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Total 5 out of 5 stars
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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 Bittensor?

Bittensor is a cutting-edge, open-source protocol aimed at facilitating a decentralized machine-learning network that leverages blockchain technology. In this dynamic ecosystem, machine learning models work together during the training process and receive TAO tokens as compensation for the valuable information they provide to the network. Additionally, TAO allows users to access the network externally, enabling them to gather data while customizing the network's functionality to align with their needs. Our overarching ambition is to create a legitimate marketplace for artificial intelligence, where both purchasers and vendors can interact in a manner that is trustless, transparent, and accessible. This innovative approach signifies a transformative method for the development and distribution of AI technology, harnessing the benefits of distributed ledgers to encourage open access and ownership, facilitate decentralized governance, and utilize a worldwide network of computational resources and innovative talent within a rewarding framework. By nurturing a collaborative atmosphere, we seek to amplify the capabilities of artificial intelligence, ensuring that every participant reaps the rewards of their contributions, thus fostering a thriving community dedicated to advancing this essential technology. Furthermore, our commitment to inclusivity ensures that diverse perspectives can contribute to the evolution of AI, enriching the overall landscape of this rapidly advancing field.

Media

Media

Integrations Supported

Integrations Supported

Targon

API Availability

API Availability

Pricing Information

Please contact us to get a quote on pricing

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OORT DataHub

Company Location

United States

Company Website

www.oortech.com

Company Facts

Organization Name

Bittensor

Company Website

docs.bittensor.com

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

Blockchain

Not specified

Machine Learning

Not specified

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