Gavagai vs. IBM watsonx.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Gavagai
Score 10.0 out of 10
Enterprise companies (1,001+ employees)
Gavagai Explorer is a text analysis tool for companies that want to keep track of what their customers think – regardless of which language they speak. Explorer analyzes texts in 47 languages. The texts get automatically analyzed and the results are presented in interactive and share-able Dashboards. Gavagai understands meaning The majority of the text data it analyzes comes from sources such as surveys, reviews, emails, chat conversations, and social…
$3,000
Time used to Set Up
IBM watsonx.ai
Score 7.7 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
GavagaiIBM watsonx.ai
Editions & Modules
Small - 3 project slots -1200 credits
€ 120 per month - More or extra credits can be purchased
Number of Texts Analyzing, number of seats, number of projects
Medium - 10 project slots - 1200 credits
€ 400 per month - More or extra credits can be purchased
Number of Texts Analyzing, number of seats, number of projects
Large - 50 project slots - 1200 credits
€ 2,000 per month - More or extra credits can be purchased
Number of Texts Analyzing, number of seats, number of projects
The Entire Web Application
$3000.00
Time used to Set Up
Enterprise
quote: https://www.gavagai.io/request-quote/
Number of Texts Analyzing, number of seats, number of projects
Essentials
$0
per month
Free Trial
$0
per month
Standard
$1,500
per month
Offerings
Pricing Offerings
GavagaiIBM watsonx.ai
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsBuy extra credits at any time Bought credits never expireGet started building differentiated AI assets with watsonx.ai, our studio for generative AI, foundation models and machine learning. Scale up your AI use cases as needed with integrations to watsonx.data, a fit-for-purpose data store built on an open data lakehouse architecture, and watsonx.governance (coming soon), a toolkit to accelerate responsible, transparent and explainable AI workflows. Pricing 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
GavagaiIBM watsonx.ai
Top Pros

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Top Cons

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User Ratings
GavagaiIBM watsonx.ai
Likelihood to Recommend
10.0
(1 ratings)
7.7
(4 ratings)
User Testimonials
GavagaiIBM watsonx.ai
Likelihood to Recommend
Gavagai AB
Gavagai is well suited for a B2C business that receives a lot of customer feedback in a form of open-ended text. It makes life easier for the customer experience team to efficiently identify the strengths and areas of improvement for the business. It saves a lot of time and also the hassle of analysing text data manually. It is not just a word cloud tool that shows you the words with the most number of mentions. Gavagai directs you towards actionability.
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IBM
Based on my experience, I can recommend that you have a good AI management system in your company account, and if you have the money at your disposal to invest in IBM watsonx, do not hesitate. We are using API models to obviously build a work environment with sustainable flow as well. We have AI and ML lifecycle support.
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Pros
Gavagai AB
  • Simplifies text data.
  • Lets you customise your dashboard.
  • Sentiment analysis
  • Supports 47+ languages
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IBM
  • it has many Reliable tools for algorithm modeling visualization.
  • Highly secured, Integrated and all data optimized in one management
  • Easily prepared and extract data from document.
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Cons
Gavagai AB
  • Auto generated filters based on the data uploaded.
  • Adding more Indian regional languages.
  • Competitive pricing
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IBM
  • APIs integration could be improved.
  • steep learnings for tuning AI models
  • performance lag
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Alternatives Considered
Gavagai AB
I didn't evaluate many options while choosing Gavagai, I had explored a few local vendors whose capabilities were either incomplete or were not up to the mark. Their customer support was also quite poor. Also, the tool was debugged enough which led to frequent crashing. Alchmer although is not a direct competitor to Gavagai, since it's more of a customer feedback tool with additional capabilities of text analytics. I found Alchemer to be extremely expensive. Zonka on the other hand was quite welcoming to feedback from me and promised to develop additional capabilities for my specific requirements although the plan didn't go through due to internal reasons.
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IBM
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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Return on Investment
Gavagai AB
  • Helps save man hours.
  • Reduces the effort required to analyse big data.
  • Helps to act upon areas of improvement faster.
  • Indicates the strengths or things that are particularly liked by your customers.
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IBM
  • We have already met our objectives in creating a supportive environment.
  • This open-source tool increases the financial feasibility of the workflow.
  • High price.
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ScreenShots

Gavagai Screenshots

Screenshot of Using the Gavagai Explorer produces Topics from the text data. The Topics give you a granular understanding of the text data through understanding the Prevalence, Sentiment, and Associations.Screenshot of The language technology the Gavagai Explorer is built on.Screenshot of Customer Experience unstructured Text data analytics

IBM watsonx.ai Screenshots

Screenshot of 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 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 Tuning Studio in watsonx.ai where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of 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.