Hasty vs. Appen Comparison


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About The Hasty platform provides everything needed to go from raw images and videos to production-ready models. The Hasty platform is helping world-class organizations deliver AI to production. The idea behind Hasty's annotation solution is simple. You annotate images, and we use the annotations to train AI models making it faster to create more annotations. This continuously improving approach ensures that you build your data asset faster than ever before. With AI consensus scoring, no complex review workflows or expensive redundancies are needed. We use AI to find potential errors, which can then be fixed at the click of a button. With the model playground, the platform enables the quick creation of models, tuning them to the smallest parameter and deploying them in our data annotation environment to enable unparalleled annotation speed. The models can also be exported and deployed in your own environment.	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.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Organizations looking for an AI solution to automate their quality control work and deploy vision AI models	Audience Organizations of all sizes interested in a human crowdsourced AI and machine learning platform
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Hasty Founded: 2010 Germany hasty.cloudfactory.com	Company Information Appen Founded: 1996 Australia appen.com
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Categories Computer Vision Data Annotation Data Labeling	Categories AI Training Data Providers Artificial Intelligence Data Annotation Data as a Service (DaaS) Data Labeling Gig Economy Image Annotation Machine Learning RLHF Speech Analytics Video Annotation
	Data Labeling Features Human-in-the-loop Labeling Automation Labeling Quality Performance Tracking Polygon, Rectangle, Line, Point SDK Supports Audio Files Task Management Team Collaboration Training Data Management Show More Features Speech Analytics Features Automatic Transcription Call Center Management Call Recording Customer Experience Management Data Security Natural Language Processing Predictive Analytics Self-Service Search Sentiment Analysis Surveys & Feedback
Integrations Amazon EC2 Amazon Redshift Amazon S3 Google Cloud Platform IBM Cloud Microsoft Azure	Integrations Amazon EC2 Amazon Redshift Amazon S3 Google Cloud Platform IBM Cloud Microsoft Azure View All 6 Integrations
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