txt

Appen

  • Data Resources & Management
  • 0 Case Studies
Confidence to Deploy AI with World-Class Training Data
About

When your goal is to launch world-class AI, our reliable training data gives you the confidence to deploy

Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

Confidently Deploy Machine Learning Products With Our Platform

The most advanced AI-assisted data annotation platform
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.

Company Details
  • https://appen.com/
  • Year Founded 1996
  • Company Size 501-1,000 employees
  • Specialties Machine Learning, Technology & Internet, Data Science, Deep Learning, Product Development, Data Resources & Management
How Appen uses AI in their company

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.

A large majority of our annotation tools have machine learning assistance (MLA) built in to enhance the speed and accuracy of our annotators. Machine learning assistance combines machine predictions with human annotations so that instead of having to create a judgement from scratch, a machine learning model will suggest a judgment, and the human contributor can simply review and edit the suggestion saving time and effort.

With human contributors reviewing machine predictions instead of starting a judgement from scratch, the data annotation time drastically reduces. This enables fast, scalable model deployment along with the peace of mind in knowing that our teams are there to confirm and correct your model predictions if needed.


Related Companies
BasicAI
  • Data Resources & Management
  • |
  • 0 Case Studies
BasicAI has deep expertise in training data collection and annotation for Artificial Intelligence and Machine Learning applications.
Sensefolio
  • Finance
  • |
  • 0 Case Studies
Give Sense to your Portfolio. #sensefolio
Stermedia.ai
  • Machine Learning
  • |
  • 0 Case Studies
Machine and Deep Learning for Your Advantage
Hasty
  • Computer Vision
  • |
  • 0 Case Studies
Image annotation with AI assistance
Audioburst
  • Speech Processing
  • |
  • 0 Case Studies
Connecting listeners to the world's audio content

Discover, Learn and Evaluate AI Companies and Solutions

Save content to your library

Save case studies, articles, blog posts and more. Curate your research library with content directly from AI companies.

Login with LinkedIn Login with Twitter

Sign in with Email

The latest updates from AI companies in your industry

Get a weekly newsletter with the latest posts directly from the AI companies. Follow companies to tailor your feed.