H2O.ai
To democratize AI for everyone, empowering organizations to build, deploy, and manage AI models rapidly to solve complex problems.
At a Glance
- Financial Services
- Insurance
- Healthcare
- Manufacturing
- +3 more
AI Tools by H2O.ai
(1)H2O AI Cloud
Enterprise AutoML and AI Platform
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Latest News
H2O.ai Appoints Jason Finney as President and Chief Revenue Officer
H2O.ai Celebrates Global Leaders Driving AI in AI 100 List
H2O.ai Recognized as a Visionary in 2024 Gartner Magic Quadrant for Cloud AI Developer Services
H2O.ai Launches H2O LLM Studio to Democratize Large Language Models
Products & Services
Core open-source, distributed, scalable machine learning platform supporting popular algorithms like GBM, Random Forest, and Deep Learning.
Flagship AutoML platform that automates feature engineering, model selection, tuning, and pipeline generation.
Comprehensive platform that brings together all H2O products to help organizations build, deploy, and manage AI models and apps.
A no-code GUI for fine-tuning large language models with a focus on performance and ease of use.
Market Position
Leading visionary in Automated Machine Learning (AutoML) and open-source AI, competing with enterprise AI platforms like DataRobot, Google Vertex AI, and AWS SageMaker by focusing on democratizing tools and high accuracy.
Leadership
Founders
Sri Satish Ambati
Co-founder of Platfora (acquired by Workday), former Director of Engineering at DataStax and Azul Systems. Sabbaticals at Stanford and UC Berkeley in Theoretical Neuroscience.
Cliff Click
Former CTO of Azul Systems and Distinguished Engineer at Sun Microsystems. Creator of the HotSpot Server Compiler.
Executive Team
Sri Satish Ambati
Founder & CEO
Serial entrepreneur with background in big data (Platfora, DataStax) and neuroscience.
Jason Finney
President and Chief Revenue Officer
Appointed in Nov 2025 to scale global growth in agentic and secure AI.
Board of Directors
Founding Story
Founded by Sri Ambati and Cliff Click with the vision that algorithms and AI should be accessible to all organizations, not just tech giants. They started with an open-source core (H2O) to build a community-driven AI movement.
Business Model
Revenue Model
Freemium/Open-Core and Enterprise Subscription. Revenue generated through enterprise licenses for H2O AI Cloud, Driverless AI, and premium support/services.
Pricing Tiers
Distributed machine learning core available via GitHub.
Managed and self-managed enterprise options for the full AI lifecycle platform.
Consumption-based or subscription pricing for managed cloud deployments.
Target Markets
- Financial Services
- Insurance
- Healthcare
- Manufacturing
- Retail
- Telecommunications
- Fraud Detection
- Customer Churn Prediction
- Credit Scoring
- Insurance Claims Optimization
- Manufacturing Yield Prediction
- Medical Eligibility Prediction
- AT&T
- PayPal
- Commonwealth Bank of Australia
- Wells Fargo