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Best Data Science and Machine Learning Platforms - Page 6

Blue Bowen
BB
Researched and written by Blue Bowen

Data science and machine learning (DSML) platforms provide users with tools to build, deploy, and monitor machine learning algorithms. These software platforms combine intelligent, decision-making algorithms with data, thereby enabling developers to create a business solution. Some data science and machine learning platforms offer prebuilt algorithms and simplistic workflows with features such as drag-and-drop modeling and visual interfaces that easily connect necessary data to the end solution, while others require a greater knowledge of development and coding. These algorithms can include functionality for image recognition, natural language processing, voice recognition, and recommendation systems, in addition to other machine learning capabilities.

The nature of some DSML engineering platforms enables users without intensive data science skills to benefit from the platforms’ features. AI platforms are very similar to platforms as a service (PaaS), which allow for basic application development, but these products differ by offering machine learning options.

To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:

Present a way for developers to connect data to the algorithms for them to learn and adapt
Allow users to create machine learning algorithms and/or offer prebuilt machine learning algorithms for more novice users
Provide a platform for deploying AI at scale
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Featured Data Science and Machine Learning Platforms At A Glance

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end ma

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • JADBio AutoML features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    7.5
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.2
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GnosisDA
    Year Founded
    2013
    HQ Location
    Los Angeles, US
    Twitter
    @WeAreJADBio
    346 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end ma

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
JADBio AutoML features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
7.5
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.2
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
GnosisDA
Year Founded
2013
HQ Location
Los Angeles, US
Twitter
@WeAreJADBio
346 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
(47)4.5 out of 5
View top Consulting Services for Labelbox
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Labelbox Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Data Labeling
    7
    Easy Integrations
    7
    Efficiency
    6
    Features
    6
    Cons
    Slow Performance
    3
    Slow Processing
    3
    Difficult Learning
    2
    Expensive
    2
    Lack of Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Labelbox features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Labelbox
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @labelbox
    3,149 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    356 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 38% Mid-Market
Labelbox Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Data Labeling
7
Easy Integrations
7
Efficiency
6
Features
6
Cons
Slow Performance
3
Slow Processing
3
Difficult Learning
2
Expensive
2
Lack of Features
2
Labelbox features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
9.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Labelbox
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@labelbox
3,149 Twitter followers
LinkedIn® Page
www.linkedin.com
356 employees on LinkedIn®

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Turn ideas into AI, Lightning fast Code together. Prototype. Train. Deploy. Host AI web apps. From your browser - with zero setup

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Lightning AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Integration
    3
    Automation
    2
    Coding Ease
    2
    Ease of Use
    2
    Easy Integrations
    2
    Cons
    Cost
    1
    Data Management Issues
    1
    Difficult Setup
    1
    Expensive
    1
    Implementation Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Lightning AI features and usability ratings that predict user satisfaction
    7.9
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    6.3
    Natural Language Understanding
    Average: 8.2
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    90 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Turn ideas into AI, Lightning fast Code together. Prototype. Train. Deploy. Host AI web apps. From your browser - with zero setup

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
Lightning AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Integration
3
Automation
2
Coding Ease
2
Ease of Use
2
Easy Integrations
2
Cons
Cost
1
Data Management Issues
1
Difficult Setup
1
Expensive
1
Implementation Difficulty
1
Lightning AI features and usability ratings that predict user satisfaction
7.9
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
6.3
Natural Language Understanding
Average: 8.2
0.0
No information available
Seller Details
Year Founded
2019
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
90 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Polyture features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Polyture
    HQ Location
    Santa Clara, CA
    Twitter
    @PolytureData
    26 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machi

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Polyture features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Polyture
HQ Location
Santa Clara, CA
Twitter
@PolytureData
26 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rainbird is an AI-powered automation platform. Our technology turns human knowledge into explainable machine intelligence. Scale-up your business expertise using the Rainbird platform. Book a free

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Mid-Market
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Rainbird Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Integration
    1
    Automation
    1
    Cloud Computing
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Complexity
    1
    Difficult Learning
    1
    Initial Difficulties
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rainbird features and usability ratings that predict user satisfaction
    7.8
    Application
    Average: 8.5
    7.8
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2013
    HQ Location
    Norwich, GB
    Twitter
    @RainBirdAI
    3,077 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    44 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Rainbird is an AI-powered automation platform. Our technology turns human knowledge into explainable machine intelligence. Scale-up your business expertise using the Rainbird platform. Book a free

Users
No information available
Industries
No information available
Market Segment
  • 75% Mid-Market
  • 25% Enterprise
Rainbird Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Integration
1
Automation
1
Cloud Computing
1
Ease of Use
1
Easy Integrations
1
Cons
Complexity
1
Difficult Learning
1
Initial Difficulties
1
Rainbird features and usability ratings that predict user satisfaction
7.8
Application
Average: 8.5
7.8
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2013
HQ Location
Norwich, GB
Twitter
@RainBirdAI
3,077 Twitter followers
LinkedIn® Page
www.linkedin.com
44 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RocketML is a Super Fast Computational engine for Machine Learning. Built for scientists and engineers, RocketML scales Machine Learning models with no limits. If you have a large data science/analyti

