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H2O.ai Stock (HTWO)

H2O.ai aims to remove the barriers to AI adoption. According to H2O.aim their open-source platform and enterprise solutions empower businesses of all sizes to leverage powerful machine learning – predictive analytics, generative AI – without needing an army of data scientists. This democratizes AI for industries like finance, healthcare, and retail

H2O.ai is a machine learning platform that builds smart applications.

About H2O.ai Stock

Founded

2011

Headquarters

Mountain View, CA, US

Total Funding

269M

Industries

Software, Data and Analytics, Science and Engineering

H2O.ai is a provider of a cloud-based open-source machine learning platform as well as enterprise AI solutions. The company's mission is to democratize AI for everyone by providing a set of tools that allows companies to build generative AI and predictive AI applications without the need for large teams of data scientists. H2O.ai's core product H2O-3, is an open-source machine learning platform that supports widely used statistical & machine learning algorithms. H2O.ai aims to empower every company to be an AI company in industries such as financial services, insurance, healthcare, and retail. 

H2O.ai was founded in 2011 by Sri Ambati and Cliff Click and is headquartered in Mountain View, CA. Notable investors include Goldman Sachs, Celesta Capital, Paxion Capital Partners, and Wells Fargo. 

Investors in H2O.ai

Discover investors in H2O.ai stock and explore their portfolio companies

H2O.ai Management

Leadership team at H2O.ai

Chief Executive Officer

Sri Ambati

Chief Technology Officer

Arno Candel

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H2O.ai Key Facts

  • Strategic Expansion in Enterprise AI and Public Sector: H2O.ai has solidified its market position by focusing on high-value enterprise and public sector clients. In May 2025, the company achieved FedRAMP® "In Process" designation at a high impact level, a critical step that allows it to serve federal agencies with its secure, sovereign AI solutions. The company also broke a world record for the "Most Accurate Agentic AI for Generalized Assistants" in June 2025, a key differentiator that appeals to regulated industries like finance and healthcare that require explainable AI and robust governance.
  • Strong Partner Ecosystem and Global Market Penetration: The company is expanding its market reach by forging strategic partnerships with major technology companies. H2O.ai has announced new collaborations with Dell Technologies and NVIDIA in 2025 to offer pre-integrated, ready-to-deploy AI solutions to enterprises. Additionally, the company is actively expanding its global footprint, as evidenced by the appointment of a new Vice President of Partnerships for the Asia Pacific region in August 2025 to meet "soaring enterprise AI demand across the region."
  • Positive Industry Recognition and Product Innovation: H2O.ai's brand reputation and product excellence are continually validated by industry analysts. In June 2025, Gartner named H2O.ai a Visionary for the third consecutive year in its Magic Quadrant for Data Science and Machine Learning Platforms. This recognition, along with the launch of new products like H2O LLM Studio and a new AI AppStore in 2025, demonstrates the company's commitment to innovation. Its ability to provide both open-source and enterprise-grade solutions is a key differentiator that helps it attract a wide customer base.
  • Intense Competition from Tech Giants: Its competitors include established players such as Google (with TensorFlow), Facebook (with PyTorch), and Microsoft (with Azure ML), as well as a growing number of startups offering specialized AI solutions. These competitors have significant resources, extensive research capabilities, and established market presence, which could pose challenges to H2O.ai’s market expansion and customer acquisition efforts.
  • Vulnerability to Economic Fluctuations: H2O.ai’s revenue is closely tied to enterprise adoption of AI and machine learning solutions, which are subject to fluctuations in corporate spending, economic cycles, and technological trends. During periods of economic uncertainty or reduced corporate budgets, businesses may prioritize cost-cutting measures, including reductions in AI investments and technology upgrades.
  • Regulatory and Ethical Hurdles: H2O.ai operates in a regulatory environment characterized by evolving compliance requirements and ethical considerations related to AI and machine learning applications. Ensuring compliance with regulations such as GDPR and CCPA requires ongoing investment in data governance practices, security measures, and transparency in AI model development and deployment.

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