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Summary
Valuation

Founded: 2012

Headquarters: Mountain View, CA

H2O.ai is the leading AI Cloud company, on a mission to democratize AI. Customers use the H2O AI Cloud to rapidly solve complex business problems and accelerate the discovery of new ideas. H2O.ai’s marquee products of Driverless AI, Hydrogen Torch, and Document AI have transformed over 20,000 global organizations, millions of data scientists, and over half of the Fortune 500, including AT&T, Citi, Capital One, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever, and Walgreens. Commonwealth Bank of Australia, Goldman Sachs, NVIDIA, and Wells Fargo are not only customers and partners, but strategic investors in the company. The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are makers at H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose.

Key Facts

1

Companies worldwide, grappling with inefficiencies, risk management issues, customer attrition, research constraints, and the threat of stagnation, are actively seeking AI solutions to maintain their competitive edge.

2

The cost to develop and maintain Large Language Models (LLMs) can be extraordinarily high and can require significant investment in resources, personnel, and advanced technology. One of the main problems for businesses while implementing AI is the processing and preparation of data for training algorithms. Data scientists spend the bulk of their time cleaning and organizing data, and organizations lack the internal teams to build or carry through projects that use AI. This has placed the benefits of AI out of reach for all but a few enterprises.

3

Managed and automated AI development platforms like H2O.ai have gained ground in recent years to address these issues. H2O.ai makes AI usable by any kind of enterprise. H2O.ai offers a fast, scalable and open-source platform for machine learning. It provides organizations with a customizable platform that allows them to build AI models to meet their unique needs and use ready-made applications from various fields.

4

Creating AI models used to take data scientists months or even years, but with the H2O AI Cloud, any individual data analyst, developer, or data scientist can make world-class AI models and applications in a matter of minutes, rapidly putting AI into the hands of business users.

5

The H2O AI Cloud solves complex business problems and accelerates the discovery of new ideas with results users can understand and trust. H2O.ai’s comprehensive automated machine learning (autoML) capabilities transform how AI is created and consumed. H2O.ai has built AI to do AI, making it easier and faster to use, while still maintaining expert levels of accuracy, speed, and transparency.

6

H20.ai’s platform, the H2O AI Cloud, enables businesses, government entities, nonprofits and academic institutions to make, operate, and innovate with AI to accelerate responsible innovation and push the boundaries of what is possible with artificial intelligence.

7

Powered by world-class automated machine learning (autoML), the H2O AI Hybrid Cloud is pivotal in driving such innovation efforts all the way from initial idea to real-world impact.

8

H2O AI Cloud (HAIC) is an end-to-end AI platform designed to help create, deploy, monitor, and share data models or AI applications for virtually any use case. It is deployed on Kubernetes and can be run on most cloud or on-premise infrastructure.

9

The Company’s AutoML functionality automatically runs through models and their parameters to produce a leaderboard of the best models, tapping technologies like distributed systems and in-memory computing to accelerate data processing.

10

H2O.ai provides a comprehensive suite of capabilities surrounding machine learning operations that support data scientists and machine learning engineers in the deployment, management and monitoring of their models in production.

11

H2O.ai’s platform encompasses multiple components and products of H2O.ai that, together, make up the H2O AI Cloud, including: (1) AI App Store, (2) H2O Driverless AI, (3) H2O-3, (4) H2O Hydrogen Torch, (5) H2O Wave, and (6) H2O MLOps.

12

The H2O AI Cloud supports rapid prototyping and solution development while also fostering collaboration between technical teams and business users. With comprehensive machine learning capabilities, a robust explainable AI toolkit, a low code application development framework and integrated machine learning operations, the H2O AI AppStore is the catalyst needed to move organizations from big ideas to tangible impact.

13

H2O Driverless AI automates many core data science tasks, while automatically documenting the model development process and providing machine learning interpretability for all models in production. With the addition of an AI Wizard that provides proactive data science guidance, more people across all business functions can now build machine learning models, removing barriers to machine learning literacy and understanding and, ultimately, increasing accessibility to AI technologies.

14

H2O-3 is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows users to build machine learning models on big data and provides easy usage of those models in an enterprise environment.

15

H2O Hydrogen Torch is democratizing AI by simplifying and streamlining the process of making state-of-the-art deep learning models for all data scientists, from the novice to the expert. Deep learning is able to learn and make intelligent decisions on its own, even with limited and unstructured data available. H2O Hydrogen Torch unlocks value from this unstructured data to help teams understand it at scale. For the enterprise, H2O Hydrogen achieves AI transformation by changing the way it delivers value to both customers and internal teams.

16

H2O Wave is an open-source Python development framework that makes it fast and easy for data scientists, machine learning engineers, and software developers to develop real-time interactive AI apps with sophisticated visualizations. H2O Wave accelerates development with a wide variety of user-interface components and charts, including dashboard templates, dialogs, themes, widgets, and many more.

17

H2O MLOps provides a collaborative environment that makes it easy for organizations to manage, deploy, govern, and monitor machine learning models in production.

18

Today, many organizations struggle to move from experimenting with AI to production AI models that drive meaningful business outcomes. Standing in the way are cumbersome and manual processes, DevOps skills or resources, and an ability to monitor models that are becoming less accurate or more biased over time.

19

H2O MLOps provides a simple interface that enables end-to-end model management, 1-click deployments, automated scaling, and model monitoring that provides automated drift detection for both accuracy and bias. With H2O MLOps, organizations will more rapidly move AI models to production and improve them as they deliver positive and responsible results.

20

H2O’s products are designed to simplify machine learning deployment across verticals like financial services, insurance, health care, telecommunications, retail, pharmaceutical, and marketing.

