IBM watsonx.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM watsonx.ai
Score 8.7 out of 10
N/A
Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
$0
Pricing
IBM watsonx.ai
Editions & Modules
Free Trial
$0
ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
Standard
$1,050
Monthly tier fee; additional usage based fees
Essentials
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Usage based fees
Offerings
Pricing Offerings
IBM watsonx.ai
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level Setup FeeNo setup fee
Additional DetailsPricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.
More Pricing Information
Community Pulse
IBM watsonx.ai
Considered Both Products
IBM watsonx.ai
Chose IBM watsonx.ai
I think Microsoft is getting behind on this technology (we did a comparison), so we are deciding to bet for IBM.
Chose IBM watsonx.ai
We selected mostly due to the data security and governance as we are a healthcare organisation this is the utmost important to us
Chose IBM watsonx.ai
The strength of the IBM watsonx.ai is that it doesn't extrapolate answers it doesn't have in the LLM which could be misleading.
Chose IBM watsonx.ai
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind …
Chose IBM watsonx.ai
In my experience, IBM watsonx.ai is good
Chose IBM watsonx.ai
About the same features, but these two require extensions and plug-ins to have the same functionalities
Chose IBM watsonx.ai
the governance of AI its very important for the develop and cycle of AI models
Chose IBM watsonx.ai
We chose IBM watsonx.ai for our organization because, in our opinion, IBM watsonx.ai has a Better UI
Chose IBM watsonx.ai
I wasn't part of consideration of other tools!
Chose IBM watsonx.ai
IBM watsonx.ai has a far richer an more poowerful toolset for running scale AI services.
Chose IBM watsonx.ai
IBM watsonx.ai stands out in the ecosystem of artificial intelligence tools for its combination of flexibility, scalability and the ability to integrate multiple services in a single environment

IBM watsonx.ai se destaca no ecossistema de ferramentas de inteligência artificial …
Chose IBM watsonx.ai
To identify IBM watsonx.ai, our team has reviewed other AI choices we met from Google's Vertex AI and AI services provided by OpenAI. Even those offered strong generative capabilities; what was not found in IBM watsonx.ai were the several enterprise attributes that were …
Chose IBM watsonx.ai
The use cases of code explanation, code suggestion, code review, and code conversions from one language to another were relatively easy to build in Watson.ai than using CoPilot. I found that the contextualization of code for a packaged solution is easier to do in Watsonx.ai …
Chose IBM watsonx.ai
This is actually my first job, and I haven't had any experience with products other than IBM's because I am working for an IBM business partner. However, we leverage Watson.data for other tasks, such as storing data or creating an elastic search database for all our documents …
Chose IBM watsonx.ai
I think that the user interface is where IBM watsonx.ai shines the most compared to competitors.
There is a visual tool to build AI pipelines in a very easy and instinctive way, that anybody can master in no time I think.
Chose IBM watsonx.ai
IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world.
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User Ratings
IBM watsonx.ai
Likelihood to Recommend
9.1
(33 ratings)
Likelihood to Renew
6.4
(1 ratings)
Usability
7.9
(6 ratings)
Ease of integration
6.4
(2 ratings)
Product Scalability
9.1
(1 ratings)
User Testimonials
IBM watsonx.ai
Likelihood to Recommend
IBM
I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
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Pros
IBM
  • It allows specialists to apply several base models for specific subtasks in the field of NLP.
  • Gives the availability of many models developed for AI enhancement for different solutions.
  • Has incorporated functionality for data governance and security to support access to AI tools by multiple users.
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Cons
IBM
  • IBM watsonx.ai is expensive than other platforms.
  • Limited integraions though it has many but still some tools integrations not there for medical usecase
  • Its little difficult to learn as right now not many open reseouces
  • Community is not that strong to get any answer
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Likelihood to Renew
IBM
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
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Usability
IBM
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
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Support Rating
IBM
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
Read full review
Alternatives Considered
IBM
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
Read full review
Scalability
IBM
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
Read full review
Return on Investment
IBM
  • Time saving to set up the infrastructure - without watsonx.ai we would have had to set up everything individually
  • The first point translates directly into cost savings
  • The compliance aspect was a game changer for us and provided us with the confidence to focus all our efforts only on IBM watsonx.ai
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ScreenShots

IBM watsonx.ai Screenshots

Screenshot of the foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of the Prompt Lab in watsonx.ai, where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of the Tuning Studio in watsonx.ai, where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of the data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.