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • RocketML Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Efficiency
    3
    Automation
    2
    Fast Processing
    2
    Flexibility
    2
    Cons
    Complex Coding
    1
    Complexity
    1
    Cost
    1
    Expensive
    1
    Implementation Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RocketML features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.2
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    RocketML
    Year Founded
    2017
    HQ Location
    Beaverton, US
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RocketML is a Super Fast Computational engine for Machine Learning. Built for scientists and engineers, RocketML scales Machine Learning models with no limits. If you have a large data science/analyti

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
RocketML Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Efficiency
3
Automation
2
Fast Processing
2
Flexibility
2
Cons
Complex Coding
1
Complexity
1
Cost
1
Expensive
1
Implementation Difficulty
1
RocketML features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.2
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
RocketML
Year Founded
2017
HQ Location
Beaverton, US
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The AI Platform for AI Companies. Develop AI with unmatched scale, performance, and efficiency

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 20% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anyscale Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Scalability
    3
    AI Capabilities
    2
    Cloud Computing
    2
    Customer Support
    2
    Cons
    Cost
    1
    Error Handling
    1
    Error Management
    1
    Expensive
    1
    Insufficient Learning Resources
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anyscale features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    7.5
    Natural Language Understanding
    Average: 8.2
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Anyscale
    Year Founded
    2019
    HQ Location
    San Francisco, California, United States
    LinkedIn® Page
    www.linkedin.com
    177 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The AI Platform for AI Companies. Develop AI with unmatched scale, performance, and efficiency

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 20% Enterprise
Anyscale Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Scalability
3
AI Capabilities
2
Cloud Computing
2
Customer Support
2
Cons
Cost
1
Error Handling
1
Error Management
1
Expensive
1
Insufficient Learning Resources
1
Anyscale features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
7.5
Natural Language Understanding
Average: 8.2
0.0
No information available
Seller Details
Seller
Anyscale
Year Founded
2019
HQ Location
San Francisco, California, United States
LinkedIn® Page
www.linkedin.com
177 employees on LinkedIn®
(4)4.0 out of 5
View top Consulting Services for Azure AI Studio
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A unified platform for developing and deploying generative AI apps responsibly

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure AI Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Integration
    2
    Data Access
    1
    Integrated Platform
    1
    Model Variety
    1
    User Interface
    1
    Cons
    Cost
    1
    Expensive
    1
    Outdated Content
    1
    Time-Consumption
    1
    UX Improvement
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure AI Studio features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    9.4
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.2
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

A unified platform for developing and deploying generative AI apps responsibly

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
Azure AI Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Integration
2
Data Access
1
Integrated Platform
1
Model Variety
1
User Interface
1
Cons
Cost
1
Expensive
1
Outdated Content
1
Time-Consumption
1
UX Improvement
1
Azure AI Studio features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
9.4
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.2
0.0
No information available
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A/B Testing is Dead. Make the leap from A/B to AI. Braze AI Decisioning Studio™ is the fastest, most scalable way to accelerate testing and learning. Automatically discover the right message, creat

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Braze AI Decisioning Studio™ Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    6
    AI Technology
    5
    Collaboration
    5
    Ease of Use
    5
    Experience
    5
    Cons
    Learning Curve
    3
    Difficult Learning
    2
    Implementation Difficulty
    2
    Time-Consumption
    2
    Campaign Management Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Braze AI Decisioning Studio™ features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    10.0
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Braze
    Company Website
    Year Founded
    2011
    HQ Location
    New York
    Twitter
    @Braze
    16,376 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,188 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A/B Testing is Dead. Make the leap from A/B to AI. Braze AI Decisioning Studio™ is the fastest, most scalable way to accelerate testing and learning. Automatically discover the right message, creat

Users
No information available
Industries
No information available
Market Segment
  • 71% Enterprise
  • 29% Mid-Market
Braze AI Decisioning Studio™ Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
6
AI Technology
5
Collaboration
5
Ease of Use
5
Experience
5
Cons
Learning Curve
3
Difficult Learning
2
Implementation Difficulty
2
Time-Consumption
2
Campaign Management Issues
1
Braze AI Decisioning Studio™ features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
10.0
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Braze
Company Website
Year Founded
2011
HQ Location
New York
Twitter
@Braze
16,376 Twitter followers
LinkedIn® Page
www.linkedin.com
2,188 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Civis Customer Science is a single solution that combines the best of well-known technology categories like CDPs, DMPs, identity graphs, etc. at unprecedented scale, with leading-edge data science for

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 25% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Civis features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    10.0
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.2
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2013
    HQ Location
    Chicago, US
    Twitter
    @CivisAnalytics
    8,509 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    49 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Civis Customer Science is a single solution that combines the best of well-known technology categories like CDPs, DMPs, identity graphs, etc. at unprecedented scale, with leading-edge data science for

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 25% Enterprise
Civis features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
10.0
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.2
0.0
No information available
Seller Details
Year Founded
2013
HQ Location
Chicago, US
Twitter
@CivisAnalytics
8,509 Twitter followers
LinkedIn® Page
www.linkedin.com
49 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Code Ocean is a Computational Science platform for life science R&D teams who want a fast and efficient way to start, scale, collaborate, and reproduce computational research. It helps Computation

