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Compare SuperAnnotate and iMerit Ango Hub Multimodal AI Platform 
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At a Glance
Market Segments
Small-Business (63.5% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
Contact Us
Contact Us
SuperAnnotate
Star Rating
(173)4.9 out of 5
Market Segments
Small-Business (63.5% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansiMerit Ango Hub Multimodal AI Platform
Star Rating
(12)4.8 out of 5
Market Segments
Small-Business (50.0% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SuperAnnotate excels in Labeler Quality with a score of 9.8, indicating a high level of satisfaction with the accuracy and reliability of the labeling process. In contrast, iMerit Ango Hub Multimodal AI Platform does not provide specific ratings for this feature, which may leave potential users questioning its effectiveness.
- Reviewers mention that SuperAnnotate's Ease of Setup is rated at 9.6, making it user-friendly for new adopters. On the other hand, iMerit Ango Hub Multimodal AI Platform lacks detailed feedback on setup ease, which could be a concern for users looking for a straightforward onboarding experience.
- G2 users highlight SuperAnnotate's Quality of Support with an impressive score of 9.9, suggesting that users feel well-supported throughout their experience. In comparison, iMerit Ango Hub Multimodal AI Platform has fewer reviews, making it difficult to gauge the level of support users can expect.
- Users on G2 report that SuperAnnotate offers superior Scalability with a perfect score of 10.0, which is crucial for businesses anticipating growth. iMerit Ango Hub Multimodal AI Platform also scores well in scalability but does not match the comprehensive feedback provided for SuperAnnotate.
- Reviewers mention that SuperAnnotate's Data Quality is rated at 9.8, reflecting a strong emphasis on maintaining high standards in data management. In contrast, iMerit Ango Hub Multimodal AI Platform does not provide specific ratings for data quality, which may raise concerns for users prioritizing data integrity.
- Users say that SuperAnnotate's Human-in-the-Loop feature is rated at 9.7, indicating a robust integration of human oversight in the AI training process. iMerit Ango Hub Multimodal AI Platform does not highlight this feature, which could be a significant drawback for users seeking a more collaborative approach to AI development.
Pricing
Entry-Level Pricing
SuperAnnotate
Pro
Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
iMerit Ango Hub Multimodal AI Platform
Cloud
Contact Us
The fast, ready-to-go hosted solution for those who want to start labeling immediately from the browser, no installation required.
- For projects of any size
- Unlimited everything
- Purchase new seats only as needed
Free Trial
SuperAnnotate
Free Trial is available
iMerit Ango Hub Multimodal AI Platform
Free Trial is available
Ratings
Meets Requirements
9.6
113
Not enough data
Ease of Use
9.6
118
Not enough data
Ease of Setup
9.6
78
Not enough data
Ease of Admin
9.6
46
Not enough data
Quality of Support
9.7
115
Not enough data
Has the product been a good partner in doing business?
9.7
47
Not enough data
Product Direction (% positive)
9.5
99
Not enough data
Features by Category
Deployment
9.8
10
Not enough data
9.2
11
Not enough data
9.3
9
Not enough data
9.7
10
Not enough data
9.5
10
Not enough data
Deployment
9.4
11
Not enough data
9.5
11
Not enough data
9.5
10
Not enough data
9.4
11
Not enough data
9.3
12
Not enough data
Management
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Not enough data
Operations
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Not enough data
Management
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
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
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
Deployment
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
Not enough data
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
9.7
76
Not enough data
9.6
74
Not enough data
9.7
74
Not enough data
9.7
68
Not enough data
Automation
9.3
57
Not enough data
9.5
47
Not enough data
Image Annotation
9.3
70
Not enough data
9.4
67
Not enough data
9.3
59
Not enough data
9.5
61
Not enough data
Natural Language Annotation
9.3
46
Not enough data
9.2
39
Not enough data
9.6
43
Not enough data
Speech Annotation
9.2
40
Not enough data
9.0
38
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
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
9.5
13
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
9.6
13
Not enough data
9.6
13
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
9.4
12
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
9.6
13
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
9.5
13
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
9.4
13
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.5
11
Not enough data
9.4
13
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
9.5
13
Not enough data
9.6
12
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
9.4
12
Not enough data
9.5
11
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.5
11
Not enough data
9.4
11
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
9.4
12
Not enough data
Categories
Categories
Shared Categories
SuperAnnotate and iMerit Ango Hub Multimodal AI Platform are categorized as Data Labeling
Unique Categories
SuperAnnotate is categorized as MLOps Platforms and Large Language Model Operationalization (LLMOps)
iMerit Ango Hub Multimodal AI Platform is categorized as Data Science and Machine Learning Platforms and Active Learning Tools
Reviews
Reviewers' Company Size
SuperAnnotate
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
iMerit Ango Hub Multimodal AI Platform
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
22.6%
Computer Software
16.4%
Research
6.9%
Higher Education
5.0%
Health, Wellness and Fitness
3.8%
Other
45.3%
Logistics and Supply Chain
20.0%
Banking
20.0%
Retail
10.0%
Mechanical or Industrial Engineering
10.0%
Higher Education
10.0%
Other
30.0%
Discussions
What is SuperAnnotate?
1 Comment
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
SuperAnnotate has no more discussions with answers
iMerit Ango Hub Multimodal AI Platform has no discussions with answers
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