H2O.aiThe Trusted Sovereign AI Platform
vs
LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
Comparison · AI Agents · weekly run Nov 3
H2O.ai vs LangGraph
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
LangGraph is the stronger AI pick in AI Agents: it has a visibility score of 24.4 versus 0.4 for H2O.ai.
Choose H2O.ai if…
- You need FedRAMP High coverage
- Explainable, open-source-driven predictive and agentic tooling
- Go-to platform for automated machine learning (AutoML)
- Robust enterprise modeling and rapid deployment
Choose LangGraph if…
- You want the brand AI engines rank higher (24.4 vs 0.4)
- AI answers describe it more positively (44% vs 29% positive)
- You need a self-hosted or on-premises option
- You need ISO 27001:2022 or GDPR coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | H2O.ai | LangGraph |
|---|---|---|
| Visibility score | 0.4% | 24.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #70 | #4 |
| Share of voice | 0.2% | 5.3% |
| Mentions this run | 1 | 33 |
| Positive in AI answers | 29% | 44% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
H2O.ai 0pp · LangGraph 0pp over 0 weekly runs.
Engine by engine
LangGraph leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
H2O.aiLangGraph
Head to head in AI answers
0 engine answers name both brands
0H2O.ai ranked higher
0LangGraph ranked higher
Features, pricing & fit
| Dimension | H2O.ai | LangGraph |
|---|---|---|
| Deployment | On-premises, fully air-gapped, private cloud, or public cloud | SaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only. |
| Compliance | SOC 2 Type II, HIPAA, FedRAMP High | SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA |
| Support | Forward Deployed Engineers embedded on-site | — |
| Founded | 2012 | — |
| Headquarters | Mountain View, California, United States | San Francisco |
| Employees | 201–500 | — |
| Funding | Series E · $250M raised | Series B |
| Best for | Regulated enterprises and public-sector agencies that need predictive, generative and agentic AI on their own infrastructure, including air-gapped deployments. | Teams building long-running, stateful AI agents. |
Pros and cons
Themes from the AI answers that mention each brand
H2O.ai
- Explainable, open-source-driven predictive and agentic tooling
- Go-to platform for automated machine learning (AutoML)
- Robust enterprise modeling and rapid deployment
- Listed among enterprise end-to-end MLOps platforms
LangGraph
- Production standard for stateful, multi-agent workflows
- Strong engineering control for complex, cyclical agent logic
- Widely adopted open-source developer framework
- Best choice for autonomous AI agents
- Heavy developer framework that requires coding effort
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “H2O.ai vs LangGraph”, https://slateindex.ai/compare/h2o-ai-vs-langgraph, data of Nov 3, 2026. Licence: CC BY 4.0.