About
H2O Driverless AI is an automated machine learning platform that uses AI to make AI. It automates the entire feature engineering process, including detecting relevant features and finding interactions within datasets. The platform provides automated model development, machine learning interpretability, and a comprehensive explainability toolkit. It includes an AI Wizard that investigates data and provides recommendations based on business requirements. Users can ingest data from sources including Hadoop HDFS and Amazon S3, automatically transform data with advanced feature engineering, build models with automated machine learning, validate model robustness, and deploy models across multiple environments including REST endpoints, cloud services, or Java code for edge devices.
Read from h2o.ai on 2026-08-26. We describe what the vendor states; we do not audit it.
Enterprise Readiness
from cataloged dataNo compliance certifications listed
Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted
8 documented integrations
6 documented use cases
Company maturity not disclosed
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How H2O Driverless AI compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| H2O Driverless AI | 58 · Established | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Celonis Process Intelligence | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| Dataiku DSS | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| DataBricks AutoML | 68 · Strong | Enterprise | Cloud, Hybrid, Self-Hosted | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is H2O Driverless AI used for?
H2O Driverless AI is automated machine learning platform for democratizing AI. It is commonly used for customer churn prediction, fraud detection, predictive maintenance, and risk scoring.
Is H2O Driverless AI free, and how is it priced?
H2O Driverless AI uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.
How can H2O Driverless AI be deployed?
H2O Driverless AI supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does H2O Driverless AI integrate with?
H2O Driverless AI documents 8 integrations, including AWS, Azure, Google Cloud, Databricks, Snowflake, and Kubernetes.
Is H2O Driverless AI enterprise-ready?
Based on cataloged data, H2O Driverless AI has an Enterprise Readiness score of 58/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
Procurement
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