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GalileoDon't just monitor AI failures. Stop them.
vs
Ray ServeScalable model serving library for building online inference APIs
Comparison · MLOps Platforms · weekly run Nov 2

Galileo vs Ray Serve

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

The short answer

Galileo is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.4 versus 0 for Ray Serve.

Choose Galileo if…

  • You want the brand AI engines rank higher (0.4 vs 0)

Choose Ray Serve if…

  • You need ISO/IEC 27001 coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric Galileo Ray Serve
Visibility score0.4%0%
Change vs last weekNewNew
Rank in MLOps Platforms#48#61
Share of voice0.2%0%
Mentions this run10
Positive in AI answers0%—

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

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Galileo 0%

Galileo 0pp · Ray Serve 0pp over 0 weekly runs.

Engine by engine

Galileo leads on 1 of 3 engines

ChatGPT
0%
0%
AI Mode
1.3%
0%
Perplexity
0%
0%
GalileoRay Serve

Head to head in AI answers

0 engine answers name both brands

0Galileo ranked higher
0Ray Serve ranked higher

Features, pricing & fit

DimensionGalileoRay Serve
DeploymentSaaS, Virtual Private Cloud, On-PremisesSelf-managed on a laptop, in a Docker container, on a managed Ray cluster, or on Kubernetes via KubeRay
ComplianceSOC 2 Type IISOC 2 Type II, ISO/IEC 27001
Support—Ray Community Slack, Hands-on training and expert support from the Anyscale team that created Ray
Headquarters—San Francisco, California
FundingSeries B · $68M raisedSeries C
Best forAI teams running GenAI applications and agents at enterprise scalePython teams serving machine learning models, including LLMs, as online inference APIs that need independent scaling

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Galileo vs Ray Serve”, https://slateindex.ai/compare/galileo-vs-ray-serve, data of Nov 2, 2026. Licence: CC BY 4.0.