Akkio vs. IBM watsonx.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Akkio
Score 0.0 out of 10
N/A
Akkio is a predictive AI platform designed to offer rapid insights and predictions for everyday operations. It enables analysts, teams, and anyone who works with data to build machine learning models, as well as to prepare and explore their data to gain novel insights and build models that can be shared.
$49
per month
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
AkkioIBM watsonx.ai
Editions & Modules
Starter
$49
per month 1 user ($49 per month for each additional user)
Professional
$499
per month 5 users included ($49 per month for each additional)
Business
$1,499
per month 10 users included ($39 per month for each additional)
Enterprise
Custom
Essentials
$0
per month
Free Trial
$0
per month
Standard
$1,500
per month
Offerings
Pricing Offerings
AkkioIBM watsonx.ai
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsGet 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
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User Ratings
AkkioIBM watsonx.ai
Likelihood to Recommend
-
(0 ratings)
7.7
(4 ratings)
User Testimonials
AkkioIBM watsonx.ai
Likelihood to Recommend
Akkio Inc
No answers on this topic
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
Akkio Inc
No answers on this topic
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
Akkio Inc
No answers on this topic
IBM
  • APIs integration could be improved.
  • steep learnings for tuning AI models
  • performance lag
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Alternatives Considered
Akkio Inc
No answers on this topic
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
Akkio Inc
No answers on this topic
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

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.