H2O AI
H2O AI is a leading agentic AI company that converges generative and predictive AI to help enterprises and public sector agencies develop purpose-built AI applications on private data. Its open-source H2O AI Cloud platform—trusted by over 20,000 organizations, including more than half of the Fortune 500—delivers secure, compliant AI deployments with explainability, model monitoring, and enterprise-grade governance.
Use Cases
-
AI-Driven Customer Insights: Predictive models for churn reduction, customer segmentation, and lifetime value forecasting.
-
Autonomous Agents: Task-driven AI assistants using private data for information retrieval and decision support.
-
Operational Efficiency: Automated forecasting and anomaly detection in manufacturing, supply chain, and energy.
-
Model Governance: Explainable AI and compliance tracking for finance, healthcare, and public sector applications.
Customers & Markets
H2O AI serves over 20,000 organizations globally, spanning banking, insurance, healthcare, retail, and government. Notable customers include AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, and NIH, leveraging H2O AI Cloud for fraud detection, personalized marketing, and AI-driven research.
Research, Partnerships & Innovations
-
Research Focus: Agentic AI systems, explainable machine learning, and scalable AutoML.
-
Partnerships: Alliances with Dell Technologies, Deloitte, EY, NVIDIA, Snowflake, AWS, GCP, and Capital One.
-
Innovations: Open-source leadership in H2O-3 and Driverless AI; H2O AI Hybrid Cloud enabling on-premises, VPC, and air-gapped deployments for sovereign AI.
Key People
-
Sri Ambati – Founder & CEO | Drives vision to democratize AI and leads global partnerships and “AI for Good” initiatives.
-
Arno Candel – CTO | Oversees development of H2O-3, Driverless AI, and h2oGPTe platforms.
-
Prithvi Prabhu – Chief Technologist, Applications | Leads product strategy for Driverless AI and H2O Wave.
-
Asaf Shapira – VP Infrastructure & Security | Manages global cloud and on-premises deployments, ensuring compliance and performance.
-
Olivier Grellier – VP Data Science | Kaggle Grandmaster leading the data science team on advanced modeling and AutoML research.