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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM watsonx.ai

    Score8.8 out of 10
    N/AWatsonx.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

    LiveChat

    Score6.8 out of 10
    Small Businesses (1-50 employees)
    LiveChat serves as a customer service platform with live chat support, help desk and web analytics functionalities, with the goal of allowing users to provide 24/7 support to customers. The core feature of the software is its chat tool, where both service and sales team can answer customers' questions in real time. Online businesses can interact with customers on their website, to be more accessible. With LiveChat, users can identify people on the website and engage…

    $25

    per month per user

    Pricing
    IBM watsonx.aiLiveChat
    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
    Contact Sales
    Usage based fees
    Starter
    $25
    per month
    Team
    $59
    per month per person
    Business
    $89
    per month per person
    Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    IBM watsonx.aiLiveChat
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo 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.Discount available for annual billing.
    More Pricing Information
    Features
    IBM watsonx.aiLiveChat
    AI Development
    Comparison of AI Development features of IBM watsonx.ai and LiveChat
    Feature
    IBM watsonx.ai
    6.6
    2 Ratings
    13% below category average
    LiveChat
    -
    Ratings
    Machine learning frameworks6.73 Ratings00 Ratings
    Data management6.43 Ratings00 Ratings
    Data monitoring and version control5.83 Ratings00 Ratings
    Automated model training6.43 Ratings00 Ratings
    Managed scaling7.03 Ratings00 Ratings
    Model deployment6.43 Ratings00 Ratings
    Security and compliance7.63 Ratings00 Ratings
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    IBM watsonx.aiLiveChat
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    Score8.2 out of 10
    Genesys DX (discontinued)
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM watsonx.aiLiveChat
    Likelihood to Recommend
    9.2
    (36 ratings)
    8.0
    (44 ratings)
    Likelihood to Renew
    6.4
    (1 ratings)
    10.0
    (1 ratings)
    Usability
    7.7
    (6 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    7.3
    (3 ratings)
    Ease of integration
    6.4
    (2 ratings)
    -
    (0 ratings)
    Product Scalability
    9.1
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM watsonx.aiLiveChat
    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.
    Incentivized
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    Text
    We needed a mechanism in place to make contact with visitors to our website easier. What we discovered is that it's an excellent tool for creating reports and dashboards that show how soon issues are handled. Our website can now be updated in real-time, and all of our internal teams are really excited to use this fantastic technology. I really recommend [LiveChat] to many friends and past colleagues.
    Incentivized
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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.
    Incentivized
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    Text
    • The most important factor of Livechat is their own chat support, I had many requirement from the Sales Head, Support Head to implement features that I was unsure if the product could do. However, as I did the implementation one by one I constantly used the chat support which helped me step by step all the way.
    • The UX of the product is pretty simple and intuitive to use. There are quite a few features that we could easily plug and play. We tried going to the market to find a solution that could help us but they did not have as many out of the box features and simple to use
    • Their integration between LiveChat and Chatbot is pretty seamless and since both of them are from the same company, it's works pretty well.
    Incentivized
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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
    Incentivized
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    Text
    • It has a limited amount of agents, so when you have many customer care employees during one shift it is hard to manage the quantity of active agents.
    • When system is overloaded and many customers are waiting in a queue it starts to works slowly (sometimes the program even lags) and you need to refresh the system to write a message.
    • Occasionally when you open a new tab, you might lose your current conversation.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Text
    No answers on this topic
    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.
    Incentivized
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    Text
    No answers on this topic
    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.
    Incentivized
    Read full review
    Text
    The only issues I have had with LiveChat are the technical glitches within the program. These are not common as in everyday occurrences but when the glitches do happen they tend to have very negative repercussions. This is due to chats with customers being dropped, this may be an internal server issue though and may not happen for everyone.
    Incentivized
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    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.
    Incentivized
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    Text
    Overall very similar in design, but LiveChat had a better interface, better reporting and analytic tools, better mobile support, and just an easier overall feel. The two products are very much alike in the vast majority of ways, but I ended up preferring this product overall. Price points were similar as well, as well as the allowed number of users.
    Incentivized
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    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.
    Incentivized
    Read full review
    Text
    No answers on this topic
    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
    Incentivized
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    Text
    • We have a small team so the overall impact is that it is easy for one or two employees to handle a large number of tickets without hiring more people. Plus, you can use this software remotely, save a ton on traveling to and from and office.
    Incentivized
    Read full review
    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.

    LiveChat Screenshots

    Screenshot of Chat Widget and Agent AppScreenshot of Customer detailsScreenshot of Traffic sectionScreenshot of ReportsScreenshot of Team managementScreenshot of Chat Widget customization