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Google Cloud AI Platform vs UiPath AI Center comparison

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Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Cloud AI Platform
Ranking in AI Development Platforms
13th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
9
Ranking in other categories
No ranking in other categories
UiPath AI Center
Ranking in AI Development Platforms
23rd
Average Rating
8.6
Reviews Sentiment
4.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

TJ
Owner at Go knowledge
Streamlines app development with dynamic databases and an easy setup
I used Oracle APEX before Google Cloud AI Platform. Oracle APEX is a free tool, except for the Oracle database, which I can only use with it. To have more freedom, I chose Firebase and Google's solutions as it allows me to run it on a hosted server if I want to.
reviewer2894310 - PeerSpot reviewer
Software Consultant at a outsourcing company with 201-500 employees
Automated invoice workflows have transformed our document processing and reduced manual effort
UiPath AI Center offers several great features, including the ability to create datasets manually and automate the pipeline for retraining ML models. I can easily set a default timing or create a recurring pipeline to train the documents from Action Center, which provides me with a variety of features, with the easy user interface being one of the best aspects.The recurring pipeline scheduling has saved me a lot of time because I usually have to manually train and mark documents, but when users utilize my bot, they contribute to the data, marking approximately 50% of invoice extraction fields from Action Center. This allows the existing marked data to be automatically retrained, significantly saving me time as a developer and improving the training efficiency since multiple users are validating the invoices, generating a lot of data for training. UiPath AI Center has positively impacted my organization, particularly in automating the invoice extraction process, leading to significant cost savings and time reduction. Manually reading and posting invoices in SAP involves considerable time and effort, but by automating invoice extraction and posting, we now only require users to flag low-confidence fields, allowing for major cycle time reduction and cost savings in invoice processing. I estimate a 50 to 70% reduction in cycle time and roughly a 60% reduction in the required manual effort. Some humans still need to validate the extracted data, so it may be around 60 to 75%.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."
"A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational solution really quick."
"On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients."
"I have seen measurable benefits from Google Cloud AI Platform."
"The feedback left about these tools was really helpful and informative for us"
"We are trying our best to improve our existing models and privacy and to keep on updating it, and also we are trying to use reinforcement learning and separate APIs so that if a user wants to update their data, they can do so."
"Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour."
"The platform's Google Vision API is particularly valuable."
"UiPath AI Center has positively impacted my organization, particularly in automating the invoice extraction process, leading to significant cost savings and time reduction."
"UiPath AI Center is found to be very valuable because it has improved significantly in extracting information from each invoice."
 

Cons

"The initial setup was straightforward for me but could be difficult for others."
"I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite."
"The technical support from Google is not very fast. I think it is about a five out of ten even though they have courses online where I can learn a lot, if I really need support, I have to wait a very long time."
"Improvements in text extraction accuracy and pricing adjustments would be helpful."
"At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning."
"It could be more clear, and sometimes there are errors that I don't quite understand."
"One thing that I found is that Azure ML does not directly provide you with features on Google Cloud AI Platform, whereas Vertex provides some features of the platform."
"The model management on Google Cloud AI Platform could be better."
"To improve UiPath AI Center, clients need to be convinced to purchase a separate Document Understanding license because it is quite costly."
"One improvement I would like to see in UiPath AI Center is the addition of more ML models."
 

Pricing and Cost Advice

"The licenses are cheap."
"The price of the solution is competitive."
"For every thousand uses, it is about four and a half euros."
"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."
"The pricing is on the expensive side."
Information not available
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Top Industries

By visitors reading reviews
Comms Service Provider
13%
Computer Software Company
10%
Manufacturing Company
9%
Financial Services Firm
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise2
Large Enterprise2
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Google Cloud AI Platform?
For the most part, the pricing is perfect sinceit grows with the use of my app. In some cases, they could be more specific about the pricing, especially for some AI features.
What is your primary use case for Google Cloud AI Platform?
I use Google Cloud AI Platform due to Firebase and the many APIs that are available with it.
What advice do you have for others considering Google Cloud AI Platform?
I have knowledge of it, and I do recommend Google Cloud AI Platform to other people. I would definitely rate the overall solution as an eight out of ten.
What is your experience regarding pricing and costs for UiPath AI Center?
The pricing for UiPath AI Center is generally acceptable. If pricing could be broken down into simpler parts, such as offering a trial on extracting a specific number of invoices, it would help cli...
What needs improvement with UiPath AI Center?
One improvement I would like to see in UiPath AI Center is the addition of more ML models. Although it currently offers a variety, integrating with Hugging Face to access and deploy their models in...
What is your primary use case for UiPath AI Center?
The major use case I built using UiPath AI Center was for automated invoice extraction, where I created an ML model that extracts all the required fields from invoices. This helped me automate the ...
 

Also Known As

Google Cloud for AI
No data available
 

Overview

 

Sample Customers

Carousell
Information Not Available
Find out what your peers are saying about Google Cloud AI Platform vs. UiPath AI Center and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.