Compare Labellerr and Shaip Cloud 
At a Glance
Market Segments
Small-Business (57.1% of reviews)
Small-Business (38.1% of reviews)
Entry-Level Pricing
Contact Us Per Month
No pricing available
Labellerr
Star Rating
(21)4.8 out of 5
Market Segments
Small-Business (57.1% of reviews)
Entry-Level Pricing
Contact Us Per Month
Browse all 3 pricing plansShaip Cloud
Star Rating
(22)4.3 out of 5
Market Segments
Small-Business (38.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Shaip CloudLabellerr vs Shaip Cloud
When assessing the two solutions, reviewers found Labellerr easier to use, set up, and administer. Reviewers also preferred doing business with Labellerr overall.
- Reviewers felt that Labellerr meets the needs of their business better than Shaip Cloud.
- When comparing quality of ongoing product support, reviewers felt that Labellerr is the preferred option.
- When assessing product direction, Labellerr and Shaip Cloud received similar ratings from our reviewers.
Pricing
Entry-Level Pricing
Labellerr
Enterprise Plan
Contact Us
Per Month
- Seat Available: Unlimited
- Data Credit: Unlimited
- Datatype support: jpg, png, wav, mp4, pdf, txt, dicom, lidar, nifti
Shaip Cloud
No pricing availableFree Trial
Labellerr
Free Trial is available
Shaip Cloud
No trial information availableRatings
Meets Requirements
9.4
18
8.9
17
Ease of Use
9.6
18
8.3
17
Ease of Setup
9.2
8
8.3
9
Ease of Admin
9.0
8
7.8
9
Quality of Support
9.7
18
7.9
17
Has the product been a good partner in doing business?
9.8
8
8.5
9
Product Direction (% positive)
10.0
18
10.0
17
Features by Category
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Connectivity
Not enough data
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Quality
9.9
12
8.3
10
9.7
12
8.0
10
9.9
13
8.8
10
9.3
14
7.5
10
Automation
9.6
13
8.5
10
9.5
13
8.7
10
Image Annotation
9.6
13
8.3
10
9.7
13
8.5
9
9.7
13
7.8
9
9.9
13
8.7
10
Natural Language Annotation
9.9
12
8.3
9
9.6
13
8.1
8
9.8
11
7.4
9
Speech Annotation
9.9
12
8.7
10
9.6
12
7.9
8
Categories
Categories
Shared Categories
Labellerr and Shaip Cloud are categorized as Data Labeling
Unique Categories
Labellerr is categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Shaip Cloud is categorized as Data De-Identification and Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Labellerr
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Shaip Cloud
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
33.3%
Computer Software
14.3%
Hospital & Health Care
9.5%
Public Relations and Communications
4.8%
Marketing and Advertising
4.8%
Other
33.3%
Computer Software
33.3%
Accounting
19.0%
Information Technology and Services
14.3%
Medical Practice
9.5%
Oil & Energy
4.8%
Other
19.0%
Most Helpful Reviews
Labellerr
Most Helpful Favorable Review
Manu G.
Verified User in Education Management
The team is always available. They are responsive
Most Helpful Critical Review
Shaikh S.
Verified User in Computer Software
Nothing as of now. A good tool for annotation. Should have undo option.
Shaip Cloud
Most Helpful Favorable Review
piyush s.
Verified User in Medical Devices
Though it has many competitors in the market one thing that is outstanding is that it provides gold-standard quality data for cataloging i.e it mix and match over 5 M+ data to give the data license in the end. Another thing no doubt is data labeling...
Most Helpful Critical Review
Manu G.
Verified User in Education Management
The team is always available. They are responsive
piyush s.
Verified User in Medical Devices
Though it has many competitors in the market one thing that is outstanding is that it provides gold-standard quality data for cataloging i.e it mix and match over 5 M+ data to give the data license in the end. Another thing no doubt is data labeling...
Shaikh S.
Verified User in Computer Software
Nothing as of now. A good tool for annotation. Should have undo option.
Discussions
Labellerr has no discussions with answers
Shaip Cloud has no discussions with answers
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