Name: Vertex AI
Rating: 4.4 (263 reviews)

Overview

Product Information on Vertex AI

Updated 13th October 2025

What is Vertex AI?

Vertex AI is a software developed by Google that facilitates the building, deployment, and management of machine learning models in cloud environments. The software integrates tools for data labeling, model training, hyperparameter tuning, and model evaluation, supporting both custom and pre-trained models. It allows users to operationalize models with monitoring and automated deployment features, while providing scalability across various data types and use cases. Vertex AI addresses business challenges related to implementing machine learning solutions by offering a unified platform to streamline workflows, reduce maintenance complexities, and enable version control and collaboration among teams.

Overall experience with Vertex AI

Manager Of Data And Analytics

1B - 3B USD, Energy and Utilities

FAVORABLE

“Vertex AI Excels In Agent-Based Use Cases But Learning Curve Remains Steep”

4.0

Jan 13, 2026

We have used Vertex AI to test AI agents including voice, customer service agents rather than classsic ML projects. Overall I believe it is a solid and flexible platform, specially if you are already working on GCP. Not simple to master though.

Principal Product Manager

250M - 500M USD, Healthcare and Biotech

CRITICAL

“Enterprise grade ML and AI tooling”

3.0

Jan 3, 2026

A good ML/ML Ops platform from Google that offer unified application development tool that is enterprise grade with good governance

About Company

Company Description

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Company type

Public

Year Founded

1998

Head office location

Mountain View, CA, United States

Annual Revenue

30B+ USD

Website

www.google.com

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User Sentiment About Vertex AI

Reviewer Insights for: Vertex AI

Deciding Factors: Vertex AI Vs. Market Average

Performance of Vertex AI Across Market Features

Vertex AI Likes & Dislikes

The integration with the rest of the GCP is the biggest strength. Managing models and endpoints works well for conversational and agent-based use cases. You have a lot of flexibility to mix managed models with your own logic, combining different LLMs as well (Gemini and 3rd parties). In addition, the managed infrastructure saves time and money.

As a member of the tech team, I like the reliability that comes from Google. It also has a good ML base with foundational models to guide you through AI app development

The best thing about it is that I can manage data preparation model development, deployment & monitoring all in one platform. Then I would say it allows custom coding for advanced work and autoML for faster model development and infrastructure scaling is handled by Google Cloud, which really saves a lot of time

Costs can grow faster than expected if not managed carefully, especially when testing voice agents based on end-points. Not the best user experience for not advanced players

It is harder to use than some of its competitors and requires a steeper learning curve It is not app centric as it focusses mainly on ML platform so devs need additional hand holding on agentic deployments on app Service and suport can be improved

I would say that it takes time to understand the platform properly, especially for beginners. Another thing I would say is that it works best inside Google Cloud so it may not be ideal if your system is on another platform. Pricing is based on usage & compute costs can go up if not carefully monitored

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Recommended Gartner Insights

1B-10B USD

Energy and Utilities

Review Source

Vertex AI Excels In Agent-Based Use Cases But Learning Curve Remains Steep

Project Lead

<50M USD

Services (non-Government)

Integrated Machine Learning Workflow Streamlined by Vertex AI With Google Cloud Synergy

5.0

Feb 18, 2026

I used Vertex AI for machine learning projects and it is a very good and reliable platform. It makes it easier to build and deploy models all in one place. It supports both coding and low code options so depending on the project we can write custom code or use autoML Overall i believe it is a powerful platform for ML projects, especially if you are already working with Google Cloud

DIRECTOR OF INFORMATION MANAGEMENT

50M-1B USD

IT Services

Unified Data Workflow Benefits Offset by Outdated Documentation and Endpoint Limitations

Nov 16, 2025

Vertex AI has the advanced level of security which provides me a peace of mind also i can connect it with other services and it has scalable training and compute so it depends on the workload.

Healthcare and Biotech

Enterprise grade ML and AI tooling

MACHINE LEARNING/ AI ENGINEER

Software

Enhanced MLOps Features in Vertex AI Offset by Steady Costs From Idle Endpoints

Oct 11, 2025

Vertex AI allows a finer degree of control over the complete workflow from training to deployment and monitoring. Vertex AI integrates well with Google Cloud Storage and there is an improvement in the performance of most out-of-the-box models compared to the older AutoML models. Pricing is more complex as it varies by region and tiers (based on usage). Additionally, costs are computed on node hours, so charges are incurred even when the Vertex AI endpoints are idle.