List of H2O Open Source ML Customers

H2O.ai

2307 Leghorn St,
Mountain View, 94043, CA,
United States

https://www.h2o.ai/

1 650-429-8337

Professional Services

370

$40M

Since 2010, our global team of researchers has been studying H2O Open Source ML customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Each quarter our research team identifies companies that have purchased H2O Open Source ML for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.

Companies using H2O Open Source ML for ML and Data Science Platforms include: Comcast, a United States based Communications organisation with 182000 employees and revenues of $123.73 billion, Kaiser Permanente, a United States based Non Profit organisation with 223883 employees and revenues of $100.10 billion, Progressive, a United States based Insurance organisation with 66300 employees and revenues of $75.37 billion, HCA Healthcare, a United States based Healthcare organisation with 226000 employees and revenues of $70.60 billion, Cisco Systems, a United States based Professional Services organisation with 90400 employees and revenues of $53.80 billion and many others.

Contact us if you need a completed and verified list of companies using H2O Open Source ML, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.

The H2O Open Source ML customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

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Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	SI	Insight
ADP	Professional Services	65200	$20.6B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a	In 2016 ADP implemented H2O Open Source ML in the ML and Data Science Platforms category to support enterprise data science and analytics functions. The deployment focused H2O Open Source ML on accelerating model development and the productionization of analytic models within ADP. H2O Open Source ML provided core modeling and automated machine learning capabilities, enabling model training and validation workflows and packaging of data products for operational use. The implementation positioned H2O Open Source ML as the development and runtime environment for ADP data scientists, establishing a clear relationship between ADP, H2O Open Source ML, ML and Data Science Platforms, and ADP data science and analytics functions. The initiative extended into a platform for customers and integrated with ADP data product delivery processes, enabling product teams to deliver model driven services. Governance and workflow changes prioritized standardizing modeling pipelines and accelerating model handoff to production. As Xiaojing Wang, Principal Data Scientist, said "H2O just makes modelling so much faster, not only to produce data products but we also created a platform for our customers."
Beeswax	Professional Services	150	$12M	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a	In 2016, Beeswax implemented H2O Open Source ML as its core ML and Data Science Platforms solution to support advanced analytics and predictive modeling across its data science organization. The deployment focused on enabling iterative model development and production scoring within the company data science team, led by Chief Data Scientist Sergei Izrailev. Configuration emphasized platform-native model training and experiment workflows, including automated machine learning capabilities, feature engineering pipelines, distributed in-memory processing for large datasets, and model serialization for operational scoring. H2O Open Source ML was used to standardize development artifacts and reproducible model workflows, aligning with common ML and Data Science Platforms practices for versioning and lifecycle management. Operational governance was driven by data science leadership, with rollout targeted at analytics and applied modeling functions rather than a broad ERP or CRM replacement. Beeswax cited vendor expertise as a critical operational support, Sergei Izrailev stating, "H2O has the experts on their team that can help us. That makes my life easier because people on my team can focus on the business needs," which underscores how external product and services support was used to reduce operational overhead for the internal data science organization.
Booking.com	Professional Services	6500	$2.1B	Netherlands	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a	In 2016, Booking.com implemented H2O Open Source ML within its ML and Data Science Platforms stack. The H2O Open Source ML deployment was adopted by Booking.com’s central data science teams to standardize model development and production scoring workflows, and to accelerate packaging and deployment of statistical and machine learning models. H2O Open Source ML was used alongside Apache Spark for larger models, leveraging Spark for distributed training and scale. The implementation emphasized model training, model packaging, and automated deployment into Booking.com’s production pipelines, with data science engineers operating the platform. Governance and workflow changes focused on establishing repeatable deployment processes and basic model versioning practices within the data science organization. Ben Teeuwen, Senior Data Scientist, noted that it is easy for the team to deploy models with H2O, indicating streamlined operationalization of models with this platform.
	Banking and Financial Services	76300	$39.1B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2015	n/a
	Professional Services	90400	$53.8B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2014	n/a
	Communications	182000	$123.7B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a
	Professional Services	15000	$5.7B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a
	Professional Services	23300	$7.5B	Ireland	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a
	Healthcare	226000	$70.6B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a
	Non Profit	223883	$100.1B	United States	H2O.ai	H2O Open Source ML	ML and Data Science Platforms	2016	n/a

Showing 1 to 10 of 15 entries

Buyer Intent: Companies Evaluating H2O Open Source ML

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FAQ - APPS RUN THE WORLD H2O Open Source ML Coverage

H2O Open Source ML is a ML and Data Science Platforms solution from H2O.ai.

Companies worldwide use H2O Open Source ML, from small firms to large enterprises across 21+ industries.

Organizations such as Comcast, Kaiser Permanente, Progressive, HCA Healthcare and Cisco Systems are recorded users of H2O Open Source ML for ML and Data Science Platforms.

Companies using H2O Open Source ML are most concentrated in Communications, Non Profit and Insurance, with adoption spanning over 21 industries.

Companies using H2O Open Source ML are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of H2O Open Source ML across Americas, EMEA, and APAC.

Companies using H2O Open Source ML range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 13.33%, large organizations with 1,001-10,000 employees - 20%, and global enterprises with 10,000+ employees - 66.67%.

Customers of H2O Open Source ML include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified H2O Open Source ML customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.

List of H2O Open Source ML Customers

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Buyer Intent: Companies Evaluating H2O Open Source ML

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Q1. What is H2O Open Source ML used for?

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