Your NextGen AI ecosystem
October 15, 2025

Your NextGen AI ecosystem

Nikhil Jaitak | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM watsonx.ai

We use this to tune the llm, do prompting, deploy the models and then iterate for our multiple projects in medical domain like claims system, aba, chatbots etc. We are solving medical problems like medical record summarization, chatbot for QA from medical Record , ic code lookup and claims submission forms. It gives a good ecosystem of tools for miltiple usecases and all embedded within the same environment thats a great advantage and also using langchain is also great.

Pros

  • Integration with other systems
  • Deployment option within same exosyatem is great and can easily deploy any model .
  • Security layer for governing and hace insights to see the predictions and ai studio is also good

Cons

  • 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
  • For one of the usecase we were able to save 1.3 million dollar by creating the COB project in 2 months by leveraging the whole ecosystem and savibg of approximately 2800 hrs per annum
  • For the icd usecase wherre we have used the graph memgraph using docker to deploy it and created graphs and then created inference pipeline saved 20 minutes per medical coder and approximately of 3.5 million dollar savings as claims submission verifying on the payer side is a lengthy process
Data access is very convenient. We can easiky integratevwith existibg datavlakes and many databases there are built in ai tools which help to speed up the development and we can complete the project on time even scaling is very effortless. Analysis is very good the graph creation is ultimate which makes it a great profucy
Inthink the whole ecosystem is effortless otherwise in other provider there are many knobs to adjust for the whole ecosystem it doesnt have many and can be easily used
We selected mostly due to the data security and governance as we are a healthcare organisation this is the utmost important to us

Do you think IBM watsonx.ai delivers good value for the price?

Yes

Are you happy with IBM watsonx.ai's feature set?

Yes

Did IBM watsonx.ai live up to sales and marketing promises?

Yes

Did implementation of IBM watsonx.ai go as expected?

Yes

Would you buy IBM watsonx.ai again?

Yes

For genai apps its very good i can say where we don't have to worry about the whole ecosystem their whole ecosystem is flawless and very powerful analytical capabilities. It maintains the data Quality and data security. When cost is concerned and when there are large data involved. It becomes costly and tuning of model is not straightforward as there is no proper active community for which we can take help

IBM watsonx.ai Feature Ratings

Model catalog
9
Machine learning frameworks
9
Data integration
8
Data management
10
Data monitoring and version control
10
Automated model training
10
Managed scaling
9
Model deployment
10
Security and compliance
10

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