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Description

Glitter Protocol is an innovative platform that leverages blockchain technology to revolutionize the way developers can store, manage, and enhance global data in a Web3-friendly manner. It provides a suite of multi-language SDKs, including options for SQL integration, alongside a robust role-based access control system to ensure secure writing and collaboration on datasets. The platform's advanced indexing engine incorporates both traditional database functionalities and full-text search, facilitating swift and efficient data discovery and retrieval. With its token-economics framework, Glitter encourages data sharing and monetization, rewarding contributors who supply valuable datasets while offering developers access to a marketplace-like "datamap" to find various data assets. Additionally, it supports the seamless transition of existing Web2 applications and data into the Web3 environment, with the goal of organizing and decentralizing unstructured data, enhancing its accessibility and usability, and promoting collaborative efforts within the community. By bridging the gap between the traditional web and the decentralized future, Glitter Protocol aims to empower developers and data contributors alike.

Description

Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets. Platform Highlights: Worldwide Collection: Tap into global contributors for comprehensive data gathering Blockchain Security: Every contribution tracked and verified on-chain Quality Focus: Expert validation ensures exceptional data standards Platform Benefits: Rapid scaling of data collection Complete data providence tracking Validated datasets ready for AI use Cost-efficient global operations Flexible contributor network How It Works: Define Your Needs: Create your data collection task Community Activation: Global contributors notified and start gathering data Quality Control: Human verification layer validates all contributions Sample Review: Get dataset sample for approval Full Delivery: Complete dataset delivered once approved

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docusaurus Yes 
Ethereum Yes 
Filecoin Yes 
IPFS Yes 
Primal Yes 
SQL Yes 
Solana Yes 

Integrations

Docusaurus No 
Ethereum No 
Filecoin No 
IPFS No 
Primal No 
SQL No 
Solana No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Please contact us to get a quote on pricing
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Glitter

Founded

2021

Country

United States

Website

glitterprotocol.io

Vendor Details

Company Name

OORT DataHub

Country

United States

Website

www.oortech.com

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Product Features

AI Development

OORT offers a comprehensive ecosystem for AI development that encompasses all key components: data acquisition, annotation, storage, and computational resources. Our platform guarantees that AI models are trained using high-quality datasets that are ethically sourced and recorded on the blockchain for enhanced transparency and reliability. With scalable storage options and a forthcoming computing layer, developers can access all necessary tools to efficiently build, train, and deploy their AI models. By embedding data integrity, security, and scalability into a cohesive workflow, OORT streamlines the AI development process, fostering rapid innovation with dependable data and infrastructure.

AI Infrastructure

OORT offers a comprehensive AI infrastructure that encompasses every stage of the process, from gathering and annotating data to its storage and computational needs. Our worldwide network facilitates the training of AI models with a variety of high-quality datasets obtained from genuine contributors, promoting authenticity and minimizing bias. Each data entry is securely recorded on a blockchain, ensuring a verifiable and tamper-resistant audit trail that upholds trust and integrity. With scalable decentralized storage and a forthcoming compute layer, OORT removes the dependency on disjointed systems, empowering developers to effortlessly create, train, and deploy AI within a cohesive, transparent, and efficient framework.

AI Training Data Providers

OORT DataHub is an innovative platform utilizing blockchain technology to supply premium training data for AI and machine learning applications. It facilitates a global crowdsourced approach to data gathering and preprocessing, amassing a wide array of datasets—including images, audio, and video—from a vast network of over 200,000 skilled contributors spanning 136 countries. The platform prioritizes security and transparency with blockchain-based mechanisms and globally distributed, tamper-resistant encrypted storage. OORT DataHub provides precise data labeling services designed for various AI functions, including sentiment analysis, object detection, and classification. Its unique Proof-of-Honesty consensus and human-in-the-loop quality assurance processes ensure the accuracy and dependability of datasets. Clients can effortlessly initiate and manage projects through an intuitive interface, receiving datasets that are fully prepared for AI training.

Artificial Intelligence

OORT DataHub propels the advancement of AI by offering developers access to premium, ethically obtained datasets sourced from a worldwide community of contributors. Our decentralized platform guarantees that each data entry is logged on-chain, validated by humans, and designed to uphold privacy. Utilizing a transparent and trustless system, we eradicate bias, bolster traceability, and ensure data integrity throughout the process. With OORT, developers can create robust AI models using secure, verifiable, and varied datasets—advancing AI innovation while maintaining trust and precision.

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Blockchain

OORT leverages blockchain technology to establish a robust framework of trust, safety, and clarity in the realm of AI data. Each data input is permanently logged on the blockchain, forming a secure and unchangeable record that affirms its legitimacy and deters any alterations. This decentralized method of verification removes the need for middlemen, guaranteeing that all data is open, traceable, and confirmable throughout its lifecycle. By embedding blockchain at its foundation, OORT pioneers a new benchmark for responsible, transparent, and reliable AI data governance.

Crowdsourcing

OORT DataHub harnesses the power of crowdsourcing to fuel AI with a rich variety of top-notch data sourced from a worldwide community of contributors. By allowing individuals to engage in the processes of data collection and labeling, we eliminate conventional obstacles to the creation of AI datasets while guaranteeing true representation from the real world. Each contribution is securely recorded on the blockchain to ensure authenticity and traceability, supported by a robust reputation system, validation mechanisms, and human oversight that uphold the highest standards of data integrity. This decentralized and transparent model guarantees that AI systems are built on verified, bias-resistant, and ethically sourced datasets, fostering a scalable and reliable data ecosystem for AI innovation.

Data Annotation

OORT DataHub specializes in precise and effective data labeling, guaranteeing that AI models are developed using meticulously annotated, high-quality datasets. By integrating human oversight with advanced, scalable technologies, we produce organized data that boosts AI effectiveness. Each annotation is documented on the blockchain, ensuring transparency and dependability throughout machine learning processes.

Data Collection

OORT DataHub transforms the way data is gathered by utilizing a decentralized global network to collect extensive real-world information. Each submission is documented on-chain, guaranteeing its authenticity, traceability, and protection against tampering. By eliminating centralized authorities, our approach facilitates a wide array of data sourcing that is both diverse and impartial, all while upholding privacy and ethical standards. Featuring integrated fraud detection and human oversight, OORT ensures the production of high-caliber datasets that support trustworthy AI advancements without sacrificing integrity or safety.

Data Labeling

OORT DataHub revolutionizes the data labeling process by adopting a decentralized approach that prioritizes precision and accuracy, ensuring that AI models are constructed on reliable and impartial data. Our platform integrates AI-driven tools with human validation to produce meticulously annotated datasets that adhere to the strictest quality benchmarks. Each labeled data entry is documented on a blockchain, ensuring complete traceability and safeguarding against manipulation. This methodology not only boosts the dependability of training datasets but also upholds ethical standards, positioning OORT as a trustworthy cornerstone for the advancement of machine learning.

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

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