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H2O.ai

Open SourceFunded

Enterprise AI platform combining predictive and generative AI for private data

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About H2O.ai

H2O.ai delivers an enterprise-grade AI platform that integrates predictive analytics and generative AI capabilities, designed specifically for secure, private data environments. The platform supports a broad range of AI workloads including automated machine learning, deep learning, and large language model training and fine-tuning, enabling organizations to accelerate model development and deployment with explainability and operational controls. It caters primarily to large enterprises in regulated industries such as financial services, telecommunications, and the public sector, where data privacy and security are paramount.

The platform offers no-code and low-code tools for data scientists, developers, and business users, facilitating faster AI adoption and operationalization. Key features include an AutoML engine, enterprise-grade MLOps for lifecycle management, AI-powered data labeling, and a marketplace of prebuilt AI applications. H2O.ai’s solutions enable enterprises to transition from AI pilots to production at scale, delivering measurable business outcomes such as fraud reduction, operational cost savings, and enhanced customer engagement. The company supports deployment flexibility with SaaS offerings and secure on-premises options, including air-gapped environments to meet stringent compliance requirements.

Key Capabilities

  • Automated machine learning with explainability
  • Enterprise-grade MLOps for model lifecycle management
  • No-code training and fine-tuning of large language models
  • AI-powered data labeling and feature engineering
  • Prebuilt industry-specific generative AI applications

Integrations

PythonRApache Spark

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

h2o.ai
CategoryData & Analytics
SubcategoryData Science Platforms
PricingSubscription
DeploymentSaaS, On-Premises, Hybrid
Target SizeEnterprise