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Company Overview of H2O.ai
H2O.ai develops an open source parallel processing prediction engine for machine learning and predictive analytics on big data. It offers H2O, an open source predictive analytics platform for data scientists, application developers, and business analysts who need in-memory machine learning for smarter applications. The company also provides marketing mix modeling, risk and fraud analysis, advertising technology, and customer intelligence solutions. H2O.ai was formerly known as 0xdata, Inc. and changed its name to H2O.ai in November 2014. The company was founded in 2011 and is based in Mountain View, California.
1185 Terra Bella Avenue
Mountain View, CA 94043
Founded in 2011
Key Executives for H2O.ai
Co-Founder and Chief Executive Officer
Co-Founder and Chief Technology Officer
Head of Marketing and Chief Hustler
Head of Product & Data Science
Compensation as of Fiscal Year 2014.
H2O.ai Key Developments
H2O.ai Announces Availability of New Flow and Play Products at H2O World
Nov 19 14
H2O.ai announced the public availability of H2O.Flow and H2O.Play - two unique platforms which increase speed of implementation and data science workflow development. H2O.Flow is a web-based interactive computational environment where the user can combine code execution, text, mathematics, plots and rich media into a single document, much like IPython Notebooks. Unlike traditional interactive computing environments output text, Flow utilizes a "hybrid" user interface that seamlessly blends a command-line shell with a modern point-and-click graphical user interface for every operation in H2O. Flow uniquely simplifies capturing, replaying, annotating, sharing and presenting analysis workflows and uses the bog-standard H2O REST API under the hood; so not only can the user can access and manipulate raw H2O objects under the hood, the user can also build custom GUI applications using H2O's REST API, right from within Flow. H2O.Play presents the first private cloud instance for quickly deploying open source machine learning at petabyte scale that is completely agnostic of the underlying architecture. This allows possible to train predictive models with all of the user data quickly and easily without the overhead of managing hardware and distributed systems. Play also comes preloaded with a range of algorithms, supporting actions across S3, HDFS and local data sets.
0xdata, Inc. Releases Second Generation H2O
Oct 24 13
0xdata, Inc. announced general availability of the latest release of H2O, the industry's fastest prediction engine for big data users of Hadoop, R and Excel. H2O delivers parallel and distributed advanced algorithms on big data at speeds up to 100X faster than other predictive analytics providers. The second generation H2O 'Fluid Vector' release -- currently in use at two of the larger insurance companies in the world, the larger provider of streaming video entertainment and the larger online real estate services company -- delivers new levels of performance, ease of use and integration with R. Early H2O customers include Netflix, Trulia and Vendavo. With H2O users can easily explore and model big data from within Microsoft Excel and RStudio and connect it with data from HDFS, S3, SQL and NoSQL data sources. Easy to install and deploy anywhere on a desktop, on Amazon EC2 or in place on big Hadoop clusters. With a simple click, these data models can be expressed into scoring engines ready for low latency production environments. Rather than wait for an entire job to finish, H2O provides approximate results at every step in the analysis process so users can get a general idea of results and kill a job and start over quickly if the early approximate numbers exceed an anticipated range.
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November 7, 2014