AI Agent Index
ByHeather MacAvelia·Last verified May 25, 2026
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h2oGPTe

4.2/ 5

by H2O.ai

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

From

Custom

custom

GitHub

Stars

G2

Rating

MCP

No

Compatible

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.

Pricing

custom

Segment

enterprise

Setup

complex

Verified

May 25, 2026

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
  • Air-gapped and on-premise deployment for maximum data sovereignty

Limitations

  • Enterprise-only — no self-serve pricing, requires sales contact
  • Complex deployment requiring dedicated implementation resources
  • Steeper learning curve than point solutions like Perplexity or Elicit

Technical Details

Deployment
cloudon-premiseapi
Avg setup time2-4 weeks (sales contact, pilot scoping, dedicated implementation)
Autonomous rate#1 on GAIA benchmark March 2025
Integrations
Google DriveSharePointSlackMicrosoft TeamsAmazon BedrockGitHubGoogleBing
Security
SOC 2GDPRISO 27001

Similar agents

Rating

4.2/ 5

Editorial score

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Industries

EnterpriseFinanceHealthcareB2BCloudAWS

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