
H2O.ai
Founded Year
2012Stage
Series E - II | AliveTotal Raised
$246.12MValuation
$0000Last Raised
$100M | 4 yrs agoRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-49 points in the past 30 days
About H2O.ai
H2O.ai specializes in generative AI and machine learning. It provides a comprehensive AI cloud platform for various industries. The company offers a suite of AI cloud products, including automated machine learning, distributed machine learning, and tools for AI-driven data extraction and processing. H2O.ai caters to sectors such as financial services, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. H2O.ai was formerly known as 0xdata. It was founded in 2012 and is based in Mountain View, California.
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H2O.ai's Product Videos
ESPs containing H2O.ai
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The small language model (SLM) tools & development market includes companies and open-source projects that create, customize, and deploy compact AI language models optimized for efficiency and domain-specific use. These models deliver faster inference, lower costs, and on-device capabilities compared with large language models. The market includes model developers, fine-tuning and optimization pla…
H2O.ai named as Outperformer among 15 other companies, including Microsoft, Google, and Amazon.
H2O.ai's Products & Differentiators
h2oGPTe Agentic AI
h2oGPTe Agentic AI converges generative AI and predictive with purpose-built SLMs The industry’s first multi-agent Generative AI platform to bring together the strengths of Generative AI and Predictive AI with airgapped, on-premise deployment options.
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Research containing H2O.ai
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned H2O.ai in 7 CB Insights research briefs, most recently on Jul 2, 2024.

Jul 2, 2024 team_blog
How to buy AI: Assessing AI startups’ potential


Sep 29, 2023
The machine learning operations (MLOps) market mapExpert Collections containing H2O.ai
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
H2O.ai is included in 8 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,297 items
Regtech
1,453 items
Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.
AI 100 (All Winners 2018-2025)
200 items
Artificial Intelligence (AI)
37,233 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Conference Exhibitors
5,302 items
Fintech
9,809 items
Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.
H2O.ai Patents
H2O.ai has filed 12 patents.
The 3 most popular patent topics include:
- machine learning
- artificial intelligence
- classification algorithms

Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
4/21/2023 | 10/15/2024 | Machine learning, Diagrams, Complex analysis, Scientific modeling, Artificial intelligence | Grant |
Application Date | 4/21/2023 |
|---|---|
Grant Date | 10/15/2024 |
Title | |
Related Topics | Machine learning, Diagrams, Complex analysis, Scientific modeling, Artificial intelligence |
Status | Grant |
Latest H2O.ai News
Oct 31, 2025
Expected to grow to $2.89 billion in 2029 at a compound annual growth rate (CAGR) of 22.8%” — The Business Research Company LONDON, GREATER LONDON, UNITED KINGDOM, October 31, 2025 / EINPresswire.com / -- "Get 20% Off All Global Market Reports With Code ONLINE20 – Stay Ahead Of Trade Shifts, Macroeconomic Trends, And Industry Disruptors What Is The Synthetic-Data Visualization Display Market Size And Growth? There has been a vigorous expansion in the synthetic-data visualization display market in the recent past. It is projected to escalate from $1.03 billion in 2024 to $1.27 billion in 2025, growing at a compound annual growth rate (CAGR) of 23.2%. The growth during the historical period is primarily due to the amplifying acceptance of cloud-based data storage, the surge in demand for interactive dashboards, an influx in businesses' dependence on data-driven solutions, an increase in both structured and unstructured data volume, and an escalating necessity for real-time analytics. The market for synthetic-data visualization displays is projected to undergo considerable growth in the coming duration, growing to $2.89 billion in 2029 with a CAGR of 22.8%. This anticipated growth within the predictive timeline can be linked to increased investments in AI algorithms, a surge in the adoption of hybrid data platforms, a heightened demand for predictive analytics capabilities, an uptick in the usage of automation in data visualization, and a growing emphasis on personalized data insights. Key trends foreseen within the predictive timeline encompass advancements in synthetic-data generation methods, innovations in interactive visualization tools, the amalgamation of AI with visualization platforms, creation of real-time analytics dashboards, and progress in augmented and virtual reality visualization displays. Download a free sample of the synthetic-data visualization display market report: https://www.thebusinessresearchcompany.com/sample.aspx?id=28849&type=smp What Are The Current Leading Growth Drivers For Synthetic-Data Visualization Display Market? The accelerated digital transformation of businesses is anticipated to fuel the expansion of the synthetic-data visualization display industry. The process of digitalizing businesses encompasses the integration of digital technology throughout operations, enhancing efficiency, productivity, and overall value proposition. The rise in such digitization reflects companies' push towards greater operational effectiveness using digital tools that automate manual processes, reduce mistakes, and expedite decision-making. Such digital reshaping benefits from synthetic-data visualization display, which produces and visualizes simulated datasets. This assists in hastening data-oriented decisions, strengthening predictive analytics, and refining operations without solely relying on real-world data. For example, a study by the European Investment Bank in May 2024 stated that as of 2022, only 30% of microenterprises in the European Union had put in place plans for improved digitization, a contrast to the 63% of larger corporations. Consequently, this rapid digitalization within enterprises is fueling the growth of the synthetic-data visualization display market. Which Companies Are Currently Leading In The Synthetic-Data Visualization Display Market? Major players in the Synthetic-Data Visualization Display Global Market Report 2025 include: • Amazon Web Services Inc. • Siemens AG • Nvidia Corp. • Zoho Corporation • TIBCO Software Inc. • ThoughtSpot Inc. • Domo Inc. • H2O.ai Inc. • Tonic.ai • MOSTLY AI. What Are The Prominent Trends In The Synthetic-Data Visualization Display Market? Prominent players in the synthetic-data visualization industry are honing their focus on creating groundbreaking solutions like agentic AI to automate the preparation and interpretation of synthetic datasets, resulting in better data-driven insights and increased operational productivity. Agentic AI refers to AI platforms capable of making self-governing decisions, allowing them to undertake tasks, solve issues, and engage with environments or data independently with minimum human oversight. For example, in October 2024, Tata Consultancy Services, an IT firm based in India, introduced a designated NVIDIA business unit within its AI.Cloud division to expedite AI acceptance for clients from various sectors. The division of AI.Cloud is designed to fast-track AI acceptance across a variety of industries by merging TCS's extensive domain expertise with NVIDIA's advanced AI technologies. This unit furnishes tailor-made, industry-specific AI solutions that allow companies to innovate quicker, enhance operations, and significantly reduce expenses. It dedicates itself to enabling scalable, contextually-aware AI transformation employing advanced NVIDIA platforms and TCS's unique frameworks to achieve smarter, more productive business results. How Is The Synthetic-Data Visualization Display Market Segmented? The synthetic-data visualization display market covered in this report is segmented as 1) By Component: Software, Hardware, Services 2) By Deployment Mode: On-Premises, Cloud 3) By Application: Healthcare, Finance, Retail, Automotive, Information Technology And Telecommunications, Education, Other Application Types 4) By End-User: Enterprises, Research Institutes, Government, Other End-User Types Subsegments: 1) By Software: Data Analytics Software, Visualization Software, Simulation Software 2) By Hardware: Servers, Workstations, Edge Devices 3) By Services: Consulting, Implementation, Support And Maintenance View the full synthetic-data visualization display market report: https://www.thebusinessresearchcompany.com/report/synthetic-data-visualization-display-global-market-report Which Is The Dominating Region For The Synthetic-Data Visualization Display Market? In 2024, North America held the top position in the Synthetic-Data Visualization Display Global Market. The report in question forecasts its growth status for 2025. It delves into several regions including Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. Browse Through More Reports Similar to the Global Synthetic-Data Visualization Display Market 2025, By The Business Research Company Data Visualization Tools Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/data-visualization-tools-global-market-report Advanced Visualization Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/advanced-visualization-global-market-report Biological Data Visualization Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/biological-data-visualization-global-market-report Speak With Our Expert: Saumya Sahay Americas +1 310-496-7795 Asia +44 7882 955267 & +91 8897263534 Europe +44 7882 955267 Email: saumyas@tbrc.info The Business Research Company - www.thebusinessresearchcompany.com Follow Us On: • LinkedIn: https://in.linkedin.com/company/the-business-research-company Oliver Guirdham The Business Research Company info@tbrc.info Visit us on social media: LinkedIn Facebook X Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
H2O.ai Frequently Asked Questions (FAQ)
When was H2O.ai founded?
H2O.ai was founded in 2012.
Where is H2O.ai's headquarters?
H2O.ai's headquarters is located at 2307 Leghorn Street, Mountain View.
What is H2O.ai's latest funding round?
H2O.ai's latest funding round is Series E - II.
How much did H2O.ai raise?
H2O.ai raised a total of $246.12M.
Who are the investors of H2O.ai?
Investors of H2O.ai include Nexus Venture Partners, NVIDIA, Wells Fargo Strategic Capital, Capital One Ventures, Celesta Capital and 20 more.
Who are H2O.ai's competitors?
Competitors of H2O.ai include Dataiku, Domino, Fractal, Centific, Glean and 7 more.
What products does H2O.ai offer?
H2O.ai's products include h2oGPTe Agentic AI and 2 more.
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Compare H2O.ai to Competitors

