# H2O AI Platform A sovereign AI platform for building, deploying, governing, and monitoring predictive, generative, and agentic AI. - Findings24: - Site: - Preços: Paid - Categorias: Infraestrutura para agentes de IA, Implantação de modelos de IA, Observabilidade de IA ## O que é H2O AI Platform? H2O AI Platform is a sovereign AI platform that brings predictive, generative, and agentic AI into one governed environment. It is designed for organizations that need to run AI across their own cloud, data center, managed private infrastructure, or air-gapped environments while retaining control of models, data, agents, and results. The platform combines AI development and deployment capabilities with observability and governance. Its H2O AI Super Agent orchestrates predictive, generative, and agentic workflows, while platform components support model creation, document processing, evaluation, monitoring, and production operations. ## O que H2O AI Platform pode fazer? ### Unified predictive, generative, and agentic AI Combines predictive modeling, generative AI, and agent-based workflows in one platform, coordinated by the H2O AI Super Agent. ### Deployment under organizational control Supports deployment in an organization's cloud, data center, or air-gapped environment, as well as a single-tenant managed cloud operated by H2O.ai. ### AI observability and governance Provides explainability, RAG and agent evaluation, drift and fairness monitoring, and a shared audit trail for AI workflows. ### Generative AI and document workflows Supports Agentic RAG with citations, Document AI, routing across models and hosts, and fine-tuning of smaller models through a secure model factory. ### Predictive model development and operations Includes AutoML, feature management, explainability, deployment, monitoring, retraining triggers, rollback, and audit capabilities. ## Casos de uso ### Regulated enterprise AI Financial services, healthcare, insurance, life sciences, and other regulated organizations can develop and operate AI with explainability, monitoring, governance, and control over deployment. ### Private generative AI assistants Teams can use enterprise document collections with Agentic RAG, citations, Document AI, and model routing while keeping models and data within a controlled environment. ### Production predictive modeling Data science and machine learning teams can build models with AutoML and feature management, then deploy and monitor them with drift, accuracy, fairness, retraining, and rollback workflows. ### Government and air-gapped operations Federal, defense, and intelligence teams can run predictive, generative, and agentic AI in infrastructure they control, including air-gapped environments. ## Perguntas frequentes ### What types of AI does H2O AI Platform support? The platform supports predictive, generative, and agentic AI, with the H2O AI Super Agent coordinating workflows across these capabilities. ### Where can the platform be deployed? Deployment options include an organization's cloud, data center, or air-gapped infrastructure, plus a single-tenant managed cloud operated and secured by H2O.ai. ### What governance and monitoring capabilities are included? The platform includes explainability, evaluation for RAG systems, language models, and agents, drift and fairness monitoring, and an audit trail. ### Can teams use their own models and data? The platform is designed for organizations to retain control of their agents, models, data, and results. Its generative AI capabilities support models from different hosts and fine-tuning of smaller models. ## Informações rápidas - **Category**: Enterprise AI platform - **Core AI types**: Predictive, generative, and agentic AI - **Primary users**: Regulated enterprises and public-sector organizations - **Deployment**: Customer-controlled infrastructure, air-gapped environments, or single-tenant managed cloud - **Key orchestration component**: H2O AI Super Agent - **Source domain**: h2o.ai