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What is Appen?

Appen harnesses the capabilities of over a million individuals globally, leveraging advanced algorithms to generate top-notch training data tailored for your machine learning initiatives. By simply uploading your data onto our platform, we will deliver all the required annotations and labels that form the foundation of accurate model training. Properly annotated data is crucial for any AI or ML model to function effectively, as it enables your models to make informed decisions. Our system merges human insights with state-of-the-art techniques to annotate a diverse array of raw data, encompassing text, images, audio, and video. This process ensures that the precise ground truth is established for your models. Additionally, our user-friendly interface allows for easy navigation and offers the flexibility to interact programmatically through our API, making the integration seamless and efficient. With Appen, you can be confident in the quality and reliability of your training data.

What is Human Native?

We are bridging the gap between copyright owners and AI developers to guarantee that creators receive appropriate compensation for their intellectual property. This initiative aids AI developers by providing access to a comprehensive list of rights holders and their works, enabling them to source high-quality data responsibly. By ensuring that AI developers can easily access premium content, we enhance the quality of their projects. Rights holders retain significant control over which specific creations can be utilized for AI training, allowing them to protect their interests. In addition, we offer monitoring services designed to detect any unauthorized use of copyrighted materials. Our platform empowers rights holders to monetize their works for AI training through options such as recurring subscriptions or revenue-sharing agreements. We also help publishers prepare their materials for AI applications by conducting thorough indexing, benchmarking, and evaluations to determine the quality and value of their data sets. Notably, you can submit your catalog to the marketplace without any charges, ensuring that your contributions are fairly compensated. In addition, you have the flexibility to choose whether to participate in generative AI applications and receive alerts about potential copyright violations, thereby reinforcing your rights in the continuously evolving digital environment. This holistic approach not only supports rights holders but also cultivates a responsible and ethical framework for AI development, ultimately benefiting the entire industry and its stakeholders. As the landscape of AI continues to change, our commitment to safeguarding creators' rights remains steadfast.

Media

Media

Integrations Supported

Amazon EC2
Amazon Redshift
Amazon S3
Google Cloud Platform
IBM Cloud
Microsoft Azure

Integrations Supported

Amazon EC2
Amazon Redshift
Amazon S3
Google Cloud Platform
IBM Cloud
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Appen

Date Founded

1996

Company Location

Australia

Company Website

appen.com

Company Facts

Organization Name

Human Native

Date Founded

2024

Company Location

United Kingdom

Company Website

www.humannative.ai/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Labeling

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Speech Analytics

Automatic Transcription
Call Center Management
Call Recording
Customer Experience Management
Data Security
Natural Language Processing
Predictive Analytics
Self-Service Search
Sentiment Analysis
Surveys & Feedback

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