H2O.ai

What H2O.ai does

H2O.ai is a Mountain View, California-based AI software company founded in 2012 that builds predictive and generative AI platforms for enterprise and government customers requiring data sovereignty. Its core offering, the H2O AI Cloud, converges predictive and generative AI and is anchored by h2oGPTe (an enterprise agentic AI platform), H2O Driverless AI (AutoML with automatic feature engineering), H2O LLM Studio (no-code LLM/SLM fine-tuning), and H2O Hydrogen Torch (no-code deep learning). The company also maintains a portfolio of proprietary open-weight foundation models — H2OVL Mississippi (vision-language), Danube3 (small language models), and tabH2O (tabular foundation model launched May 2026) — plus an open-source core (H2O-3, Apache 2.0) that supports 2M+ active data science users. The platform deploys across air-gapped, on-premises, or cloud VPC environments on AWS, Azure, and Google Cloud.

H2O.ai monetizes primarily through enterprise subscription contracts (annual terms, per-named-user, auto-renewing with 5% annual escalators) and on-premise software licenses, supplemented by tiered support (Silver/Gold/Platinum), professional services, and managed cloud services. Pricing is quote-based and not publicly listed; cloud credits (AWS, Azure) are accepted as a payment method. The company reported $75M ARR in 2024 (up from $67.8M in 2023) and reached a $1.7B valuation at its November 2021 Series E led by Commonwealth Bank of Australia. Go-to-market blends direct enterprise sales (named individual users, executive sponsors, CSMs/TAMs at Platinum tier), channel distribution (Ingram Micro ANZ, xAmplify, CTC Global Singapore, Certis Singapore), and deep technology co-sell with Dell Technologies (5,000+ AI Factory deployments), NVIDIA (Nemotron/NIM/AI Blueprints), AWS, Google Cloud, and Microsoft Azure.

Primary customers include major banks (Commonwealth Bank of Australia, Goldman Sachs, Wells Fargo, Citi, Bank of America, Discover, Mastercard, Franklin Templeton, Progressive, State Farm, AKBank, Banco do Brasil), telcos (AT&T, Singtel), US federal agencies (NIH), healthcare (Kaiser Permanente), and a broad Fortune 500 base across retail, tech, and industrials (Chipotle, Cisco, CVS, eBay, Intuit, Samsung, Hyundai, Synopsys, Workday, Leidos). H2O.ai achieved FedRAMP High Authorization in May 2026 for H2O.ai Cloud for Government and renewed its Singapore IMDA Enterprise GenAI accreditation in January 2026, enabling sovereign AI deployments across regulated industries globally.

Name

H2O.ai

Legal name

H2O.ai, Inc.

Website

https://h2o.ai

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

251–500 employees

Short description

H2O.ai is a Mountain View-based AI platform company offering predictive and generative AI software for enterprise and government customers requiring data sovereignty. Its H2O AI Cloud powers agentic AI, AutoML, and proprietary open-weight foundation models across regulated industries.

Ownership category

akta.pro rank

Product category

Machine Learning Platform

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Model Hosting, Serving & Inference Platforms (HDAAACAB), Model Deployment, Serving & Inference Platforms (HDAAABAF), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

• Predictive AI platform
• Generative AI agents
• Machine learning software
• Sovereign AI solutions
• Open-source ML platform

Headquarters

HQ city

Mountain View

HQ country

United States

HQ region

North America

Offices9 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Enterprise Subscription (Hosted Solution): Recurring subscription fees for hosted SaaS solution, typically with annual or multi-year terms; auto-renews with 5% annual increase absent 60-day notice; billable per named individual user.
2. On-Premise Software License: One-time term license fees (1-year initial term, auto-renewing) for object-code software deployed on customer infrastructure; customer responsible for installation and maintenance.
3. Cloud Credits Payment Option: Allows customers to pay subscription fees using authorized cloud credits (e.g., AWS, Azure), where the cloud provider pays H2O the full subscription value on customer's behalf.
4. Tiered Support and Professional Services: Silver (24x5), Gold (24x7), and Platinum (24x7 with dedicated Slack, executive sponsor, TAM, EBR/QBR) support tiers with instructor-led training hours, health checks, and productionalization services.
5. Managed Cloud Services: Fully-managed AI Cloud platform with dedicated hosting, resource monitoring, security features, and prebuilt data science applications; deployed in US East, US West, Ireland, Australia, Singapore, India West, Brazil regions.

