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At a Glance
Market Segments
Small-Business (52.9% of reviews)
Small-Business (63.6% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Portkey
Star Rating
(17)4.6 out of 5
Market Segments
Small-Business (52.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about PortkeySuperAnnotate
Star Rating
(182)4.9 out of 5
Market Segments
Small-Business (63.6% of reviews)
Pros & Cons
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, while Portkey, although competent, falls slightly behind with a score of 9.5. Reviewers mention that SuperAnnotate's intuitive interface significantly enhances the labeling process, making it easier for teams to maintain high-quality annotations.
- Reviewers mention that SuperAnnotate offers superior Monitoring capabilities, scoring a perfect 10.0 compared to Portkey's 7.0. Users on G2 appreciate the real-time performance metrics and drift detection alerts provided by SuperAnnotate, which help in maintaining the integrity of AI models.
- Users say that SuperAnnotate's Ease of Deployment is unmatched, with a perfect score of 10.0, while Portkey scores 9.0. Reviewers highlight that SuperAnnotate's one-click deployment feature simplifies the setup process, making it accessible for teams with varying technical expertise.
- G2 users report that SuperAnnotate shines in Scalability, achieving a score of 10.0, whereas Portkey scores 8.7. Reviewers mention that SuperAnnotate's infrastructure is designed to handle large datasets efficiently, which is crucial for growing businesses.
- Users on G2 highlight that SuperAnnotate's Human-in-the-Loop feature scores 9.7, indicating a strong emphasis on quality control, while Portkey does not have a comparable feature. Reviewers appreciate how this functionality allows for human oversight in the annotation process, ensuring higher accuracy.
- Reviewers mention that SuperAnnotate's AI Model Training Scalability is a standout feature, scoring 9.8, while Portkey lacks detailed insights in this area. Users report that SuperAnnotate's robust training capabilities allow for more efficient model updates and improvements over time.
Pricing
Entry-Level Pricing
Portkey
No pricing availableSuperAnnotate
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
Portkey
No trial information availableSuperAnnotate
Free Trial is available
Ratings
Meets Requirements
9.2
17
9.6
116
Ease of Use
9.4
17
9.6
121
Ease of Setup
9.4
17
9.6
81
Ease of Admin
9.7
5
9.6
46
Quality of Support
9.0
16
9.7
118
Has the product been a good partner in doing business?
Not enough data
9.7
47
Product Direction (% positive)
10.0
17
9.5
102
Features by Category
Deployment
Not enough data
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
Deployment
Not enough data
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
Management
Not enough data
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Operations
Not enough data
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Management
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
7.6
7
Not enough data
7.1
7
Not enough data
9.0
7
Not enough data
Issue Resolution
9.3
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
Management
8.1
7
Not enough data
7.6
7
Not enough data
9.3
7
Not enough data
Generative AI
6.2
7
Not enough data
6.7
7
Not enough data
Agentic AI - AIOps Platforms
7.7
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
7.3
5
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Quality
Not enough data
9.7
77
Not enough data
9.6
76
Not enough data
9.6
75
Not enough data
9.7
70
Automation
Not enough data
9.3
58
Not enough data
9.5
48
Image Annotation
Not enough data
9.3
71
Not enough data
9.4
68
Not enough data
9.3
60
Not enough data
9.5
62
Natural Language Annotation
Not enough data
9.4
47
Not enough data
9.2
40
Not enough data
9.6
44
Speech Annotation
Not enough data
9.2
41
Not enough data
9.1
39
Scalability and Performance - Generative AI Infrastructure
9.0
5
Not enough data
8.3
5
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
9.3
5
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.7
5
Not enough data
Not enough data
Not enough data
9.7
5
Not enough data
Security and Compliance - Generative AI Infrastructure
9.3
5
Not enough data
Not enough data
Not enough data
10.0
5
Not enough data
Usability and Support - Generative AI Infrastructure
9.0
5
Not enough data
8.7
5
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
Usability - Load Balancing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Load Balancing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance - Load Balancing
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
Portkey and SuperAnnotate are categorized as Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Portkey
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
47.1%
Information Technology and Services
17.6%
Writing and Editing
5.9%
Pharmaceuticals
5.9%
E-Learning
5.9%
Other
17.6%
Information Technology and Services
24.1%
Computer Software
16.0%
Research
6.8%
Higher Education
4.9%
Health, Wellness and Fitness
3.7%
Other
44.4%
Discussions
Portkey 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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