Related Products
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About
AfterQuery is an applied research platform designed to create high-quality training data for frontier artificial intelligence models by capturing how real experts think, reason, and solve problems in professional contexts. It focuses on transforming real-world work into structured datasets that go beyond simple outputs, encoding decision-making processes, tradeoffs, and contextual reasoning that traditional internet-sourced data cannot provide. It works directly with domain experts to generate supervised fine-tuning data, including prompt–response pairs and detailed reasoning traces, as well as reinforcement learning datasets with expert-designed prompts and grading frameworks that convert subjective judgment into scalable reward signals. It also builds custom agent environments across APIs and tools, enabling models to be trained and evaluated in realistic workflows, and captures computer-use trajectories that demonstrate how humans interact with software step by step.
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About
The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI researchers, developers, and enterprises building advanced models who need high-quality, expert-driven training data to improve reasoning and real-world task performance
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Audience
Organizations of all sizes interested in a human crowdsourced AI and machine learning platform
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAfterQuery
Founded: 2025
United States
www.afterquery.com
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Company InformationAppen
Founded: 1996
Australia
appen.com
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Categories |
Categories |
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Data Labeling Features
Human-in-the-loop
Supported
Labeling Automation
Supported
Labeling Quality
Supported
Performance Tracking
Not Supported
Polygon, Rectangle, Line, Point
Not Supported
SDK
Not Supported
Supports Audio Files
Not Supported
Task Management
Supported
Team Collaboration
Supported
Training Data Management
Supported
Speech Analytics Features
Automatic Transcription
Supported
Call Center Management
Not Supported
Call Recording
Not Supported
Customer Experience Management
Not Supported
Data Security
Not Supported
Natural Language Processing
Supported
Predictive Analytics
Not Supported
Self-Service Search
Not Supported
Sentiment Analysis
Supported
Surveys & Feedback
Supported
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Integrations
Amazon EC2
Not Supported
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Google Cloud Platform
Not Supported
IBM Cloud
Not Supported
Microsoft Azure
Not Supported
Model Context Protocol (MCP)
Supported
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Integrations
Amazon EC2
Supported
Amazon Redshift
Supported
Amazon S3
Supported
Google Cloud Platform
Supported
IBM Cloud
Supported
Microsoft Azure
Supported
Model Context Protocol (MCP)
Not Supported
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