Pricing tiers

Go-to-market motion6 records

Distribution channels10 records

Marketing channels9 records

Core offering

H2O.ai sells an enterprise AI Cloud platform that converges predictive AI (AutoML via Driverless AI, H2O-3) with generative and agentic AI (h2oGPTe) for deployment on private, protected data. The platform can be delivered as a hosted subscription, on-premise license, fully managed cloud service, or in air-gapped configurations, and is packaged with prebuilt apps, open-weight foundation models (Danube3 SLMs, H2OVL Mississippi VLMs, tabH2O), MLOps, model risk management, and a GenAI App Store. Offerings are priced via enterprise contracts targeting banks, telecoms, and government agencies needing data sovereignty.

Product overview

H2O.ai offers a unified platform-plus-modules architecture centered on the H2O AI Cloud (also branded H2O AI Super Agent), which serves as the operational backbone for deploying AI on private, protected data. The flagship product is h2oGPTe, an enterprise GenAI and agentic AI platform that converges generative and predictive AI for multi-step, autonomous workflows. Supporting modules include H2O Driverless AI (AutoML with automatic feature engineering and explainability), H2O LLM Studio (no-code LLM/SLM fine-tuning), H2O Hydrogen Torch (no-code deep learning for image/text/time-series), H2O Danube3 (openweight SLMs), H2OVL Mississippi (openweight vision-language models for OCR/Document AI), tabH2O (foundation model for tabular data), H2O Feature Store, H2O Label Genie, H2O MLOps (full ML lifecycle management), H2O Eval Studio (model evaluation/risk monitoring), H2O MRM (model risk management), H2O Document AI, H2O Wave (low-code Python app framework), and the H2O GenAI App Store (prebuilt industry apps). The open-source foundation layer comprises H2O-3 (distributed ML for Python/R/Spark, Apache 2.0), Sparkling Water (H2O+Spark integration), Enterprise Steam, Enterprise Puddle, and h2oGPT. Industry-specific variants include H2O.ai Cloud for Government (FedRAMP High) and h2oGPTe Super Agent for sovereign deployments. The platform is deployable across air-gapped, on-premises, or cloud VPC environments on AWS, Microsoft Azure, and Google Cloud.

Differentiator

Problem solved

Functional benefit

Brands

• h2oGPTe: Enterprise GenAI with multi-model support, cost controls, and app integrations.
• H2O AI Super Agent
• H2O Driverless AI
• H2O Hydrogen Torch
• H2O Danube3
• H2OVL Mississippi
• H2O LLM Studio
• H2O-3
• H2O Feature Store
• H2O MLOps
• H2O Wave
• H2O Document AI
• tabH2O
• H2O AI Cloud
• H2O GenAI App Store
• Label Genie

Products and services

• H2O AI Cloud End-to-end enterprise AI Cloud platform that operationalizes AI/ML applications and models, deployable on air-gapped, on-premises, or cloud VPC infrastructure across US East, US West, Ireland, Australia, Singapore, India West, and Brazil regions.
• h2oGPTe Enterprise AI Agent Enterprise GenAI and agentic AI platform with multi-model LLM/SLM support, cost controls, and integrations with Google Drive, SharePoint, Slack, Teams, Snowflake, GitHub, and AWS; first to reach 75% accuracy on GAIA agentic benchmark.
• H2O LLM Studio No-code training and fine-tuning studio for efficient, enterprise-ready LLMs and SLMs on private data, enabling fine-tuning without code.
• H2O Driverless AI Automated machine learning (AutoML) platform that accelerates model development with automatic feature engineering, model building, and explainability for predictive AI workloads.
• H2O Hydrogen Torch No-code deep learning platform for training image, text, and time-series models with prebuilt templates.
• H2O Danube3 Lightweight, offline-capable open-weight small language models (SLMs) for on-device and edge deployments.
• H2OVL Mississippi Open-weight vision-language models for OCR and Document AI with multimodal capabilities, surpassing one million monthly downloads on Hugging Face.
• tabH2O Enterprise foundation model purpose-built for tabular/structured data that returns predictions from a CSV with no model training required.
• H2O-3 Open-source distributed, in-memory machine learning platform for Python, R, and Spark, licensed under Apache 2.0, used by a community of 2M+ data scientists.
• H2O MLOps Model deployment and monitoring solution managing the full ML lifecycle from training to production, including model risk management and automated testing.
• H2O Feature Store Centralized and shareable feature repository for feature engineering at scale across teams and projects; deployed commercially with AT&T.
• H2O Eval Studio Automated testing and human-calibrated evaluation studio providing real-time risk monitoring for AI models to ensure transparency and compliance.
• H2O GenAI App Store Prebuilt GenAI apps for industry-specific use cases, ready to deploy within the H2O AI Cloud ecosystem.
• H2O Wave Open-source low-code Python app framework (Apache 2.0) for building custom AI applications with minimal code.
• H2O Document AI Document AI solution for intelligent document processing and extraction, leveraging H2O's H2OVL multimodal models.
• H2O.ai Cloud for Government Sovereign AI cloud platform with FedRAMP High Authorization for U.S. federal agencies, supporting defense, intelligence, healthcare, financial regulation, and public-sector workloads with secure, air-gapped deployments.
• Sparkling Water Open-source Apache 2.0 integration between H2O and Apache Spark, combining fast, scalable ML algorithms with Spark capabilities.
• h2oGPT Open-source large language model project by H2O.ai available on GitHub.
• H2O Flood Intelligence Blueprint Open agentic AI reference design for governments, utilities, insurers, and first responders to forecast and mitigate flood risk in real time.

