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Best Enterprise Data Labeling Software

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Researched and written by Sohan Pal

Products classified in the overall Data Labeling category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Data Labeling to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Data Labeling category.

In addition to qualifying for inclusion in the Data Labeling Software category, to qualify for inclusion in the Enterprise Business Data Labeling Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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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4 Listings in Enterprise Data Labeling Software Available

(90)4.4 out of 5
4th Easiest To Use in Data Labeling software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataloop 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
    5
    Annotation Efficiency
    3
    Annotation Tools
    3
    Easy Integrations
    3
    Integrations
    3
    Cons
    Deployment Delays
    2
    Deployment Issues
    2
    Integration Issues
    2
    Complexity
    1
    Confusing Syntax
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataloop features and usability ratings that predict user satisfaction
    8.8
    Labeler Quality
    Average: 8.9
    9.2
    Object Detection
    Average: 8.9
    9.2
    Data Types
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataloop
    Year Founded
    2017
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Dataloop 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
5
Annotation Efficiency
3
Annotation Tools
3
Easy Integrations
3
Integrations
3
Cons
Deployment Delays
2
Deployment Issues
2
Integration Issues
2
Complexity
1
Confusing Syntax
1
Dataloop features and usability ratings that predict user satisfaction
8.8
Labeler Quality
Average: 8.9
9.2
Object Detection
Average: 8.9
9.2
Data Types
Average: 8.8
8.8
Ease of Use
Average: 8.8
Seller Details
Seller
Dataloop
Year Founded
2017
HQ Location
Herzliya, IL
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
(182)4.9 out of 5
Optimized for quick response
2nd Easiest To Use in Data Labeling software
View top Consulting Services for SuperAnnotate
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SuperAnnotate is the expert in the loop data platform for building and scaling domain-specific, multimodal AI models. Customizable annotation interfaces and AI-powered automations let your experts con

    Users
    • Student
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 64% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SuperAnnotate 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
    43
    Annotation Efficiency
    27
    Customer Support
    19
    User Interface
    18
    Data Labeling
    17
    Cons
    Annotation Issues
    5
    Lack of Resources
    5
    Limited Customization
    5
    Difficult Learning
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SuperAnnotate features and usability ratings that predict user satisfaction
    9.7
    Labeler Quality
    Average: 8.9
    9.4
    Object Detection
    Average: 8.9
    9.5
    Data Types
    Average: 8.8
    9.6
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    San Francisco, CA
    Twitter
    @superannotate
    685 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    285 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SuperAnnotate is the expert in the loop data platform for building and scaling domain-specific, multimodal AI models. Customizable annotation interfaces and AI-powered automations let your experts con

Users
  • Student
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 64% Small-Business
  • 24% Mid-Market
SuperAnnotate 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
43
Annotation Efficiency
27
Customer Support
19
User Interface
18
Data Labeling
17
Cons
Annotation Issues
5
Lack of Resources
5
Limited Customization
5
Difficult Learning
4
Learning Curve
4
SuperAnnotate features and usability ratings that predict user satisfaction
9.7
Labeler Quality
Average: 8.9
9.4
Object Detection
Average: 8.9
9.5
Data Types
Average: 8.8
9.6
Ease of Use
Average: 8.8
Seller Details
Company Website
Year Founded
2018
HQ Location
San Francisco, CA
Twitter
@superannotate
685 Twitter followers
LinkedIn® Page
www.linkedin.com
285 employees on LinkedIn®

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

    Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented t

    Users
    No information available
    Industries
    • Computer Software
    • Research
    Market Segment
    • 63% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datature 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
    Annotation Efficiency
    6
    Ease of Use
    6
    Data Labeling
    5
    Data Labelling
    5
    Efficiency
    5
    Cons
    Difficult Learning
    2
    Lack of Features
    2
    Lack of Guidance
    2
    Limited Customization
    2
    Limited Free Access
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datature features and usability ratings that predict user satisfaction
    9.5
    Labeler Quality
    Average: 8.9
    9.9
    Object Detection
    Average: 8.9
    8.9
    Data Types
    Average: 8.8
    9.5
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datature
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @DatatureAI
    163 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    27 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented t

Users
No information available
Industries
  • Computer Software
  • Research
Market Segment
  • 63% Small-Business
  • 29% Enterprise
Datature 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
Annotation Efficiency
6
Ease of Use
6
Data Labeling
5
Data Labelling
5
Efficiency
5
Cons
Difficult Learning
2
Lack of Features
2
Lack of Guidance
2
Limited Customization
2
Limited Free Access
2
Datature features and usability ratings that predict user satisfaction
9.5
Labeler Quality
Average: 8.9
9.9
Object Detection
Average: 8.9
8.9
Data Types
Average: 8.8
9.5
Ease of Use
Average: 8.8
Seller Details
Seller
Datature
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@DatatureAI
163 Twitter followers
LinkedIn® Page
www.linkedin.com
27 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kili 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
    API Quality
    2
    API Usability
    2
    Collaboration
    2
    Data Labeling
    2
    Data Management
    2
    Cons
    Annotation Issues
    1
    Complex Implementation
    1
    Inefficient Labeling
    1
    Lacking Features
    1
    Lack of Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kili features and usability ratings that predict user satisfaction
    9.2
    Labeler Quality
    Average: 8.9
    9.2
    Object Detection
    Average: 8.9
    9.2
    Data Types
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Paris, FR
    Twitter
    @Kili_Technology
    444 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 38% Small-Business
Kili 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
API Quality
2
API Usability
2
Collaboration
2
Data Labeling
2
Data Management
2
Cons
Annotation Issues
1
Complex Implementation
1
Inefficient Labeling
1
Lacking Features
1
Lack of Features
1
Kili features and usability ratings that predict user satisfaction
9.2
Labeler Quality
Average: 8.9
9.2
Object Detection
Average: 8.9
9.2
Data Types
Average: 8.8
8.8
Ease of Use
Average: 8.8
Seller Details
Year Founded
2018
HQ Location
Paris, FR
Twitter
@Kili_Technology
444 Twitter followers
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®