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H2O.ai

Origin and History

H2O.ai was founded in 2012 in Mountain View, California, by Sri Ambati and Cliff Click. The company emerged from the vision to democratize artificial intelligence and make machine learning accessible to everyone, not just data scientists with deep technical expertise.

Mission

H2O.ai's mission is to democratize AI for everyone by providing open-source machine learning platforms that enable organizations to build and deploy AI applications quickly and efficiently.

Vision

To create a world where AI can be used by anyone to solve complex business problems, regardless of their technical background or organizational size.

Values

  • Open Source First: Commitment to open-source development and community collaboration
  • Democratization: Making AI accessible to all users and organizations
  • Innovation: Continuous advancement in machine learning and AI technologies
  • Transparency: Providing explainable AI solutions
  • Community: Building and supporting a global community of AI practitioners

Products and Services

H2O.ai offers a comprehensive suite of AI and machine learning products including H2O-3 (open-source platform), H2O Driverless AI (automated machine learning), H2O Wave (real-time applications), and various cloud and enterprise solutions.

Latest Technologies and Trends

The company focuses on automated machine learning (AutoML), explainable AI, real-time ML applications, generative AI integration, and cloud-native solutions. H2O.ai continues to innovate in areas like large language models, MLOps, and edge computing.

Curiosities

H2O.ai has been recognized as a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms multiple times and has a strong commitment to open-source development with over 18,000 organizations using their platforms worldwide.

Products by this company

H2O Driverless AI

H2O Driverless AI is an award-winning automatic machine learning platform that uses AI to automate some of the most difficult and time-consuming tasks in data science including feature engineering, model validation, and model tuning.

H2O MLOps

H2O MLOps is a comprehensive platform for managing the complete machine learning lifecycle, from model deployment to monitoring and governance in production environments.

H2O-3

H2O-3 is an open-source, distributed machine learning platform that provides scalable machine learning algorithms and tools for data scientists and developers.

H2O.ai Platform

H2O.ai Platform is a comprehensive automated machine learning platform that democratizes AI by enabling users to build, deploy, and monitor machine learning models without extensive programming knowledge.