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GalileoDon't just monitor AI failures. Stop them.
vs
Google Vertex AIGoogle Cloud's managed platform for training, deploying and operating ML models.
Comparison · MLOps Platforms · weekly run Nov 2

Galileo vs Google Vertex AI

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

The short answer

Google Vertex AI is the stronger AI pick in MLOps Platforms: it has a visibility score of 33.1 versus 0.4 for Galileo.

Choose Galileo if…

  • You need SOC 2 Type II coverage

Choose Google Vertex AI if…

  • You want the brand AI engines rank higher (33.1 vs 0.4)
  • AI answers describe it more positively (31% vs 0% positive)
  • You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or ISO/IEC 42001 or SOC 1 or SOC 2 or SOC 3 or HIPAA-related attestations or PCI DSS or FedRAMP-related items coverage
  • unified ML platform across the lifecycle

AI visibility side by side

Latest weekly run · Nov 2

Metric Galileo Google Vertex AI
Visibility score0.4%33.1%
Change vs last weekNewNew
Rank in MLOps Platforms#48#5
Share of voice0.2%7.2%
Mentions this run149
Positive in AI answers0%31%

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 · Google Vertex AI 0pp over 0 weekly runs.

Engine by engine

Google Vertex AI leads on 3 of 3 engines

ChatGPT
0%
40.2%
AI Mode
1.3%
25.6%
Perplexity
0%
33.5%
GalileoGoogle Vertex AI

Head to head in AI answers

0 engine answers name both brands

0Galileo ranked higher
0Google Vertex AI ranked higher

Features, pricing & fit

DimensionGalileoGoogle Vertex AI
DeploymentSaaS, Virtual Private Cloud, On-PremisesManaged cloud service on Google Cloud
ComplianceSOC 2 Type IIISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO/IEC 42001, SOC 1, SOC 2, SOC 3, HIPAA-related attestations, PCI DSS, FedRAMP-related items
Founded—2021
Headquarters—Mountain View, California, United States
FundingSeries B · $68M raised—
Best forAI teams running GenAI applications and agents at enterprise scale—

Pros and cons

Themes from the AI answers that mention each brand

Galileo

Profile in progress.

Google Vertex AI

  • unified ML platform across the lifecycle
  • strong Google Cloud integration
  • strong support for generative and foundation models
  • robust MLOps and agentic workflow support
  • $300 starter credits
  • less developer-centric for Python, Kubernetes and Git-based teams
  • usage-based costs depend on compute, storage and API usage

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

Cite as: SlateIndex, “Galileo vs Google Vertex AI”, https://slateindex.ai/compare/galileo-vs-google-vertex-ai, data of Nov 2, 2026. Licence: CC BY 4.0.