Google Vertex AI
NewGoogle Cloud's managed platform for training, deploying and operating ML models.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Google Vertex AI ranks #5 of 61 in MLOps Platforms with an AI visibility score of 33.1 (SlateIndex, Nov 2, 2026).
- Google Vertex AI is most visible on ChatGPT (40.2) and least on Google AI Mode (25.6).
- AI engines name Google Vertex AI in 27 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- amazon.com is the source AI engines cite most in answers about Google Vertex AI, with 29 citations.
About
Company details for Google Vertex AI
Vertex AI is a managed platform from Google Cloud that covers model training, deployment, generative AI, and MLOps in one environment. Its core modules include Pipelines, Feature Store, Model Registry, Model Monitoring, and managed Workbench notebooks. Models are registered and then deployed to a managed endpoint with a chosen machine type. Google has said the product is succeeded by Gemini Enterprise Agent Platform. It ranks #5 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 33.1 in the latest weekly run.
Founded in 2021 and headquartered in Mountain View, California, United States, the company employs an undisclosed number of people. Its differentiator: tight Google Cloud integration with no infrastructure to manage, according to reviewers.
- Website
- google.com
- Categories
- MLOps Platforms
- Headquarters
- Mountain View, California, United States
- Founded
- 2021
- Company type
- Division of Google
- Deployment
- Managed cloud service on Google Cloud
- Compliance
- ISO/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
Read from beri.net, en.wikipedia.org, gartner.com, cloud.google.com, betterclaw.io, thectoclub.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
AI mentions & citations
Recent answers that name Google Vertex AI
Best MLOps platform with AI features
Best overall: Google Vertex AI for teams prioritizing generative AI, managed model development, evaluation, deployment, and monitoring.
Which MLOps platform offers a free trial?
Google Vertex AI: $300 in Google Cloud credits valid for 90 days.
What should an MLOps platform integrate with?
Data lakes: S3, Azure Data Lake, Google Cloud Storage
Best MLOps platform with AI features
My recommendation: Start with Databricks Mosaic AI, Google Vertex AI, AWS SageMaker AI, and Weights & Biases.
How much does Apache Airflow cost?
For example, Google Cloud Composer (Managed Service for Apache Airflow) charges environment base fees starting around $0.35 to $0.55+ per hour plus metered CPU/memory usage.
How much does Apache Airflow cost?
Google Cloud Composer: environment fees start at $0.35/hour, with additional compute, memory, storage, and database charges.
How do I choose an MLOps platform for a mid-market team?
Google Cloud Vertex AI
How do companies deploy and monitor machine learning models without a dedicated tool?
Products & features
What Google Vertex AI sells
Vertex AI Pipelines
Serverless orchestrator that runs KFP or TFX pipelines.
Feature Store
Managed feature store for ML workflows.
Model Registry
Registers models before they are deployed to endpoints.
Model Monitoring
Detects skew and drift in deployed models.
Vertex AI Workbench
Managed notebooks for development.
Experiments and Vizier
Experiment tracking and hyperparameter tuning.
Model Garden
Catalog of 100+ models, including Gemini.
Strengths engines cite
- 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
Target market & buyers
Notable customers include GA Telesis.
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- May 2026ProductData Science Agent in Colab Enterprise generally available; Vertex AI Extensions deprecated
Data Science Agent in Colab Enterprise became generally available, and Vertex AI Extensions was deprecated.
- Apr 2026ProductGoogle announces Gemini Enterprise Agent Platform as successor to Vertex AI
Google announced Gemini Enterprise Agent Platform as the successor to Vertex AI.
- Apr 2026ProductVertex AI rebranded and expanded into an agent platform at Google Cloud Next 2026
At Google Cloud Next 2026, Vertex AI was rebranded and expanded into an agent platform.
- Mar 2026ProductVertex Explainable AI deprecated
Vertex Explainable AI was deprecated.
Competitive landscape
How Google Vertex AI compares with its top three alternatives
Google Vertex AI most often appears alongside Amazon SageMaker AI, MLflow, AWS in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
| Amazon SageMaker AI | 44.4% | 8% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Microsoft Azure Machine Learning | 28.4% | 6.5% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 31% · Neutral 52% · Mixed 17% of 48 engine answers that mention Google Vertex AI
Praised for
- 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
Criticised for
- less developer-centric for Python, Kubernetes and Git-based teams
- usage-based costs depend on compute, storage and API usage
Cite as: SlateIndex, “Google Vertex AI AI visibility profile”, https://slateindex.ai/brand/google-vertex-ai, data of Nov 2, 2026. Licence: CC BY 4.0.