Quantifiable outcome

• 70% reduction in scam losses at Commonwealth Bank of Australia
• +9 more outcomes

Named customers5 records

Segments7 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration13 records

AI capability17 records

Feature14 records

Partnerships

Twelve partnerships are on record, tiered flagship, core and minor.

• Dell TechnologiesflagshipStrategic or Co-development Partner · 28 May 2026Joint presentation at Dell Technologies World 2026 to address enterprise AI adoption challenges; on-premises AI factories and vertical AI models reducing token costs and addressing data sovereignty. Dell has 5,000+ AI factory deployments globally; some H2O.ai customers process billions of tokens daily after migrating to the Dell-H2O platform. tabH2O tabular foundation model launched at the event.
• Ingram MicrocoreChannel Partner/ Reseller/ Distributor · 12 April 2026Appointed as key route-to-market distributor for H2O.ai's full portfolio (open-source platform, h2oGPTe, Document AI, enterprise Agentic AI solutions) across Australia and New Zealand. Partners transact H2O.ai products via Ingram Micro's Xvantage AI-enabled platform.
• VAST DataminorStrategic or Co-development Partner · 12 April 2026Partner listed in H2O.ai partner network; co-marketed relationship around AI infrastructure.
• CTC Global SingaporecoreImplementation/ SI/ Consulting Partner · 26 March 2026Strategic partnership formalized at a signing ceremony in Singapore on March 26, 2026 to accelerate enterprise AI adoption across APAC. Combines H2O.ai's AI platform with CTC Global Singapore's integration and delivery capabilities, targeting banking, telecommunications, public sector, financial services, and manufacturing with on-premise, private cloud, or air-gapped deployment options.
• xAmplifycoreChannel Partner/ Reseller/ Distributor · 15 March 2026Partnership with Australia's leading sovereign AI integrator (backed by Macquarie Capital) to expand Agentic AI platform across ANZ. xAmplify offers H2O.ai end-to-end AI solutions to government agencies and enterprise customers requiring secure, sovereign, and explainable AI deployments.
• AT&TflagshipStrategic or Co-development Partner · 3 March 2026AT&T and H2O.ai celebrated a commercial milestone for AI Feature Store and deepened work on Vertical AI Super Agents; AT&T call center transformation returns 2X ROI in free cash flow on h2oGPTe generative AI spend.
• Certis Group (Singapore)coreStrategic or Co-development Partner · 23 January 2026Memorandum of Understanding signed January 23, 2026 in Singapore to scale AI deployment across urban security, transportation, and critical infrastructure. Combines H2O.ai's sovereign and predictive AI platform with Certis' Mozart AI orchestration platform. Joint initiatives include co-developing AI models for orchestration, deploying AI-enhanced robotics, and workforce AI literacy upskilling aligned with Singapore's Smart Nation vision.
• Microsoft AzurecoreTechnology or Integration · 22 January 2026Listed as Technology Partner; H2O.ai products available across AWS, Microsoft Azure, and Google Cloud per product availability documentation.
• Amazon Web Services (AWS)flagshipTechnology or Integration · 13 December 2025One-Click GenAI on AWS Bedrock using NVIDIA hardware and AI frameworks; H2O Enterprise LLM Studio combines with NVIDIA TAL and NIMS frameworks. Listed in AWS ICMP (Industrial Customers and Markets Program) for US Federal Government. H2O.ai products available on AWS Marketplace; AWS Bedrock supports H2O.ai fine-tuning workflows.
• Google Cloud PlatformcoreTechnology or Integration · 6 December 2025Driverless AI and H2O-3 available on Google Cloud Platform Marketplace for deploying H2O clusters and building machine learning workflows. Listed as a Technology Partner on h2o.ai partner network.
• NVIDIAflagshipStrategic or Co-development Partner · 28 October 2025Expanded integration of NVIDIA Nemotron models, NIM microservices, and GPU-accelerated AI Blueprints. Featured in NVIDIA AI Factory for Government whitepaper unveiled at GTC DC on October 28, 2025. Flood Intelligence Blueprint powered by NVIDIA NeMo Agent Toolkit and H2O h2oGPTe. Nemotron-Super-49B-v1.5 integrated into H2O h2oGPTe optimized for H100/H200 GPUs with 128K-token context window.
• H2O.ai Academic Program Universities (Stanford et al.)minorOthersAcademic Program provides free non-commercial licenses to universities including Stanford (Trevor Hastie endorsement), University of Ontario Institute of Technology (Michael Bliemel), and Otago Business School (John Williams). Includes Slack community channel for #academic with hosts Arno Candel, Rafael Coss, Eric Gudgion, Feng Bai, Karthik Kannappan, Lauren DiPerna, Megan Kurka, Stefan Pacinda, Thomas Ott, and Tom Kraljevic.

