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Enterprise h2oGPTe: chat and Agentic RAG with citations, Document AI, any LLM from any host with cost controls, and the H2O AI Super Agent.
Enterprise h2oGPTeThe enterprise agentic and generative AI platform: Agentic RAG with citations, Document AI, any model from any host, and the H2O AI Super Agent, in one governed product.Request a demoDocumentation (opens in a new tab)
Enterprise h2oGPTe
The enterprise agentic and generative AI platform: Agentic RAG with citations, Document AI, any model from any host, and the H2O AI Super Agent, in one governed product.
Request a demoDocumentation (opens in a new tab)
The record9agent types in the Super Agent27built-in tools, plus MCP servers35%of the prior AI cost at AT&T, at 91% accuracy2023h2oGPT paper, arXiv 2306.08161
9agent types in the Super Agent
27built-in tools, plus MCP servers
35%of the prior AI cost at AT&T, at 91% accuracy
2023h2oGPT paper, arXiv 2306.08161
Enterprise h2oGPTe is H2O.ai's enterprise GenAI and agentic platform: chat and Agentic RAG with citations, Document AI, multi-model support, and the home of the H2O AI Super Agent.
It connects to OpenAI, Anthropic, Bedrock, Azure OpenAI, Databricks, vLLM, and Cascade-tuned models, with cost controls per user, team, and model.
It ships the H2O AI Super Agent with nine agent types, 27 tools, MCP servers, and A2A endpoints.
H2O.ai fine-tuned small language models reached 91% accuracy at 35% of the prior cost at AT&T; the Super Agent runs inside Ask AT&T.
Three capabilities in one tool, governed as one.
Enterprise GenAI, H2O Document AI, and the H2O AI Super Agent share one platform, one identity model, one audit trail, and one bill.
Chat and Agentic RAGAsk across contracts, policies, tickets, wikis, and scans. Answers cite the document and passage, with multi-step retrieval when one lookup will not do.
Document AIIngest PDFs, scans, faxes, images, and forms. OCR and layout understanding on Mississippi vision-language models. Tables and fields extracted and queryable.
Any model, any hostConnect OpenAI, Anthropic, Bedrock, Azure OpenAI, Databricks, or your own vLLM. Intelligent routing, with cost controls per user, team, and model.
The H2O AI Super AgentPlain English in; a plan, the tool calls, and the result out. Nine agent types, including Deep Research, Data Science, Tool Builder, and Code.
Make and connect agentsAgents Builder and Flow for custom agents. MCP servers for tools, local or remote. A2A endpoints so your agents talk to others.
GovernSSO and RBAC, collections with access control, and cost per user. Every prompt, retrieval, tool call, and answer logged, and evaluated in Eval Studio.
How you use itFrom a folder of documents to a governed assistant, to an agent that acts.01IngestUpload or connect document sources. Document AI parses the scans, tables, and forms for you.02AskChat with citations to the source. Choose the model per collection, and set cost limits.03AutomateTurn a workflow into an agent. Connect tools over MCP, and add an approval gate.04GovernAudit every step, evaluate the RAG and agents in Eval Studio, and attribute the cost.
How you use itFrom a folder of documents to a governed assistant, to an agent that acts.