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Data Protection Pioneers Secure US$5 Million Investment to Expand Globally, Enhance Ethical AI Technology, and Increase Contributor Networks and Enterprise Collaborations

Funding propels D-GN out of secrecy and speeds up its worldwide deployment, amplifying contributor activities, multi-faceted data channels, and enterprise connections globally.

"Data Guardians Network Secures $5 Million Investment to Advance Ethical AI Development"
"Data Guardians Network Secures $5 Million Investment to Advance Ethical AI Development"

Data Protection Pioneers Secure US$5 Million Investment to Expand Globally, Enhance Ethical AI Technology, and Increase Contributor Networks and Enterprise Collaborations

The Data Guardians Network (D-GN), a groundbreaking decentralized platform, has closed a successful $5 million pre-seed round. This investment will propel D-GN's mission to become the world's largest ethical AI data producer, scaling operations across MENA, Latin America, and Southeast Asia.

Founded by Johanna Cabildo, D-GN is set to transform the AI industry by revolutionizing how frontier training data is created. The platform emphasizes ethical standards, transparency, traceability, and fair compensation for data contributors.

Key features of D-GN include a decentralized contributor model, ethical and auditable data, high-precision training data, and significant funding and leadership.

By gathering data contributions from a global network of human providers, D-GN ensures that data contributors are rewarded transparently through on-chain traceability mechanisms and payments in stablecoins like USDT. This guarantees fairness in participation.

The platform delivers auditable, ethically sourced multimodal training datasets that support both enterprise AI development and open-source frameworks. This is crucial in overcoming ethical challenges in AI data gathering, such as bias, privacy violations, and lack of accountability.

D-GN provides high-quality, frontier datasets essential for next-generation AI models, supporting advances while maintaining ethical rigor.

Notable investors in this round include droppGroup, Saudi investor Hamoud Al-Rumayyan, and Hub Culture. droppGroup, an AI and blockchain enterprise infrastructure leader, joined the round as an investor.

Users around the world can complete data annotation tasks through a gamified experience and earn Tether's USDT stablecoin.

With this funding, D-GN aims to transform the AI industry's approach to data sourcing, enabling the development of AI systems trained on verifiable, ethically obtained data rather than opaque or exploitative data sources. This supports trustworthiness and accountability in AI model training at a global scale.

D-GN solves the issue of billions of dollars in lawsuits due to AI models being trained on stolen or unlicensed data. By sourcing diverse, human-created and -labelled frontier datasets, D-GN enables enterprises to build trustworthy AI.

In conclusion, the Data Guardians Network is a decentralized platform transforming global human input into frontier training data for AI, ensuring ethical, transparent, and fair data sourcing for the future of AI development.

  1. The investment in the Data Guardians Network (D-GN) will aid in scaling its operations across multiple regions like MENA, Latin America, and Southeast Asia, as part of its vision to become the world's largest ethical AI data producer.
  2. The platform's founder, Johanna Cabildo, is set to revolutionize the AI industry by innovating how frontier training data is created, emphasizing ethical standards, transparency, traceability, and fair compensation for data contributors.
  3. D-GN is poised to change the AI industry by addressing ethical challenges in data gathering, such as bias, privacy violations, and lack of accountability, through the delivery of auditable, ethically sourced multimodal training datasets.
  4. Notable investors in the D-GN pre-seed round include AI and blockchain enterprise infrastructure leader, droppGroup, who joined as an investor, Saudi investor Hamoud Al-Rumayyan, and Hub Culture.
  5. By sourcing diverse, human-created and -labelled frontier datasets, D-GN solves the issue of AI models being trained on stolen or unlicensed data, enabling enterprises to build trustworthy AI and avoid potential lawsuits worth billions of dollars.

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