21

H2O.ai offers prebuilt models and apps for use cases like customer churn prediction, sales targeting, spend optimization, credit risk scoring, anti-money laundering, predictive maintenance, customer monitoring, malicious domain detection, and more. The end-to-end platform can also help explain the models to business users and executives.

22

While the H2O.ai platform is open source, H2O.ai also provides commercial offerings and enterprise solutions that cater to the specific needs of businesses. These commercial offerings include additional features, support, training, and consulting services, as well as enterprise-grade deployment options.

23

H2O.ai offers different licensing options for its commercial offerings, which include subscription-based models or usage-based pricing.

24

For customers with specific requirements, H2O.ai offers enterprise support with training, account managers, and prioritized issue resolution. Subscription plans include access to tools for orchestrating machine learning models across larger datacenter clusters.

25

10% of H2O.ai’s business is in services, with the remaining 90% coming from its products.

26

According to TechCrunch, 40% of the company’s revenue comes from the very wide and all-encompassing world of financial services.

27

Retail banking, credit cards, payments — almost every payment system from PayPal to MasterCard are customers of H2O.ai. On the equities side, companies power fixed income, asset management, and mortgage-backed security services using H2O.ai’s technology, with MarketAxess, Franklin Templeton, and BNY Mellon being strong H2O.ai customers. H2O.ai is also seeing a growing complement of business from other verticals: Unilever, Reckitt P&G in consumer goods; UPS in logistics and delivery; Chipotle in food services; and AT&T in telco as one of its largest customers.

28

H2O.ai collaborates with various technology partners and integrates its platform with other tools, frameworks, and languages commonly used in the data science ecosystem.

29

In May 2022, CEO Sri Ambati spoke with NBC Bay Area regarding how AI technology is helping aid in the fight against expensive and potentially deadly wildfires. The five largest wildfires in the history of California happened between 2018 and 2021, all five in Northern California, according to Cal Fire. Now, artificial intelligence is becoming part of the firefight. H20.ai created a contest called the Wildfire Challenge to encourage the greatest minds from around the world to develop applications that will help predict and prevent wildfires.

30

In June 2022, H2O.ai announced it has been named Best Overall AI Company as part of the AI Breakthrough Awards program. The award judges recognized that what sets H2O.ai apart from the competition is its H2O AI Cloud, a state-of-the-art AI cloud platform that combines H2O.ai’s groundbreaking automated no code / low code solutions together on a single, unified platform.

31

In April 2023, H2O.ai announced the launch of H2O AI Cloud as a pre-built solution for the Manufacturing Data Cloud, launched by Snowflake, the Data Cloud company. The Manufacturing Data Cloud enables companies in automotive, technology, energy, and industrial sectors to unlock the value of their critical siloed industrial data by leveraging Snowflake’s data platform, Snowflake- and partner-delivered solutions, and industry-specific datasets.

32

In April 2023, H2O.ai and its partner, The Center for Digital Health Innovation (CDHI) at the University of California, San Francisco (UCSF), were honored by AI Journal with two Global Excellence Awards. The awards for “Best Use of AI in the Public Sector” and “Best Use of Intelligence Automation” are for CDHI’s Ref & Docs Innovation, an AI-powered technology that automates the processing of documents coming into UCSF that was co-developed with H2O.ai.

33

In April 2023, H2O.ai announced a strategic partnership with Japanese-based GeoTechnologies, a provider of map data and location information solutions for car navigation systems. The companies used the H2O AI Cloud to jointly develop an AI-powered platform that assesses sidewalk safety from on-board camera footage. “GeoTechnologies has adopted the H2O AI Cloud to use terabytes of driving images to train machine learning models to improve context awareness across multiple situations. We were able to complete the work that normally takes two to three weeks, from building the environment to training and testing, in only one day. In addition, H2O's ‘grid search function’ can search for the most accurate model from multiple AI models. When we verified images with conventional technology, we were 68 percent accurate. With H2O, we have increased accuracy nearly 30 percent to 97 percent,” said Tsukasa Enomoto, Chief Digital Officer at GeoTechnologies.

Industry

Primary Vertical

FinTech

Mosaic Score

100

Money - 100

Momentum - 100

Management - 100

Market - 100

What is a Mosaic Score?

Employees: 500


Key Officers

Name Work History Title Status
officer name 1 Founder Current
officer name 2 Founder Current
officer name 3 Founder Current

Customers

Businesses that accept or are transitioning to accept bitcoin payments. Customers that own or trade cryptocurrency

Key Investors

Businesses that accept or are transitioning to accept bitcoin payments. Customers that own or trade cryptocurrency

Size of Market

Businesses that accept or are transitioning to accept bitcoin payments. Customers that own or trade cryptocurrency

Market Position

Businesses that accept or are transitioning to accept bitcoin payments. Customers that own or trade cryptocurrency

Valuation & Fundraising

Last Round: Jan. 2021, Seed

Valuation Post-Money: $10M

 

Amount Raised: $1M

Total Funds Raised: $10M

 

Linqto Implied Valuation: $10M


Funding Rounds

Date Round Amount Valuation
01/01/2021 Seed $11M $11M
01/01/2021 Seed $11M $11M
01/01/2021 Seed $11M $11M

Valuation Over Time

Linqto Chart

1 buyback

Competitive Landscape

Company Valuation Revenue

Company Name

San Francisco, California

$65.3B $1.3B

Company Name

San Francisco, California

$65.3B $1.3B

Company Name

San Francisco, California

$65.3B $1.3B

Company Name

San Francisco, California

$65.3B $1.3B