H2O.ai

About H2O.ai

Financials

Dated, source-cited figures. Estimates are marked.

Products by H2O.ai

All products by H2O.ai reviewed by our AI panel of experts.

H2O.aiMachine Learning Platforms

Enterprise AI platform for on-premise, air-gapped deployment

Pricing on request7.9/10

How Our Review Panel Scores H2O.ai

Six independent reviewer personalities assessed H2O.ai's product on their own terms. They disagreed by 1.0 points — The Finance Lead was the hardest to convince, The Domain Strategist the most positive.

Averaged across 1 reviewed product in our catalog. Scores are out of 10.

Competitive Landscape

Who H2O.ai competes with, and how they differ.

Dataiku7.8/10

Dataiku is a full no-code/low-code data science platform aimed at business analysts as well as data scientists, while H2O.ai leans on its open-source AutoML core (H2O, Driverless AI) and now open-source LLM tooling as the on-ramp to enterprise sales.

1 product reviewed on TopReviewed

Google Cloud7.8/10

Google Cloud's Vertex AI is a fully managed hyperscaler ML platform bundled with Google's broader cloud infrastructure and foundation models, whereas H2O.ai sells a deployable, cloud-agnostic AutoML and generative AI stack that can run on-prem for regulated industries like banking and insurance.

2 products reviewed on TopReviewed

IBM7.7/10

IBM Watson Studio is sold as part of IBM's broader enterprise software and consulting stack with long-standing regulated-industry relationships, while H2O.ai competes on a leaner, open-source-first platform and a research-driven AutoML pedigree.

1 product reviewed on TopReviewed

W&B8.0/10

Weights & Biases focuses on experiment tracking, model evaluation and MLOps observability for ML/LLM teams, a narrower slice than H2O.ai's end-to-end AutoML-to-generative-AI platform, though the two overlap in the model development workflow.

1 product reviewed on TopReviewed

ClearML7.8/10

ClearML is an open-source-first MLOps platform emphasizing experiment orchestration and pipeline automation; H2O.ai overlaps in the open-source ML tooling space but pushes further into automated model building (AutoML) and, more recently, agentic AI products.

1 product reviewed on TopReviewed

Company Timeline

Key milestones in H2O.ai's history, with sources.

1. May 11, 2023Launch

   H2O.ai launches h2oGPT and LLM Studio

   H2O.ai launched two open-source generative AI products — h2oGPT, its own open-source LLM, and LLM Studio, a no-code fine-tuning framework — letting enterprises build their own chatbot applications without sending data to closed third-party model providers.

   venturebeat.com
2. Nov 8, 2021Funding

   Series E — $100M led by Commonwealth Bank of Australia, $1.7B valuation

   H2O.ai closed $100 million in Series E funding led by customer Commonwealth Bank of Australia, with Pivot Investment Partners, Goldman Sachs Asset Management and Crane Venture Partners participating, valuing the company at $1.7 billion with total funding raised over $250 million.

   h2o.ai
3. Aug 20, 2019Funding

   Series D — $72.5M led by Goldman Sachs and Ping An

   H2O.ai raised $72.5 million in a Series D round led by Goldman Sachs and Ping An Global Voyager Fund, with participation from Wells Fargo, NVIDIA and Nexus Venture Partners, bringing total funding to $147 million.

   h2o.ai
4. Jul 6, 2017Launch

   H2O.ai launches Driverless AI

   H2O.ai announced Driverless AI, an automated machine learning product that automates data exploration, feature engineering, model selection, and tuning to lower the barrier to enterprise data science.

   techcrunch.com
5. 2012Founded

   H2O.ai founded by Sri Ambati

   Sri Ambati founded H2O.ai in Mountain View, California, with a mission to democratize AI, starting with an open-source machine learning platform, H2O.

   h2o.ai