H2O.ai

H2O.ai is an open-source machine learning platform headquartered in Mountain View, California, founded in 2011 to democratize AI for enterprises and data scientists. The company pioneered open-source AutoML with H2O-3, which has been downloaded over 40 million times and is used by over 20,000 organizations including AT&T, PayPal, and Cisco for production ML workloads. H2O.ai's flagship H2O AI Cloud platform combines automated machine learning, document AI, and generative AI capabilities for private, protected data, enabling organizations to build and deploy AI models while maintaining full data control and compliance. The platform supports the full ML lifecycle including data preparation, feature engineering, algorithm selection, model training with distributed computing across CPUs and GPUs, model deployment, and monitoring. H2O.ai's Driverless AI product automates feature engineering and model selection using genetic algorithms and ensemble methods, achieving state-of-the-art accuracy on structured data problems. The platform integrates with popular tools like Spark, Hadoop, Python, R, and Java, while offering pre-built connectors to data warehouses like Snowflake, Databricks, and AWS S3. H2O.ai emphasizes explainable AI with built-in model interpretability tools, critical for regulated industries like finance and healthcare requiring transparent AI decision-making for compliance with regulations like GDPR and CCPA.