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Total 5 out of 5 stars
ease 4.5 out of 5 stars
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design 4.5 out of 5 stars
support 4.5 out of 5 stars

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What is OORT DataHub?

Our innovative decentralized platform enhances the process of AI data collection and labeling by utilizing a vast network of global contributors. By merging the capabilities of crowdsourcing with the security of blockchain technology, we provide high-quality datasets that are easily traceable. Key Features of the Platform: Global Contributor Access: Leverage a diverse pool of contributors for extensive data collection. Blockchain Integrity: Each input is meticulously monitored and confirmed on the blockchain. Commitment to Excellence: Professional validation guarantees top-notch data quality. Advantages of Using Our Platform: Accelerated data collection processes. Thorough provenance tracking for all datasets. Datasets that are validated and ready for immediate AI applications. Economically efficient operations on a global scale. Adaptable network of contributors to meet varied needs. Operational Process: Identify Your Requirements: Outline the specifics of your data collection project. Engagement of Contributors: Global contributors are alerted and begin the data gathering process. Quality Assurance: A human verification layer is implemented to authenticate all contributions. Sample Assessment: Review a sample of the dataset for your approval. Final Submission: Once approved, the complete dataset is delivered to you, ensuring it meets your expectations. This thorough approach guarantees that you receive the highest quality data tailored to your needs.

What is Kled?

Kled functions as a secure cryptocurrency marketplace that links content rights holders with AI developers by providing ethically sourced, high-quality datasets across various formats such as video, audio, music, text, transcripts, and behavioral data for the training of generative AI models. The platform carefully oversees the entire licensing workflow, which includes curating, labeling, and evaluating datasets to ensure accuracy and mitigate bias, while also managing contracts and payments securely, and facilitating the development and exploration of customized datasets within its marketplace. Rights holders can conveniently upload their original content, determine their licensing preferences, and receive KLED tokens as compensation, while developers gain access to premium data essential for responsible AI model training. Furthermore, Kled equips users with monitoring and recognition tools to ensure authorized usage and identify potential misuse. With a focus on transparency and compliance, the platform effectively bridges the gap between intellectual property owners and AI developers, providing a powerful yet user-friendly interface that elevates the overall experience. This innovative framework not only encourages collaboration but also champions ethical standards in the rapidly evolving AI sector, ultimately contributing to a more responsible technological future. As the landscape continues to change, Kled remains committed to adapting and enhancing its offerings to support the needs of both rights holders and developers alike.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Please contact us to get a quote on pricing

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

SaaS
iPhone

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

OORT DataHub

Company Location

United States

Company Website

www.oortech.com

Company Facts

Organization Name

Kled AI

Date Founded

2025

Company Location

United States

Company Website

www.kled.ai/

Categories and Features

AI Development

Not specified

AI Infrastructure

Not specified

Blockchain

Not specified

Crowdsourcing

Not specified

Data Annotation

Not specified

Data Collection

Not specified

Data Labeling

Not specified

RLHF

Not specified

Web Dataset Providers

Not specified

Categories and Features

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