Valohai vs ZenML

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

The short answer

ZenML is the stronger AI pick in MLOps Platforms: it has a visibility score of 6 versus 1.9 for Valohai, and ranks ahead in 0% of the answers that name both.

Choose Valohai if…

You need a self-hosted or on-premises option
Per seat pricing suits your budget better than flat tiers
14-day free trial

Choose ZenML if…

You want the brand AI engines rank higher (6 vs 1.9)
You want a free plan to start
AI answers describe it more positively (55% vs 20% positive)
You need ISO 27001 coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Valohai	ZenML
Visibility score	1.9%	6%
Change vs last week	New	New
Rank in MLOps Platforms	#30	#14
Share of voice	0.7%	1.5%
Mentions this run	5	11
Positive in AI answers	20%	55%

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

Visibility score trend

Weekly runs over the last 60 days

Valohai 0pp · ZenML 0pp over 0 weekly runs.

Engine by engine

ZenML leads on 2 of 3 engines

ChatGPT

2.2%

11.7%

AI Mode

6.3%

Perplexity

3.5%

ValohaiZenML

Head to head in AI answers

1 engine answers name both brands

1Valohai ranked higher

0ZenML ranked higher

Prompt	Engine	Valohai	ZenML
Official website of the top MLOps platform vendors	ChatGPT	#13	#17

Features, pricing & fit

Dimension	Valohai	ZenML
Pricing model	Per seat	Flat tiers
Entry price	Contact sales	Free; paid from $39 / mo
Free plan	No · 14-day trial	Yes
Deployment	Managed cloud, on-premises, private cloud or air-gapped environments, on the customer's own cloud infrastructure	Self-hosted open source, or ZenML's cloud. Enterprise runs on-prem or air-gapped in the customer's cloud, with data and compute staying in the customer's VPC.
Integrations	—	66+
Compliance	SOC 2 Type II	SOC 2 Type II, ISO 27001
Support	Technical support from the Customer Engineering team, Valohai Training academy, Training and onboarding resources	Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise
Founded	2016	2021
Headquarters	San Francisco, California, US	Munich, Germany
Employees	11–50	11–50
Funding	Seed · $2M raised	Seed extension · $6M raised
Best for	AI product and ML teams that combine LLMs with specialized models and need to run the work on their own cloud or on-premises infrastructure	Data science and ML engineering teams that want pipelines and AI agents run on their own infrastructure, and agent teams that want to find the evals they are missing.