H2O.ai
Enterprise AI platform with open source roots, AutoML, MLOps, and private GenAI options for on premises or cloud VPC deployments.
Overview
ai provides an end to end stack for predictive and generative AI across regulated industries. The portfolio includes open source H2O libraries, H2O Driverless AI for AutoML with explainability, H2O LLM Studio for prompt and fine tuning workflows, and deployment choices that meet strict security policies. Organizations can run air gapped on premises or in a private cloud VPC, connect to governed data sources, and manage the full lifecycle from feature engineering to monitoring.
Driverless AI automates model search, feature creation, validation, and documentation, while H2O MLOps standardizes deployment and drift tracking. For GenAI, customers can build domain specific assistants under their own data controls. The combination of software, know how, and delivery options appeals to enterprises needing flexibility and compliance without being locked into a single cloud.
Key features
- Driverless AI AutoML with explainability
- LLM Studio for prompt and tuning workflows
- Air gapped on prem and private cloud options
- MLOps for deployment and monitoring
- Feature engineering and model documentation
- Integration with governed data sources
- Security and access controls for compliance
- Global services and community support
Best for
- Automate model development with AutoML
- Deploy models behind firewalls in VPCs
- Build domain assistants with private data
- Track drift and retrain with MLOps
- Document models for audit readiness
- Enable citizen data science at scale
- Standardize deployment across teams
- Support hybrid cloud strategies
Capabilities
Driverless AI
Accelerate feature creation model search validation and documentation with rich explainability.
MLOps and governance
Ship models with monitoring drift alerts and access controls aligned to policy.
Private GenAI
Create assistants and workflows on owned data without sending prompts to public endpoints.
Air gapped options
Meet regulatory needs with on premises or VPC deployments under full control.
Frequently Asked Questions
Is there a free option?
Yes, H2O open source libraries are free, enterprise products like Driverless AI are sold by quote with trials available.
Can we deploy fully offline?
H2O supports air gapped on premises deployments for regulated customers.
Does H2O cover GenAI and classical ML?
Yes, the platform spans predictive ML and GenAI with shared governance and MLOps.
What is Driverless AI used for?
Automated feature engineering model search validation explainability and documentation.
Do you offer services and training?
H2O provides global services education and community programs to accelerate adoption.
