H2O.ai delivers sovereign AI for the enterprise with the tagline "Your data. Your environment. Our AI." The platform specializes in deep research capabilities and offers comprehensive AI solutions including their flagship h2oGPTe platform for generative AI, H2O Danube small language models, and H2OVL Mississippi for document AI. H2O.ai is trusted by major enterprises and provides air-gapped, on-premises deployments while maintaining full control over data and AI models, making it ideal for organizations with strict security and compliance requirements.

• Enterprise-grade security with SOC2 Type 2 + HIPAA/HITECH compliance
• Full data ownership and control with air-gapped deployment options
• Cost optimization - up to 25x cheaper with open-source models
• Industry recognition - Gartner Magic Quadrant leader for multiple years
• Comprehensive AI stack from data prep to model deployment

• Comprehensive Python client APIs for custom applications
• Integration with AWS, Databricks, Snowflake, and major cloud platforms
• Support for 30+ LLMs including proprietary and open-source models
• Kubernetes scalability for enterprise deployment

• Enterprise Organizations with complex AI requirements
• Financial Services needing regulatory compliance and risk management
• Healthcare Organizations requiring HIPAA compliance
• Government Agencies needing secure, on-premises AI
• Data Scientists and AI researchers in enterprise environments

• SOC2 Type 2 certification
• HIPAA/HITECH compliance
• Air-gapped deployment options
• Enterprise-grade security controls

• Days to weeks for cloud deployment, weeks to months for full enterprise on-premises setup

• Dataiku - Enterprise data science platform
• Databricks - Unified analytics platform
• Azure ML - Microsoft's cloud ML platform

• h2oGPTe Platform - Enterprise generative AI with document processing
• H2O Danube SLMs - Small language models for efficient processing
• H2OVL Mississippi - Multimodal OCR model for document AI
• Air-Gapped Deployment - On-premises and private cloud options
• Model Risk Management - First-ever MRM for generative AI
• Multi-Modal Document AI - Process diagrams, flowcharts, and complex documents
• Cost Control - Mix proprietary and open-source models for optimization