H2O.ai
H2O.ai offers software for generative and predictive AI, machine learning operations and AI app development.
What H2O.ai is
H2O.ai offers software for generative and predictive AI, machine learning operations and AI app development. Its H2O AI Cloud is an end-to-end platform for creating, deploying, monitoring and sharing models and applications, with automated machine learning for feature engineering, validation, selection and tuning. It combines automated machine learning and no-code deep learning engines, and can run as an H2O.ai-managed cloud service or be self-hosted in a private cloud or on-premises. The product portfolio also includes h2oGPTe for generative and predictive AI, private-data-grounded responses and agent features; H2O LLM Studio for no-code language-model fine-tuning; and H2O Wave, an open-source Python framework for interactive AI apps. H2O-3 is an Apache-licensed platform for Python and R. The platform supports SQL connections, natural-language queries, visualizations, team collaboration, and CSV and Parquet exports. It lists imports ranging from CSV and JSON to image, archive and spreadsheet formats. Pricing is available on request, although a free plan is listed. H2O.ai is based in Mountain View, California, and was founded in 2012.
Good
- Managed-cloud and self-hosted deployment options
- Automated feature engineering, validation and tuning
- Private-document and database grounded responses
- Apache-licensed machine-learning offerings
- CSV and Parquet exports
Watch out
- Pricing is available on request
- Named app integrations are not provided
Who it suits
H2O.ai describes its cloud platform as serving businesses, government entities, nonprofits and academic institutions. It may also suit teams seeking self-hosted deployment or open-source machine-learning tools.
Verdict
H2O.ai covers model development, deployment and monitoring alongside generative AI and app-building tools. Its deployment choices and broad portfolio may suit organizations with varied AI workflows; pricing requires an inquiry.
The facts
Each one read from H2O.ai's own pages, with the date it was checked.
What it does
- Agent capabilities
- h2oGPTe lists multimodal, code assistant, agentic AI, citation RAG, guardrails, and model routing features.checked 4 Oct 2026
- Audience
- H2O.ai describes H2O AI Cloud as serving businesses, government entities, nonprofits, and academic institutions.checked 5 Oct 2026
- AutoML
- Its automated machine learning supports feature engineering, validation, model selection, and tuning.checked 5 Oct 2026
- Compliance
- The H2O AI Cloud page states that H2O.ai achieved SOC 2 Type 2 and HIPAA/HITECH reports with unqualified status.checked 4 Oct 2026
- Deployment
- H2O AI Cloud is available as H2O.ai-managed cloud or as a self-hosted deployment in a private cloud or on-premises.checked 5 Oct 2026
- Deployment options
- H2O AI Cloud is available as H2O.ai managed cloud or self-hosted in a private cloud or on-premises.checked 4 Oct 2026
- Enterprise AI
- H2O AI Cloud combines automated machine learning and no-code deep learning engines.checked 4 Oct 2026
- Generative AI
- Paid subscription components include h2oGPTe for querying document collections, Document AI for processing unstructured documents, and Eval Studio for testing RAG and LLM models.checked 5 Oct 2026
- Integrations
- The AI App Store shares identity and storage with other H2O AI Hybrid Cloud components and integrates with H2O MLOps and AI Engines.checked 5 Oct 2026
- Model operations
- H2O MLOps supports model validation and performance monitoring after models are created.checked 5 Oct 2026
- Model tuning
- H2O LLM Studio provides a no-code framework for fine-tuning custom language models for enterprise applications.checked 4 Oct 2026
- Open source
- H2O-3 OSS is described as an Apache-licensed machine learning platform for Python and R.checked 4 Oct 2026
- Open-source offerings
- H2O Wave, H2O, and Sparkling Water are listed as Apache License 2.0 software on the downloads page.checked 5 Oct 2026
- Private data
- h2oGPTe supports grounded responses from private document repositories, knowledge bases, and databases.checked 4 Oct 2026
- Product
- H2O AI Cloud is an end-to-end platform for creating, deploying, monitoring, and sharing AI models and applications.checked 5 Oct 2026
- Security
- H2O says it maintains SOC 2 Type II certification and uses encryption at rest and in transit, role-based access controls, monitoring, audits, penetration testing, vulnerability scanning, and code reviews.checked 5 Oct 2026
- Support
- H2O.ai offers a support portal and says customers can connect with its experts for tailored enterprise support.checked 5 Oct 2026
- Supported infrastructure
- The platform lists support for Google Cloud Platform, Amazon Web Services, Microsoft Azure, and on-premises environments.checked 5 Oct 2026
Where it runs
- Agent platform
- h2oGPTe combines generative AI and predictive AI and offers air-gapped and on-premises deployment options.checked 4 Oct 2026
- AI platform
- H2O.ai offers products for generative AI, predictive AI, machine learning operations, and AI app development.checked 4 Oct 2026
- App development
- H2O Wave is an open-source Python framework for building interactive AI applications within H2O AI Cloud.checked 5 Oct 2026
The company
- Company history
- H2O.ai says it began as a group from the open-source community and has since become a global company.checked 4 Oct 2026
- Founded
- 2012checked 28 Sep 2026
- Headquarters
- Mountain View, California, United Stateschecked 28 Sep 2026
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