no plan names or amounts. Buyers should be clear which H2O they mean: the free library is mature and widely used, while the enterprise products are separate commercial offerings with their own licenses.