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Code Ocean Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Coding Ease
    2
    Efficiency
    2
    Cloud Computing
    1
    Cloud Storage
    1
    Cons
    Expensive
    1
    Transferring Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Code Ocean features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    10.0
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.2
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    32 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Code Ocean is a Computational Science platform for life science R&D teams who want a fast and efficient way to start, scale, collaborate, and reproduce computational research. It helps Computation

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Code Ocean Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Coding Ease
2
Efficiency
2
Cloud Computing
1
Cloud Storage
1
Cons
Expensive
1
Transferring Issues
1
Code Ocean features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
10.0
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.2
7.8
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
32 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dynam.AI’s suite of artificial intelligence services, including advanced deep learning and computer vision algorithms and models, are easy to use and are custom-tailored to each individual client’s ne

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dynam.AI End-to-End AI Solutions Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Efficiency
    2
    AI Integration
    1
    Ease of Use
    1
    Easy Integrations
    1
    Innovation
    1
    Cons
    Data Management Issues
    1
    Difficult Setup
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dynam.AI End-to-End AI Solutions features and usability ratings that predict user satisfaction
    7.2
    Application
    Average: 8.5
    4.4
    Managed Service
    Average: 8.2
    7.8
    Natural Language Understanding
    Average: 8.2
    6.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dynam.AI
    Year Founded
    2019
    HQ Location
    San Diego, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dynam.AI’s suite of artificial intelligence services, including advanced deep learning and computer vision algorithms and models, are easy to use and are custom-tailored to each individual client’s ne

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Dynam.AI End-to-End AI Solutions Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Efficiency
2
AI Integration
1
Ease of Use
1
Easy Integrations
1
Innovation
1
Cons
Data Management Issues
1
Difficult Setup
1
Expensive
1
Dynam.AI End-to-End AI Solutions features and usability ratings that predict user satisfaction
7.2
Application
Average: 8.5
4.4
Managed Service
Average: 8.2
7.8
Natural Language Understanding
Average: 8.2
6.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Dynam.AI
Year Founded
2019
HQ Location
San Diego, US
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model. No coding or expertise in machine learning required.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Liner.AI features and usability ratings that predict user satisfaction
    6.7
    Application
    Average: 8.5
    6.7
    Managed Service
    Average: 8.2
    6.7
    Natural Language Understanding
    Average: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Liner.AI
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model. No coding or expertise in machine learning required.

Users
No information available
Industries
No information available
Market Segment
  • 33% Mid-Market
  • 33% Enterprise
Liner.AI features and usability ratings that predict user satisfaction
6.7
Application
Average: 8.5
6.7
Managed Service
Average: 8.2
6.7
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Liner.AI
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(3)4.8 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Machine Learning Platform For AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine Learning

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Machine Learning Platform for AI features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    10.0
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.2
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alibaba
    HQ Location
    Hangzhou
    Twitter
    @alibaba_cloud
    1,050,699 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,764 employees on LinkedIn®
    Ownership
    BABA
    Total Revenue (USD mm)
    $509,711
Product Description
How are these determined?Information
This description is provided by the seller.

Machine Learning Platform For AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine Learning

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
Machine Learning Platform for AI features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
10.0
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.2
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Alibaba
HQ Location
Hangzhou
Twitter
@alibaba_cloud
1,050,699 Twitter followers
LinkedIn® Page
www.linkedin.com
4,764 employees on LinkedIn®
Ownership
BABA
Total Revenue (USD mm)
$509,711
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Node is the first AutoML solution designed for platforms that leverage people and company data. With Node, teams can rapidly create and deploy AI-powered solutions for CRM, marketing automation, custo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Node AutoML Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Coding Ease
    2
    Ease of Use
    2
    AI Integration
    1
    Automation
    1
    Data Access
    1
    Cons
    Data Management Issues
    1
    Limited Customization
    1
    Limited Features
    1
    Limited Model Options
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Node AutoML Platform features and usability ratings that predict user satisfaction
    8.9
    Application
    Average: 8.5
    7.8
    Managed Service
    Average: 8.2
    7.8
    Natural Language Understanding
    Average: 8.2
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Node.io
    Year Founded
    2014
    HQ Location
    Cupertino, US
    Twitter
    @nodeio
    1,974 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Node is the first AutoML solution designed for platforms that leverage people and company data. With Node, teams can rapidly create and deploy AI-powered solutions for CRM, marketing automation, custo

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
Node AutoML Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Coding Ease
2
Ease of Use
2
AI Integration
1
Automation
1
Data Access
1
Cons
Data Management Issues
1
Limited Customization
1
Limited Features
1
Limited Model Options
1
Node AutoML Platform features and usability ratings that predict user satisfaction
8.9
Application
Average: 8.5
7.8
Managed Service
Average: 8.2
7.8
Natural Language Understanding
Average: 8.2
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Node.io
Year Founded
2014
HQ Location
Cupertino, US
Twitter
@nodeio
1,974 Twitter followers
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®