by H2O.ai

h2oGPTe

Name: h2oGPTe
Author: H2O.ai

Enterprise multi-agent AI platform combining generative and predictive AI — with deep research, document intelligence, and autonomous workflow execution on private data.

h2oGPTe is H2O.ai's flagship enterprise agentic AI platform, built for deep research, document intelligence, and autonomous workflow execution on private data. It supports two agent types: General Agents for research, content creation, and automation, and Data Science Agents for AutoML experiments, statistical analysis, and H2O Driverless AI integration. Agents can search the web, execute code, generate charts, create presentations, transcribe video, integrate with GitHub, and run shell scripts — all from natural language. In March 2025, h2oGPTe achieved #1 on the General AI Assistant (GAIA) benchmark, outperforming models from Google, Microsoft, and OpenAI. Supports air-gapped, on-premise, hybrid, and managed cloud deployment with Amazon Bedrock integration. Built-in PII controls, role-based access, guardrails, and multimodal RAG with citation support make it compliance-ready for regulated industries. Deployed by AT&T (90% call center cost reduction), Commonwealth Bank of Australia (70% scam loss reduction), Citi, GlaxoSmithKline, and Chipotle.

Capabilities

deep-researchdata-analysisautonomousworkflow-buildermultilingualcitationsweb-searchcode-generation

Pros & Limitations

Editorial assessment

Pros

✓#1 on GAIA deep research benchmark (March 2025) — outperformed Google, Microsoft, and OpenAI
✓Two agent types: General Agent for research/automation + Data Science Agent for AutoML and ML workflows
✓Full tool suite — web search, code execution, image generation, GitHub, shell scripts, presentations
✓Air-gapped and on-premise deployment for maximum data sovereignty
✓Built-in PII controls, guardrails, RBAC, and citation support for regulated industries
✓Proven at Fortune 500 scale across finance, healthcare, and telco