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At a Glance
Market Segments
Small-Business (50.8% of reviews)
Small-Business (63.5% of reviews)
Entry-Level Pricing
Contact Us
Contact Us
Encord
Star Rating
(62)4.8 out of 5
Market Segments
Small-Business (50.8% of reviews)
Entry-Level Pricing
Contact Us
Learn more about EncordSuperAnnotate
Star Rating
(172)4.9 out of 5
Market Segments
Small-Business (63.5% 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 Ease of Setup with a score of 9.6, while Encord falls behind at 8.3. Reviewers mention that SuperAnnotate's intuitive interface and straightforward onboarding process make it easier for teams to get started quickly.
- Reviewers mention that SuperAnnotate offers superior Quality of Support with a score of 9.9 compared to Encord's perfect score of 10.0. However, users on G2 appreciate the responsiveness and helpfulness of Encord's support team, indicating that both products provide excellent customer service.
- Users say that SuperAnnotate shines in Labeler Quality with a score of 9.8, while Encord has a slightly lower score of 9.5. Reviewers highlight SuperAnnotate's advanced labeling tools and features that enhance accuracy and efficiency in data annotation tasks.
- G2 users report that SuperAnnotate's Model Training Efficiency is highly rated, contributing to faster project turnaround times. In contrast, Encord's model training features, while effective, do not match the efficiency levels reported by users of SuperAnnotate.
- Users on G2 mention that SuperAnnotate's Scalability is a standout feature, scoring a perfect 10.0, which allows businesses to grow without facing limitations. Encord also scores well in this area at 9.8, but users feel that SuperAnnotate's infrastructure is more robust for larger datasets.
- Reviewers mention that both products offer strong Integration capabilities, but SuperAnnotate's flexibility in integrating with various frameworks and tools is noted as a significant advantage, scoring 10.0 compared to Encord's 9.5. Users appreciate the seamless workflow that SuperAnnotate provides through its integrations.
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
47
9.6
113
Ease of Use
9.5
48
9.6
118
Ease of Setup
8.3
12
9.6
78
Ease of Admin
7.7
11
9.6
46
Quality of Support
9.9
46
9.7
115
Has the product been a good partner in doing business?
9.4
11
9.7
47
Product Direction (% positive)
9.8
47
9.5
99
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
32
9.7
76
9.8
31
9.6
74
9.5
32
9.7
74
9.8
30
9.7
68
Automation
9.5
26
9.3
57
9.5
25
9.5
47
Image Annotation
9.6
31
9.3
70
9.3
28
9.4
67
9.2
24
9.3
59
9.7
25
9.5
61
Natural Language Annotation
9.6
15
9.3
46
9.7
15
9.2
39
9.6
17
9.6
43
Speech Annotation
9.6
15
9.2
40
9.5
14
9.0
38
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
13
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.6
13
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
13
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
11
Not enough data
9.4
13
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Not enough data
9.6
12
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Not enough data
9.5
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
11
Not enough data
9.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Categories
Categories
Shared Categories
Encord and SuperAnnotate are categorized as Data Labeling and MLOps Platforms
Unique Categories
Encord is categorized as Active Learning Tools, 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
36.1%
Medical Devices
11.5%
Hospital & Health Care
11.5%
Food & Beverages
9.8%
Information Technology and Services
8.2%
Other
23.0%
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%
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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