H2O.aiThe Trusted Sovereign AI Platform

ModalCloud infrastructure for teams that develop, train, and serve AI applications at scale.

Comparison · MLOps Platforms · weekly run Nov 2

H2O.ai vs Modal

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

H2O.ai is the stronger AI pick in MLOps Platforms: it has a visibility score of 2.2 versus 1.3 for Modal, and ranks ahead in 0% of the answers that name both.

Choose H2O.ai if…

You want the brand AI engines rank higher (2.2 vs 1.3)
You need FedRAMP High coverage
Explainable, open-source-driven predictive and agentic tooling
Go-to platform for automated machine learning (AutoML)

Choose Modal if…

Strong for scaling cutting-edge generative AI and multi-modal models

AI visibility side by side

Latest weekly run · Nov 2

Metric	H2O.ai	Modal
Visibility score	2.2%	1.3%
Change vs last week	New	New
Rank in MLOps Platforms	#27	#36
Share of voice	1%	0.5%
Mentions this run	7	3
Positive in AI answers	29%	—

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

H2O.ai 0pp · Modal 0pp over 0 weekly runs.

Engine by engine

H2O.ai leads on 2 of 3 engines

ChatGPT

2.8%

AI Mode

1.9%

3.9%

Perplexity

1.9%

H2O.aiModal

Head to head in AI answers

1 engine answers name both brands

0H2O.ai ranked higher

1Modal ranked higher

Prompt	Engine	H2O.ai	Modal
What are the best MLOps Platforms tools in 2026?	AI Mode	#12	#5

Features, pricing & fit

Dimension	H2O.ai	Modal
Pricing model	—	Usage-based
Entry price	—	Free; paid from $250 / mo
Free plan	—	Yes
Deployment	On-premises, fully air-gapped, private cloud, or public cloud	Serverless cloud capacity pooled from more than 20 cloud providers, with regions across the US, Europe, Asia Pacific and other areas.
Compliance	SOC 2 Type II, HIPAA, FedRAMP High	SOC 2 Type II, HIPAA
Support	Forward Deployed Engineers embedded on-site	Modal Community Slack on Starter and Team plans, Private Slack support and embedded ML engineering services on Enterprise
Founded	2012	2021
Headquarters	Mountain View, California, United States	New York City, NY, United States
Employees	201–500	201–500
Funding	Series E · $250M raised	Series D · $1200M raised
Best for	Regulated enterprises and public-sector agencies that need predictive, generative and agentic AI on their own infrastructure, including air-gapped deployments.	Startups, independent developers and larger teams that run GPU inference, fine-tuning or agent sandboxes and want to pay only for compute used.