DataCrowd

Decentralized Data Solutions

Connecting AI innovators with skilled contributors through a secure, blockchain-powered platform, delivering accurate, high-quality data to fuel your AI models.

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Accurate Data Annotation

about us

Empowering AI Through Decentralized Data Annotation

DataCrowd is at the forefront of transforming the AI industry by delivering high-quality, secure, and transparent data annotation solutions. Leveraging blockchain technology, our decentralized platform connects AI innovators with skilled contributors to provide meticulously annotated data. By integrating smart contracts and traceable data transactions, we ensure that all contributions are rewarded fairly and transparently, fueling the future of AI.

  • Decentralized Platform
  • Diverse Applications
  • Accuracy Assurance
  • Fair Rewards
Explore the White Paper

Features

DataCrowd Features

Blockchain Security

Secure and transparent data transactions recorded on blockchain to ensure full traceability and trust.

Crowd-sourcing Platform

Engage a global community for large-scale data collection and annotations, providing flexibility and scalability.

Automated Quality Control

Ensure high data accuracy with AI-driven tools for real-time quality checks and validations on annotations.

roadmap

Features & Development Roadmap

Q4 2024

1

Initiate the Closed Beta release of the Telegram App, allowing a select group of users to test features and provide feedback for further refinement.

Q4 2024

2

Launch the Open Beta for the Telegram App, broadening access to more users and gathering real-time feedback to further enhance the application.

Q1 2025

3

Officially release the full version of the Telegram App, complete with optimized features and improved user experience based on beta feedback.

Q2 2025

4

Grow the community by attracting at least 5,000 contributors from diverse regions, spanning over 20 countries to enhance the global reach and data quality.

our team

Meet the Minds behind DataCrowd

Henry Astley

Henry Astley

CEO

Henry is a seasoned management consultant specializing in technology for Fortune 500 firms, with experience at Accenture leading AI and blockchain projects. He also freelances in sales, marketing, and PR, supporting startups and major corporations. Henry holds a Master’s in Finance with a full scholarship and studied at top Australian institutions.

Weber Chow

Weber Chow

COO

With 18+ years in the TMT industry, Weber specializes in corporate management and tech applications across media, education, and e-commerce. As Asia Media Group’s Platform VP, he led AdSense development and built strategic Southeast Asian partnerships. Co-founder of the Southeast Asian Blockchain Alliance, he drives Web3 innovation for social and economic growth.

Evan Wong

Evan Wong

CMO

Evan is an experienced project manager in global marketing for education, new media, and blockchain, previously serving as PR director for Finblock and GPE. Skilled in social media and content strategy, he has led successful international expansions and boosted brand engagement. Evan holds a Bachelor’s degree from Fu Jen Catholic University in Taiwan.

Amir Kadric

Amir Kadric

CTO

Amir is a Web3 and AI-focused IT professional with 16+ years of experience and 8+ years in crypto as a trader, teacher, and supporter. He has led platform-level Web3 development and managed blockchain teams. Amir earned a Bachelor’s degree from DeVry University, USA.

FAQs

Frequently Asked Questions

DataCrowd is a decentralized data annotation platform built on blockchain and Web3 concepts. It connects AI companies with individuals who provide data annotation services. By leveraging blockchain technology, DataCrowd ensures data security, transparency, and fair compensation for contributors, offering high-quality annotated data for training AI models.

DCAI (DataCrowd AI coin) serves as the primary currency for transactions on the platform. AI companies use DCAI tokens to purchase annotation services, and contributors earn tokens by completing tasks. The tokens also incentivize contributor participation and ensure a community-driven approach to platform development and sustainability.

DataCrowd employs a five-metric evaluation system that assesses contributors based on engagement, quality, task difficulty, reputation, and comprehensiveness. This system ensures fair compensation by dynamically evaluating and rewarding contributors based on their performance and the complexity of the tasks they complete.

For AI companies, DataCrowd provides access to diverse, high-quality annotated data essential for training models. For contributors, the platform offers fair rewards through token-based incentives, transparency via blockchain smart contracts, and opportunities to improve their reputation and access higher-value tasks.