Invest in H2O.ai

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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

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.

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.

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

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.

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

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

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.

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

In June 2024, H2O.ai was recognized as a Visionary in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, and the 2024 Gartner Magic Quadrant for Cloud AI Developer Services, marking the second consecutive year the company has been recognized as a Visionary. H2O.ai has been named on both Gartner Magic Quadrants in every consecutive year since the reports were introduced.