Compare Appen and Kili 
At a Glance
Market Segments
Small-Business (53.6% of reviews)
Mid-Market (41.3% of reviews)
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Free Trial 5000 Annotations
Appen
Star Rating
(29)4.2 out of 5
Market Segments
Small-Business (53.6% of reviews)
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Browse all 2 pricing plansKili
Star Rating
(49)4.7 out of 5
Market Segments
Mid-Market (41.3% of reviews)
Entry-Level Pricing
Free Trial 5000 Annotations
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Appen excels in Ease of Setup with a score of 9.1, making it a preferred choice for teams looking to get started quickly, while Kili, with a score of 8.3, may require more time for initial configuration.
- Reviewers mention that Kili shines in Quality of Support, achieving a score of 9.5, which users appreciate for its responsiveness and helpfulness, whereas Appen's score of 8.2 indicates room for improvement in customer service.
- G2 users highlight Kili's superior Labeler Quality with a score of 9.1, which reviewers say leads to more accurate data labeling, compared to Appen's score of 8.5, which some users feel could be enhanced.
- Users on G2 note that Kili offers better Human-in-the-Loop capabilities, scoring 9.1, which reviewers say enhances the overall quality of machine learning models, while Appen's score of 8.3 suggests it may not be as robust in this area.
- Reviewers mention that Appen's Data Quality score of 8.9 is commendable, but Kili's score of 9.0 indicates a slight edge in ensuring high-quality data, which is crucial for effective machine learning outcomes.
- Users say that Kili's Automation features, particularly in Machine Learning Pre-Labeling with a score of 8.9, are highly valued for streamlining workflows, while Appen's score of 8.1 suggests it may not automate these processes as effectively.
Pricing
Entry-Level Pricing
Appen
Appen Data Annotation Platform
SaaS subscription pricing dependent on use case and data type
The industry’s most advanced AI-assisted data annotation platform used to collect and annotate data for training both computer vision and natural language processing AI models.
- Data annotation capabilities that support all data types (text, audio, image, video, sensor) and use cases including search relevance, computer vision, and natural language processing (NLP/Speech).
- Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
- Smart Labeling capabilities have built-in Machine Learning assistance to save customers time, effort and money - delivering high-quality training data and accelerating the ROI and your AI initiatives.
Kili
Free
Free Trial
5000 Annotations
For individual contributors, students and ML enthusiast developing small scale projects
- Image, video, text, PDFs, large images & rich text labeling interfaces
- 5,000 annotations maximum
- 5 users per project maximum
Free Trial
Appen
No trial information availableKili
Free Trial is available
Ratings
Meets Requirements
8.3
25
9.1
27
Ease of Use
8.1
25
8.8
27
Ease of Setup
9.1
9
8.3
9
Ease of Admin
9.5
7
9.3
10
Quality of Support
8.2
24
9.5
26
Has the product been a good partner in doing business?
9.3
7
8.7
9
Product Direction (% positive)
8.0
23
10.0
31
Features by Category
Data Governance
8.3
11
Not enough data
8.3
10
Not enough data
7.8
10
Not enough data
Data Preparation
8.2
11
Not enough data
8.2
11
Not enough data
7.7
10
Not enough data
8.2
10
Not enough data
Collaboration
8.2
10
Not enough data
8.2
11
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
Artificial Intelligence
8.5
9
Not enough data
7.1
8
Not enough data
7.8
9
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
Not enough data
Not enough data
System
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
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
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
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
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
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Quality
8.5
9
9.1
19
8.5
9
9.2
22
8.9
9
9.0
21
8.3
8
9.1
20
Automation
8.1
8
8.9
19
9.0
8
8.7
13
Image Annotation
8.3
8
9.1
16
8.8
8
9.1
19
8.3
8
8.8
15
8.7
9
9.1
19
Natural Language Annotation
8.8
7
9.1
18
8.8
7
8.7
10
9.0
7
8.9
11
Speech Annotation
8.6
7
8.7
13
8.8
8
8.8
8
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
Not enough data
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
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
Categories
Categories
Shared Categories
Appen and Kili are categorized as Data Labeling
Unique Categories
Appen is categorized as Machine Learning Data Catalog
Kili is categorized as MLOps Platforms, Image Recognition, Data Science and Machine Learning Platforms, and Machine Learning
Reviews
Reviewers' Company Size
Appen
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Kili
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
17.9%
Higher Education
10.7%
Education Management
10.7%
Internet
7.1%
Computer Software
7.1%
Other
46.4%
Information Technology and Services
43.5%
Computer Software
15.2%
Research
4.3%
Marketing and Advertising
4.3%
Environmental Services
4.3%
Other
28.3%
Most Helpful Reviews
Appen
Most Helpful Favorable Review
Verified User in Telecommunications
The best thing about Appen is its support system because Appen provide very efficient and amazing support.
Most Helpful Critical Review
Vivekraj S.
Verified User in Information Technology and Services
The pay rate is very low as $2 per hour. You have to work long hours to earn some money. I used to get paid $24 for transcribing half an hour of audio which takes nearly 4 days to complete.
Kili
Most Helpful Favorable Review
Anurag S.
Verified User in Computer Software
Super smooth UI makes the annotations work simple by loads, this makes the workflow simpler and proportionality increasing the productivity of the team.
Most Helpful Critical Review
Verified User in Telecommunications
The best thing about Appen is its support system because Appen provide very efficient and amazing support.
Anurag S.
Verified User in Computer Software
Super smooth UI makes the annotations work simple by loads, this makes the workflow simpler and proportionality increasing the productivity of the team.
Vivekraj S.
Verified User in Information Technology and Services
The pay rate is very low as $2 per hour. You have to work long hours to earn some money. I used to get paid $24 for transcribing half an hour of audio which takes nearly 4 days to complete.
Alternatives
Discussions
Appen has no discussions with answers
Kili has no discussions with answers
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