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Compare Dataloop and super.AI 
Featured Products
At a Glance
Market Segments
Mid-Market (39.8% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Dataloopsuper.AI
Star Rating
(12)4.6 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about super.AIDataloop vs super.AI
- Reviewers felt that Dataloop meets the needs of their business better than super.AI.
- When comparing quality of ongoing product support, reviewers felt that Dataloop is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Dataloop over super.AI.
Pricing
Entry-Level Pricing
Dataloop
No pricing availablesuper.AI
No pricing availableFree Trial
Dataloop
No trial information availablesuper.AI
No trial information availableRatings
Meets Requirements
8.7
75
8.3
7
Ease of Use
8.8
76
8.1
7
Ease of Setup
8.5
40
Not enough data
Ease of Admin
8.8
20
Not enough data
Quality of Support
8.9
74
8.8
7
Has the product been a good partner in doing business?
8.8
20
Not enough data
Product Direction (% positive)
8.6
68
8.1
6
Features by Category
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
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
8
Not enough data
Model Development
9.3
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
Model Development
8.3
8
Not enough data
Machine/Deep Learning Services
9.4
8
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.3
9
Not enough data
Machine/Deep Learning Services
8.6
6
Not enough data
8.3
9
Not enough data
Deployment
8.9
6
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
Generative AI
7.9
7
Not enough data
8.5
8
Not enough data
9.2
6
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Not enough data
Not enough data
Not enough data
Quality
8.8
53
Not enough data
9.0
53
Not enough data
9.1
54
Not enough data
8.9
52
Not enough data
Automation
8.8
52
Not enough data
8.7
48
Not enough data
Image Annotation
9.2
51
Not enough data
9.2
52
Not enough data
9.1
50
Not enough data
9.2
51
Not enough data
Natural Language Annotation
9.0
43
Not enough data
8.9
42
Not enough data
8.9
45
Not enough data
Speech Annotation
9.0
40
Not enough data
8.9
39
Not enough data
Recognition Type
8.4
34
Not enough data
9.0
36
Not enough data
8.6
35
Not enough data
8.4
32
Not enough data
8.8
32
Not enough data
8.7
33
Not enough data
8.5
33
Not enough data
8.8
33
Not enough data
Facial Recognition
8.8
33
Not enough data
8.6
32
Not enough data
Labeling
8.9
34
Not enough data
9.4
33
Not enough data
8.7
32
Not enough data
Deployment
8.3
33
Not enough data
Operating System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Document Processing
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
Platform Additional Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - OCR
Not enough data
Not enough data
Data Capture
Not enough data
Not enough data
Not enough data
Not enough data
Data Extraction
Not enough data
Not enough data
Not enough data
Not enough data
Data Validation
Not enough data
Not enough data
Workflow Automation
Not enough data
Not enough data
Not enough data
Not enough data
Document Management
Not enough data
Not enough data
Not enough data
Not enough data
Machine Learning
Not enough data
Not enough data
Natural Language Processing
Not enough data
Not enough data
Semantic Analysis
Not enough data
Not enough data
Data Integration
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Model Training & Optimization - Active Learning Tools
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
Data Management & Annotation - Active Learning Tools
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
Model Performance & Analysis - Active Learning Tools
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
Categories
Categories
Shared Categories
Dataloop and super.AI are categorized as Data Labeling
Unique Categories
Dataloop is categorized as Active Learning Tools, MLOps Platforms, Data Science and Machine Learning Platforms, and Image Recognition
super.AI is categorized as Intelligent Document Processing (IDP) and OCR
Reviews
Reviewers' Company Size
Dataloop
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
super.AI
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
27.3%
Computer Software
26.1%
Retail
2.3%
Research
2.3%
Oil & Energy
2.3%
Other
39.8%
Information Technology and Services
33.3%
Marketing and Advertising
16.7%
Computer Software
16.7%
Retail
8.3%
Health, Wellness and Fitness
8.3%
Other
16.7%
Alternatives
Discussions
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
Is Dataloop free?
1 Comment
Official Response from Dataloop
Dataloop operates on a quote-based pricing model and does not currently offer a free plan. Our pricing is tailored to match the specific needs and scale of...Read more
super.AI has no more discussions with answers
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