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What is GCX?

Global Copyright Exchange, abbreviated as GCX, operates as a licensing hub for datasets specifically designed for AI-driven music production, offering ethically obtained and copyright-cleared high-quality datasets that cater to a variety of uses, including music generation, source separation, music recommendation, and music information retrieval (MIR). Launched by Rightsify in 2023, this platform features an extensive library of over 4.4 million hours of audio and 32 billion pairs of metadata and text, accumulating more than 3 petabytes of data containing MIDI files, stems, and WAV formats, all enriched with detailed metadata covering aspects such as key, tempo, instrumentation, and chord progressions. Users have the option to license these datasets in their original state or to tailor them according to specific genres, cultures, instruments, and other criteria, while enjoying complete commercial indemnification. By bridging the gap between creators, rights holders, and AI developers, GCX streamlines the licensing process and ensures compliance with legal requirements. Furthermore, it allows for perpetual usage and unlimited modifications, receiving accolades for its quality from Datarade. The platform is utilized in areas such as generative AI, academic research, and multimedia production, thereby significantly advancing the capabilities and prospects of music technology and innovation within the industry. As a testament to its commitment to fostering creativity, GCX not only enhances the landscape of music development but also empowers artists and developers to explore new horizons in sound.

What is Dataset Finder?

Dataset Finder is an all-encompassing platform designed for the management of AI training data. It empowers AI professionals, researchers, startups, and corporate teams to smoothly navigate a extensive library of curated datasets through simple natural language searches, evaluate these datasets based on more than 30 criteria including quality, licensing, bias, labels, and appropriateness for fine-tuning, and systematically organize their data into tailored projects and collections. Beyond merely facilitating the discovery of datasets, Dataset Finder also provides functionalities for monitoring training data inventory and lineage, as well as offering reusable AI training recipes and personalized data annotation services via Innovatiana. This platform is designed to unify the processes of dataset discovery, evaluation, organization, governance, and customized data generation into one streamlined workspace. By doing so, it significantly minimizes the time teams spend on data management, allowing them to concentrate more on advancing AI development. Additionally, by refining these workflows, Dataset Finder not only enhances productivity but also significantly improves the overall caliber of AI initiatives, making it an invaluable tool for any data-driven project.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Rightsify

Date Founded

2013

Company Location

United States

Company Website

www.gcx.co

Company Facts

Organization Name

Dataset Finder

Date Founded

2026

Company Location

France

Company Website

datasetfinder.co

Categories and Features

Categories and Features

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