H2O.ai
AI and machine learning platform
- Data & analytics · editorial fit
Overview
H2O.ai’s current commercial product is a sovereign AI platform for developing and running predictive, generative, and agentic AI on infrastructure controlled by the customer. It is designed for organizations that need to keep models, data, agents, and outputs within cloud, on-premises, hybrid, or fully air-gapped environments.
The platform brings model development, orchestration, deployment, and governance into one enterprise system. The H2O.ai company also maintains separate open-source projects, but the official current platform page does not make the entire sovereign platform an open-source product, so this directory record keeps that field unknown.
Supported use cases
Deploy AI with strict data control
Run models or agents where data residency and infrastructure ownership are core requirements.
Consolidate AI workloads
Operate predictive models, generative applications, and agents through one platform.
Move an internal AI system to production
Develop, deploy, and govern a workload without sending the organization’s data to an uncontrolled environment.
Key capabilities
Predictive, generative, and agentic AI
Supports multiple AI workload types within one production platform.
Sovereign deployment
Runs on customer-controlled infrastructure from cloud environments to fully air-gapped installations.
Agent and model orchestration
Coordinates models, tools, data, and agents while keeping deployment and operational control together.
Enterprise lifecycle management
Supports the path from development into governed production use.
Related tools
An AI-powered Tableau experience for personalized insights and guided exploration.
