H2O.ai

New

The Trusted Sovereign AI Platform

MLOps PlatformsMountain View, California, United States201–500 employeesFounded 2012

#27 of 61 in MLOps Platforms20,000 customers (per linkedin.com)29% positive in AI answers

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Visibility score

2.2%

New vs last week

Weekly run · Nov 2

Data collected Nov 2, 2026·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run Nov 9, 2026

H2O.ai ranks #27 of 61 in MLOps Platforms with an AI visibility score of 2.2 (SlateIndex, Nov 2, 2026).
H2O.ai is most visible on ChatGPT (2.8) and least on Perplexity (1.9).
AI engines name H2O.ai in 6 of the 60 MLOps Platforms buyer prompts SlateIndex tracks.
databricks.com is the source AI engines cite most in answers about H2O.ai, with 4 citations.

About

Company details for H2O.ai

H2O AI Cloud is a platform for building, deploying, governing and running predictive, generative and agentic AI on infrastructure the customer controls, from on-premises and private cloud to fully air-gapped environments. It bundles products such as H2O-3, Driverless AI, h2oGPTe and H2O MLOps, with the H2O AI Super Agent orchestrating them. Governance, audit trails and human-in-the-loop controls are part of the platform. The vendor states that it is licensed annually on compute and memory rather than per token. It ranks #27 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 2.2 in the latest weekly run.

Founded in 2012 and headquartered in Mountain View, California, United States, the company employs 201–500 people. It has raised about $250M. Its differentiator: the H2O AI Super Agent orchestrates predictive, generative, agentic AI and observability as one system, and it can run fully air-gapped.

Website: h2o.ai
Categories: MLOps Platforms, AI Agents
Company size: 201–500 employees
Headquarters: Mountain View, California, United States
Founded: 2012
Company type: Private, venture-backed
Funding: Series E · $250M raised
Customers: 20,000 · per linkedin.com/company/h2oai
Deployment: On-premises, fully air-gapped, private cloud, or public cloud
Compliance: SOC 2 Type II, HIPAA, FedRAMP High
Support: Forward Deployed Engineers embedded on-site

GitHub · github.com/h2oai X · x.com/h2oai LinkedIn · linkedin.com/company/h2oai YouTube · youtube.com/user/0xdata

Read from linkedin.com, g2.com, github.com, h2o.ai, tracxn.com, finance.yahoo.com · refreshed Nov 2, 2026.

AI visibility

Latest weekly run · Nov 2 · next run Nov 9

Visibility score

2.2%

across MLOps Platforms answers, weighted by position

ChatGPT2.8%

AI Mode1.9%

Perplexity1.9%

Change

New

vs last week’s run

Category rank

#27 of 61

in MLOps Platforms

Mentions

in this week’s run

Share of voice

of AI mentions in MLOps Platforms

Visibility score trend

Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.

Now2.2%

30-day change—

High · low2.2% · 2.2%

Rank#27

Compare in

Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.

Media

Website and product screenshots for H2O.ai

All media

Home page

Pricing page

AI mentions & citations

Recent answers that name H2O.ai

All prompts

Official website of the top MLOps platform vendors

H2O.ai – Drive enterprise AI and automated machine learning via the H2O.ai Official Website.

Google AI Mode · run of Nov 2

Official website of the top MLOps platform vendors

Perplexity · run of Nov 2

Best MLOps platform for enterprise

ChatGPT · run of Nov 2

Official website of the top MLOps platform vendors

Enterprise end-to-end MLOps: Databricks, DataRobot, Dataiku, Domino Data Lab, H2O.ai.

ChatGPT · run of Nov 2

What are the best MLOps Platforms tools in 2026?

H2O.ai : Continues to be a go-to platform for automated machine learning (AutoML), robust enterprise modeling, and rapid deployment.

Google AI Mode · run of Nov 2

Compare the leading MLOps Platforms platforms

Perplexity · run of Nov 2

Which MLOps Platforms vendors do analysts recommend?

ChatGPT · run of Nov 2

Products & features

What H2O.ai sells

h2oGPTe

Agentic RAG system that ships the H2O AI Super Agent.

H2O-3

Open-source machine learning platform with an enterprise layer.

H2O Cascade

Frontier generative AI capability deployed into a model the customer owns.

H2O Danube and H2O Mississippi

Small open-weight models that customers can own.

H2O Document AI

Document processing with models that learn the document structure.

H2O Driverless AI

Automated machine learning engine for predictive AI.

H2O eScorer

Scores models where the customer's data already lives.

H2O Eval Studio

Evaluation of AI systems with human calibration of the pass bar.

H2O Feature Store

Feature management for offline model building and online serving.

H2O Hydrogen Torch

Automated deep learning for unstructured data.

H2O Lightning

Generative and predictive AI deployable on the customer's own GPUs.

H2O MLOps

Deploys, monitors and governs models in production.

Strengths engines cite

Explainable, open-source-driven predictive and agentic tooling
Go-to platform for automated machine learning (AutoML)
Robust enterprise modeling and rapid deployment
Listed among enterprise end-to-end MLOps platforms

Target market & buyers

Financial services, the public sector, healthcare and telecom organizations.

Notable customers include AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, PayPal, Capital One.

Industry	Primary use case
Financial services	Fraud, risk and customer intelligence across banking, capital markets and insurance.
Public sector and US federal	Air-gapped, FedRAMP High AI for agencies that cannot let data leave their environment.
Healthcare	HIPAA-compliant predictive and generative AI for care, research and operations.
Telecommunications	Agentic automation for network operations, service and call-center efficiency.

Funding & recent developments

Funding

Round	Year	Amount
Seed	2012	$2M
Series A	2014	$9M
Series B	2015	$20M
Series C	2017	$40M
Series D	2019	$73M
Series E	2021	$100M

Latest known round	Total raised
Series E	$250M

Recent developments

Sep 2026SecurityIRAP PROTECTED-level assessment completed
H2O AI Cloud completed an IRAP assessment at PROTECTED level.
Aug 2026ProductH2O AI Managed Cloud adds Document AI 2.0 and H2O Workflows
The August 16 release added Document AI 2.0 and H2O Workflows as an opt-in product.
Aug 2026PartnershipJoined the Open Secure AI Alliance
H2O.ai joined the Open Secure AI Alliance.
May 2026SecurityFedRAMP High certification for H2O AI Cloud for Government
H2O AI Cloud for Government received FedRAMP High certification.
May 2026ProductLaunch of tabH2O tabular foundation model
tabH2O launched at Dell Technologies World 2026 and was pre-integrated into the Dell AI Factory with NVIDIA.

Competitive landscape

How H2O.ai compares with its top three alternatives

All alternatives

H2O.ai most often appears alongside Databricks, Amazon SageMaker AI, AWS in AI answers.

vsH2O.ai vs Databricks2.2% vs 46.2% visibility · Databricks leadsFull comparison vsH2O.ai vs Amazon SageMaker AI2.2% vs 44.4% visibility · Amazon SageMaker AI leadsFull comparison vsH2O.ai vs AWS2.2% vs 35.7% visibility · AWS leadsFull comparison

Brand	Visibility	Share of voice	vs last week	Starting price
H2O.ai	2.2%	1%	New	Pricing not available
Databricks	46.2%	7.6%	New	Pricing not available
Amazon SageMaker AI	44.4%	8%	New	Pricing not available
AWS	35.7%	7.5%	New	Pricing not available
Google Vertex AI	33.1%	7.2%	New	Pricing not available