ClayBuild systems to grow revenue
vs
H2O.aiThe Trusted Sovereign AI Platform
Comparison · AI Agents · weekly run Nov 3
Clay vs H2O.ai
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Clay is the stronger AI pick in AI Agents: it has a visibility score of 0.7 versus 0.4 for H2O.ai.
Choose Clay if…
- You want the brand AI engines rank higher (0.7 vs 0.4)
- AI answers describe it more positively (33% vs 29% positive)
- You need ISO 27001 or GDPR or CCPA coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
Choose H2O.ai if…
- You need HIPAA or 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
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Clay | H2O.ai |
|---|---|---|
| Visibility score | 0.7% | 0.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #65 | #70 |
| Share of voice | 0.2% | 0.2% |
| Mentions this run | 1 | 1 |
| Positive in AI answers | 33% | 29% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Clay 0pp · H2O.ai 0pp over 0 weekly runs.
Engine by engine
Clay leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
ClayH2O.ai
Head to head in AI answers
0 engine answers name both brands
0Clay ranked higher
0H2O.ai ranked higher
Features, pricing & fit
| Dimension | Clay | H2O.ai |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $167 / mo | — |
| Free plan | Yes | — |
| Deployment | — | On-premises, fully air-gapped, private cloud, or public cloud |
| Compliance | SOC 2 Type II, ISO 27001, GDPR, CCPA | SOC 2 Type II, HIPAA, FedRAMP High |
| Support | Priority support queue on Growth plan, Dedicated Slack channel on Enterprise plan, Dedicated growth strategist on Enterprise plan | Forward Deployed Engineers embedded on-site |
| Founded | 2017 | 2012 |
| Headquarters | New York City, NY, United States | Mountain View, California, United States |
| Employees | 1,001–5,000 | 201–500 |
| Funding | Series B Expansion | Series E · $250M raised |
| Best for | GTM engineers and revenue teams that build their own prospecting, enrichment and outbound workflows. | Regulated enterprises and public-sector agencies that need predictive, generative and agentic AI on their own infrastructure, including air-gapped deployments. |
Plans side by side
Clay
Free$0month
Launch$167month (starting price as shown; monthly from $185 per FAQ)
Growth$446month (starting price as shown; monthly from $495 per FAQ)
EnterpriseCustomcustom, annual commitment
H2O.ai
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Clay
Profile in progress.
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
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Clay vs H2O.ai”, https://slateindex.ai/compare/clay-vs-h2o-ai, data of Nov 3, 2026. Licence: CC BY 4.0.