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Compare Encord and SuperAnnotate 
At a Glance
Market Segments
Small-Business (51.6% of reviews)
Small-Business (62.1% of reviews)
Entry-Level Pricing
Contact Us
Contact Us
Encord
Star Rating
(65)4.8 out of 5
Market Segments
Small-Business (51.6% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about EncordSuperAnnotate
Star Rating
(221)4.9 out of 5
Market Segments
Small-Business (62.1% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SuperAnnotate excels in data labeling, with users highlighting its efficiency in annotating images, text, and video data for machine learning projects. The platform's user-friendly interface and built-in quality assurance tools make it a favorite for those managing complex annotation tasks.
- Users say that Encord provides exceptional customer support, with a team that actively listens to feedback and develops new features based on user needs. Reviewers appreciate the hands-on partnership approach, which includes direct access to leadership for meaningful discussions about product direction.
- According to verified reviews, SuperAnnotate has a significantly higher number of recent reviews, indicating a more active user base and up-to-date feedback. This suggests that potential users can expect a well-supported and continuously improving platform.
- Reviewers mention that while SuperAnnotate shines in ease of setup and administration, Encord offers a more robust integration with existing infrastructure, particularly for users who have built in-house systems. This makes Encord a strong choice for teams looking to leverage their existing tools.
- G2 reviewers highlight that SuperAnnotate's organization and collaboration features are particularly beneficial for teams, making it easier to manage projects and ensure accurate annotations. Users appreciate how the platform keeps everything streamlined, which is crucial for collaborative efforts.
- Users report that Encord's focus on medical imaging AI projects has led to tailored features that cater specifically to that niche, making it a preferred choice for organizations in that field. The integration with AWS for data management is also noted as a significant advantage for users with specific infrastructure needs.
Pricing
Entry-Level Pricing
Encord
Simple and scalable pricing
Contact Us
Our pricing scales with your organization. Start building out your data annotation & active learning pipelines today.
- Computer vision labeling toolkit
- Model assisted labeling using your own models or our proprietary micro-models
- Automated object tracking and interpolation
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
Free Trial
Encord
Free Trial is available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
9.3
50
9.6
131
Ease of Use
9.5
51
9.6
136
Ease of Setup
8.3
15
9.6
95
Ease of Admin
8.1
14
9.6
51
Quality of Support
9.9
49
9.6
132
Has the product been a good partner in doing business?
9.5
14
9.7
52
Product Direction (% positive)
9.8
50
9.6
117
Features by Category
Deployment
9.4
6
9.8
10
9.5
7
9.2
11
9.8
7
9.3
9
9.8
8
9.7
10
9.8
8
9.5
10
Deployment
10.0
6
9.4
11
9.5
7
9.5
11
9.5
7
9.5
10
9.6
8
9.4
11
10.0
8
9.3
12
Management
9.8
7
9.3
9
9.8
8
9.0
10
10.0
6
9.2
8
9.8
8
9.6
8
Operations
10.0
6
9.3
9
9.7
6
9.2
8
10.0
9
9.2
8
Management
10.0
7
9.6
8
10.0
8
9.4
8
9.8
7
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
5
Not enough data
Model Development
Not enough data
Not enough data
9.7
6
Not enough data
10.0
5
Not enough data
9.7
6
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
9.5
7
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.7
5
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
9.7
5
Not enough data
Deployment
10.0
7
Not enough data
9.8
7
Not enough data
9.5
7
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
9.4
33
9.7
83
9.8
32
9.6
90
9.5
33
9.7
81
9.8
31
9.7
81
Automation
9.5
26
9.3
64
9.5
25
9.5
51
Image Annotation
9.6
32
9.4
76
9.3
28
9.4
72
9.2
24
9.3
64
9.7
26
9.5
65
Natural Language Annotation
9.6
15
9.4
51
9.7
15
9.3
43
9.6
17
9.6
47
Speech Annotation
9.6
15
9.2
44
9.5
14
9.1
42
Recognition Type
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Facial Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Labeling
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
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
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
Not enough data
9.5
17
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Not enough data
9.7
15
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
15
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
15
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.4
14
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Not enough data
9.7
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Not enough data
9.6
13
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.5
13
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Categories
Categories
Shared Categories
Encord and SuperAnnotate are categorized as Active Learning Tools, Data Labeling, and MLOps Platforms
Unique Categories
Encord is categorized as Data Science and Machine Learning Platforms, Image Recognition, and Machine Learning
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Encord
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SuperAnnotate
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
Computer Software
37.5%
Hospital & Health Care
12.5%
Medical Devices
10.9%
Food & Beverages
9.4%
Information Technology and Services
7.8%
Other
21.9%
Information Technology and Services
24.3%
Computer Software
16.4%
Research
6.2%
Higher Education
4.5%
Health, Wellness and Fitness
3.4%
Other
45.2%
Discussions
Encord has no discussions with answers
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
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