DataRobot operates as a company that provides artificial intelligence (AI) applications and platforms within the enterprise AI suite and agentic AI platform domains. Its offerings include a suite of AI tools that integrate into business processes, allowing teams to manage AI, along with AI governance, observability, and foundational tools. DataRobot serves sectors including finance, supply chain, energy, financial services, government, healthcare, and manufacturing, and collaborates with NVIDIA and SAP. It was founded in 2012 and is based in Boston, Massachusetts.

Dataiku specializes in Artificial Intelligence (AI) and analytics, offering a platform for enterprises to build, deploy, and manage Artificial Intelligence (AI) projects. The company provides tools for machine learning, data preparation, analytics, and governance for Artificial Intelligence (AI). It serves industries including banking, life sciences, manufacturing, and retail. It was founded in 2013 and is based in New York, New York.

Domino operates in the enterprise Artificial Intelligence (AI) platform sector, providing a platform for building, deploying, and managing AI models. It focuses on collaboration, governance, and cost reduction. It serves sectors that utilize model-driven business strategies, including life sciences, financial services, manufacturing, and insurance. It was founded in 2013 and is based in San Francisco, California.
IBM Watson Group focuses on artificial intelligence (AI) and hybrid cloud solutions within the technology sector. The company offers generative AI experiences, AI-powered cybersecurity, and post-quantum cryptography standards, as well as services in AI and machine learning, analytics, compute and servers, databases, DevOps, IT automation, quantum computing, and security and identity. IBM Watson Group's products and services are primarily utilized by various sectors, including the sports industry, cybersecurity, and enterprise IT infrastructure. It is based in New York, New York.

Alteryx focuses on enterprise analytics, providing a platform for data analysis across various environments. The company offers an analytics platform that can be deployed on-premises, in hybrid, or cloud environments, allowing organizations to automate analytics and improve decision-making processes. Alteryx primarily serves sectors that require data analytics to improve revenue, manage costs, and mitigate risks. Alteryx was formerly known as SRC. It was founded in 1997 and is based in Irvine, California.

SAS operates as a company specializing in artificial intelligence (AI) and analytics within the technology sector. It provide solutions that help organizations analyze data and gain insights. The company serves sectors that require data analytics and business intelligence. SAS was formerly known as Statistical Analysis System. It was founded in 1976 and is based in Cary, North Carolina.
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