• Home
  • KAI vs. TensorFlow

KAI vs TensorFlow comparison

Cancel
You must select at least 2 products to compare!
Kasisto Logo

KAI

238 views|33 comparisons
TensorFlow Logo

TensorFlow

Read 16 TensorFlow reviews
6,271 views|3,973 comparisons
100% willing to recommend
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
AI Development Platforms
April 2024
Executive Summary

We performed a comparison between KAI and TensorFlow based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
Download the complete report
768,578 professionals have used our research since 2012.
Featured Review
Use KAI?
Jan-Kees Buenen
A powerful tool for image analytics that one can use with central and edge computing
We considered TensorFlow because we had a particular strategy for the hardware. We believe in a combination of central computing and edge... Read more →
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "TensorFlow is free."
  • "I think for learners to deploy a project, you can actually use TensorFlow for free. It's just amazing to have an open-source platform like TensorFlow to deploy your own project. Here in Russia no one really cares about licenses, as it is totally open source and free. My clients in the United States were also pleased to learn when they enquired, that licensing is free."
  • "We are using the free version."
  • "It is open-source software. You don't have to pay all the big bucks like Azure and Databricks."
  • "I did not require a license for this solution. It a free open-source solution."
  • "I am using the open-source version of TensorFlow and it is free."
  • "I rate TensorFlow's pricing a five out of ten."
  • "It is an open-source solution, so anyone can use it free of charge."

    • More TensorFlow Pricing and Cost Advice →

    report
    See Which Vendors Are Best For You
    Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
    See Recommendations
    768,578 professionals have used our research since 2012.
    Questions from the Community
    Ask a question

    Earn 20 points

    What do you like most about TensorFlow?
    Top Answer:It empowers us to seamlessly create and deploy machine learning models, offering a versatile solution for implementing sophisticated environments and various types of AI solutions.
    Read all 16 answers   →
    What is your experience regarding pricing and costs for TensorFlow?
    Top Answer:It is an open-source solution, so anyone can use it free of charge.
    Read all 13 answers   →
    What needs improvement with TensorFlow?
    Top Answer:The versatility of the concept is undeniable, but it can pose a challenge for developers unfamiliar with machine learning. For newcomers to the field, the learning curve can be steep, often requiring… more »
    Read all 16 answers   →
    Ranking
    21st
    out of 28 in AI Development Platforms
    Views
    238
    Comparisons
    33
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 28 in AI Development Platforms
    Views
    6,271
    Comparisons
    3,973
    Reviews
    7
    Average Words per Review
    534
    Rating
    9.0
    Comparisons
    Learn More
    Kasisto
    TensorFlow
    Overview

    KAI is a conversational AI platform powering virtual assistants and smart bots across mobile apps, websites, messaging platforms, and IoT devices.

    Built with industry-specific domain expertise, KAI-powered bots and virtual assistants are well-versed in your business whether that’s finance, commerce, or any other industry.

    TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

    Sample Customers
    DBS, J.P Morgan, absa, Standard Chartered
    Airbnb, NVIDIA, Twitter, Google, Dropbox, Intel, SAP, eBay, Uber, Coca-Cola, Qualcomm
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Manufacturing Company13%
    Computer Software Company12%
    Educational Organization11%
    University9%
    Company Size
    No Data Available
    REVIEWERS
    Small Business57%
    Midsize Enterprise21%
    Large Enterprise21%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Download Free Report
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    DOWNLOAD NOW
    768,578 professionals have used our research since 2012.

    KAI is ranked 21st in AI Development Platforms while TensorFlow is ranked 4th in AI Development Platforms with 16 reviews. KAI is rated 0.0, while TensorFlow is rated 9.0. On the other hand, the top reviewer of TensorFlow writes "Effective deep learning, free to use, and highly stable". KAI is most compared with Azure OpenAI, whereas TensorFlow is most compared with Microsoft Azure Machine Learning Studio, Google Vertex AI, OpenVINO, IBM Watson Machine Learning and Hugging Face.

    See our list of best AI Development Platforms vendors.

    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.