Review Summary
See a synthesized overview of the key takeaways from verified reviews of Vertex AI.
Overview
Product Information on Vertex AI
Updated 13th October 2025
What is Vertex AI?
Vertex AI Pricing
Overall experience with Vertex AI
Manager Of Data And Analytics
1B - 3B USD, Energy and UtilitiesFAVORABLE
“Vertex AI Excels In Agent-Based Use Cases But Learning Curve Remains Steep”
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 BiotechCRITICAL
“Enterprise grade ML and AI tooling”
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
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- Manager Of Data And Analytics1B-10B USDEnergy and UtilitiesReview Source
Vertex AI Excels In Agent-Based Use Cases But Learning Curve Remains Steep
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. - Project Lead<50M USDServices (non-Government)Review Source
Integrated Machine Learning Workflow Streamlined by Vertex AI With Google Cloud Synergy
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 - Principal Product Manager50M-1B USDHealthcare and BiotechReview Source
Enterprise grade ML and AI tooling
A good ML/ML Ops platform from Google that offer unified application development tool that is enterprise grade with good governance - SOLUTIONS ARCHITECT1B-10B USDSoftwareReview Source
Extensive Documentation Eases Learning Curve for Google Cloud Infrastructure Tools
Google provides powerful, leading edge cloud infrastructure and the learning curve is small owing to the vast documentation and training resources available, including virtual and in person cloud skills labs. - Data Analyst50M-1B USDIT ServicesReview Source
Vertex AI Offers Easy LLM Model Deployment With Well-Structured Documentation
Vertex AI is easy to integrate and deploy LLM models, it has very clean documentation about the SDK.
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