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At a Glance
Encord
Encord
Star Rating
(60)4.8 out of 5
Market Segments
Small-Business (52.5% of reviews)
Information
Entry-Level Pricing
Contact Us
Learn more about Encord
SuperAnnotate
SuperAnnotate
Star Rating
(144)4.9 out of 5
Market Segments
Small-Business (61.7% of reviews)
Information
Entry-Level Pricing
Free
Browse all 3 pricing plans
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 allows for a quicker onboarding process.
  • Reviewers mention that Encord offers superior Quality of Support, achieving a perfect score of 10.0, compared to SuperAnnotate's 9.9. Users on G2 appreciate Encord's responsive customer service and extensive documentation.
  • Users say that SuperAnnotate shines in Labeler Quality with a score of 9.8, while Encord scores slightly lower at 9.5. Reviewers highlight SuperAnnotate's advanced labeling tools that enhance accuracy and efficiency.
  • G2 users report that both products have strong Scalability features, scoring 10.0. However, users mention that SuperAnnotate's scalability is particularly praised for handling large datasets seamlessly.
  • Reviewers mention that Encord's Task Quality is rated at 9.8, slightly higher than SuperAnnotate's 9.7. Users appreciate Encord's robust task management capabilities that streamline workflows.
  • Users on G2 report that SuperAnnotate's Model Training Efficiency is a standout feature, with many praising its automated model retraining capabilities, which significantly reduce manual intervention.
Pricing
Entry-Level Pricing
Encord
Simple and scalable pricing
Contact Us
Learn more about Encord
SuperAnnotate
Free Startup Plan
Free
Browse all 3 pricing plans
Free Trial
Encord
Free Trial is available
SuperAnnotate
No trial information available
Ratings
Meets Requirements
9.3
45
9.6
88
Ease of Use
9.5
46
9.6
92
Ease of Setup
8.3
10
9.5
51
Ease of Admin
7.8
10
9.7
40
Quality of Support
10.0
44
9.9
90
Has the product been a good partner in doing business?
9.3
10
9.8
40
Product Direction (% positive)
9.7
45
9.4
76
Features by Category
9.8
144
10.0
61
Deployment
9.4
6
10.0
5
9.5
7
9.7
6
9.8
7
Not enough data
9.8
8
10.0
5
9.8
8
10.0
5
Deployment
10.0
6
10.0
7
9.5
7
10.0
7
9.5
7
10.0
7
9.6
8
10.0
7
10.0
8
10.0
7
Management
9.8
7
Not enough data
9.8
8
10.0
5
10.0
6
Not enough data
9.8
8
Not enough data
Operations
10.0
6
Not enough data
9.7
6
Not enough data
10.0
9
Not enough data
Management
10.0
7
Not enough data
10.0
8
Not enough data
9.8
7
Not enough data
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
9.7
86
Not enough data
System
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
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
9.7
5
Not enough data
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
9.7
5
Not enough data
Not enough data
Not enough data
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
Deployment
10.0
5
Not enough data
9.7
6
Not enough data
9.7
5
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.7
330
9.6
561
Quality
9.5
30
9.7
55
9.8
29
9.7
53
9.6
30
9.8
56
9.8
28
9.7
48
Automation
9.7
24
9.3
37
9.6
23
9.6
27
Image Annotation
9.6
29
9.7
50
9.4
26
9.6
48
9.1
22
9.6
39
9.7
23
9.6
41
Natural Language Annotation
9.7
13
9.5
26
10.0
13
9.6
19
9.9
15
9.7
23
Speech Annotation
9.9
13
9.5
20
9.9
12
9.5
19
Not enough data
Not enough data
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
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
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
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Categories
Categories
Shared Categories
Encord
Encord
SuperAnnotate
SuperAnnotate
Encord and SuperAnnotate are categorized as Data Labeling and MLOps Platforms
Reviews
Reviewers' Company Size
Encord
Encord
Small-Business(50 or fewer emp.)
52.5%
Mid-Market(51-1000 emp.)
40.7%
Enterprise(> 1000 emp.)
6.8%
SuperAnnotate
SuperAnnotate
Small-Business(50 or fewer emp.)
61.7%
Mid-Market(51-1000 emp.)
27.1%
Enterprise(> 1000 emp.)
11.3%
Reviewers' Industry
Encord
Encord
Computer Software
37.3%
Medical Devices
11.9%
Hospital & Health Care
11.9%
Food & Beverages
10.2%
Medical Practice
5.1%
Other
23.7%
SuperAnnotate
SuperAnnotate
Information Technology and Services
23.3%
Computer Software
11.3%
Research
8.3%
Higher Education
6.0%
Medical Practice
3.8%
Other
47.4%
Most Helpful Reviews
Encord
Encord
Most Helpful Favorable Review
Sorowar H.
SH
Sorowar H.
Verified User in Computer Software

Encord helps us classify and annotate large image datasets and provides analytics to monitor team performance.

Most Helpful Critical Review
BT
Bipul T.
Verified User in Information Technology and Services

The zoom feature. Its working mechanism is exactly opposite compared to rest of the platforms in computer world. It could be better by not eliminating the opposite working mechanism.

SuperAnnotate
SuperAnnotate
Most Helpful Favorable Review
Jennifer H.
JH
Jennifer H.
Verified User in Farming

The tooling is very intuitive and enables very accurate pixel-level annotations. Especially once you develop an approach and rhythm for how to annotate a specific project, you can move very quickly and accurately. I particularly like the paintbrush tool...

Most Helpful Critical Review
Alternatives
Encord
Encord Alternatives
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SAP HANA Cloud
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Vertex AI
Vertex AI
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SuperAnnotate
SuperAnnotate Alternatives
V7
V7
Add V7
Labelbox
Labelbox
Add Labelbox
Dataloop
Dataloop
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Vertex AI
Vertex AI
Add Vertex AI
Discussions
Encord
Encord Discussions
Monty the Mongoose crying
Encord has no discussions with answers
SuperAnnotate
SuperAnnotate Discussions
What is SuperAnnotate?
1 comment
Mikayel M.
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
Monty the Mongoose crying
SuperAnnotate has no more discussions with answers