Scale indicators15 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• DataRobot: DataRobot is a direct AutoML and enterprise AI platform competitor, offering automated model building, MLOps, and increasingly GenAI capabilities for regulated industries, overlapping heavily with H2O Driverless AI, MLOps, and AI Cloud positioning.
• C3.ai: C3.ai is an enterprise AI application platform competitor that combines prebuilt industry AI applications with a model-driven agentic platform, comparable to H2O.ai's vertical agent strategy across financial services, telco, and government.
• Domino Data Lab: Domino Data Lab is a direct MLOps and enterprise data science platform peer, focused on regulated industries (financial services, life sciences, government), with comparable on-prem/multi-cloud deployment and model governance overlap with H2O AI Cloud.

Broad incumbents

• Databricks: Databricks is a broad incumbent in the data and AI platform space, combining a lakehouse with ML/GenAI (Mosaic AI, MLflow). It overlaps with H2O.ai on enterprise ML and GenAI workloads and is the dominant data-led competitor for shared enterprise AI budgets.
• Palantir Technologies: Palantir is a broad incumbent selling AI/data platforms (Foundry, AIP) into defense, intelligence, and regulated commercial buyers, directly overlapping with H2O.ai's sovereign-AI and federal/regulated-industry go-to-market (NIH, defense, financial regulation).
• AWS SageMaker: AWS SageMaker is the hyperscaler incumbent for AutoML, MLOps, and GenAI orchestration on AWS; it is both a competitor and a partner (via Bedrock/ICMP) to H2O.ai and represents the primary bundled alternative in enterprise AI procurement.
• Microsoft Azure Machine Learning: Azure ML is Microsoft's hyperscaler AutoML/MLOps/GenAI platform, listed as a H2O.ai distribution partner but also a primary competitor for enterprise AI workloads in regulated industries.
• Google Vertex AI: Vertex AI is Google Cloud's unified ML and GenAI platform, overlapping with H2O.ai on managed AutoML, MLOps, and GenAI services, and is a partner via Google Cloud Marketplace and a direct competitor for enterprise AI workloads.

Emerging players

• Snowflake: Snowflake is a data cloud platform that has expanded into ML and GenAI (Snowpark, Cortex AI). It is a complementary data layer that H2O.ai integrates with, but increasingly a competitor for where enterprise AI budgets are spent.
• Iguazio (acquired by McKinsey QuantumBlack): Iguazio is an MLOps and AI platform for hybrid/multi-cloud and on-prem deployments; the two companies share a target market in regulated and on-prem AI use cases, with Iguazio now positioned within McKinsey/QuantumBlack as a delivery-led enterprise AI offering.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights8 records

Customer concentration

• Xx.com/h2oai
• GitHubgithub.com/h2oai
• YouTubeyoutube.com/user/0xdata
• LinkedInlinkedin.com/company/h2oai
• Facebookfacebook.com/667149513416696

Compliance7 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles14 records

Funding overview

Funding rounds9 records

Investors25 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about H2O.ai