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Compare Appen and Clarifai 
Featured Products
At a Glance
Market Segments
Small-Business (54.8% of reviews)
Small-Business (61.5% of reviews)
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Free 1000 operations
Appen
Star Rating
(32)4.2 out of 5
Market Segments
Small-Business (54.8% of reviews)
Pros & Cons
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Browse all 2 pricing plansClarifai
Star Rating
(65)4.3 out of 5
Market Segments
Small-Business (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1000 operations
Browse all 4 pricing plansAppen vs Clarifai
When assessing the two solutions, reviewers found them equally easy to use, and both vendors make it equally easy to do business overall. However, Appen is easier to set up and administer.
- Appen and Clarifai both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that Clarifai is the preferred option.
- When assessing product direction, Appen and Clarifai received similar ratings from our reviewers.
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.
Clarifai
Clarifai Community
Free
1000 operations
We offer a free version of our platform for our community to discover, develop and share models, workflows, and datasets.
- Access to 100s of models from Clarifai, Facebook, Google, Hugging Face, Microsoft, Princeton NLP, Salesforce
- Easy UI with a “drag-n-drop” workflow graph editor
- Access to community shared workflows, datasets, and apps
Free Trial
Appen
No trial information availableClarifai
Free Trial is available
Ratings
Meets Requirements
8.2
28
8.2
58
Ease of Use
8.2
28
8.2
58
Ease of Setup
8.6
12
7.7
35
Ease of Admin
9.2
8
8.8
20
Quality of Support
8.0
27
8.1
49
Has the product been a good partner in doing business?
8.5
8
8.5
18
Product Direction (% positive)
7.8
26
7.8
53
Features by Category
Data Governance
8.3
13
Not enough data
8.2
12
Not enough data
7.8
12
Not enough data
Data Preparation
8.3
13
Not enough data
8.2
13
Not enough data
7.9
12
Not enough data
7.9
12
Not enough data
Collaboration
8.1
12
Not enough data
8.1
13
Not enough data
8.2
11
Not enough data
8.0
11
Not enough data
Artificial Intelligence
8.3
11
Not enough data
7.2
10
Not enough data
7.4
11
Not enough data
Generative AI
7.6
7
Not enough data
8.3
7
Not enough data
Agentic AI - Machine Learning Data Catalog
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
System
Not enough data
8.4
17
Model Development
Not enough data
8.7
18
Not enough data
7.8
18
Not enough data
9.2
18
Not enough data
8.4
18
Model Development
Not enough data
8.8
15
Machine/Deep Learning Services
Not enough data
8.7
18
Not enough data
9.1
16
Not enough data
8.4
16
Not enough data
8.4
17
Machine/Deep Learning Services
Not enough data
8.8
16
Not enough data
8.5
16
Deployment
Not enough data
8.2
17
Not enough data
8.0
17
Not enough data
8.0
15
Generative AI
Not enough data
8.8
15
Not enough data
8.7
15
Not enough data
8.3
15
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
8.5
11
8.3
13
8.7
10
8.7
13
9.0
10
8.9
12
8.3
9
8.1
12
Automation
8.1
9
7.9
12
8.7
9
7.8
12
Image Annotation
8.3
9
7.9
11
8.7
9
8.3
12
8.3
9
8.3
11
8.8
10
8.3
11
Natural Language Annotation
8.8
8
7.9
11
8.8
8
8.1
9
9.0
8
7.8
9
Speech Annotation
8.8
8
7.3
8
8.7
9
7.7
8
Recognition Type
Not enough data
8.3
12
Not enough data
9.1
15
Not enough data
8.7
14
Not enough data
7.6
12
Not enough data
8.1
12
Not enough data
7.8
13
Not enough data
8.2
11
Not enough data
7.9
13
Facial Recognition
Not enough data
8.5
13
Not enough data
7.8
12
Labeling
Not enough data
8.3
12
Not enough data
8.6
12
Not enough data
9.1
13
Deployment
Not enough data
8.6
13
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.4
22
Not enough data
8.1
21
Not enough data
9.0
21
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.9
22
Not enough data
8.4
20
Not enough data
Feature Not Available
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.1
19
Not enough data
7.9
20
Not enough data
8.5
21
Security and Compliance - Generative AI Infrastructure
Not enough data
8.8
19
Not enough data
8.5
19
Not enough data
Feature Not Available
Usability and Support - Generative AI Infrastructure
Not enough data
7.9
20
Not enough data
Feature Not Available
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
Usability - Emotion AI
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 - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Detection Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Appen and Clarifai are categorized as Data Labeling
Unique Categories
Appen is categorized as Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Appen
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Clarifai
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
22.6%
Higher Education
9.7%
Education Management
9.7%
Internet
6.5%
Computer Software
6.5%
Other
45.2%
Computer Software
23.1%
Information Technology and Services
12.3%
Higher Education
9.2%
Education Management
4.6%
Online Media
3.1%
Other
47.7%
Alternatives
Discussions
Appen has no discussions with answers
Clarifai has no discussions with answers
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