Recent Developments

• Data Milestones: On February 15, Grass announced a new all-time high (ATH) in data capture, exceeding 1,000,000 GB in a single day. This is double the amount captured on February 13 and surpasses the data processing capacity of the human brain over 40 years.

• Upcoming Interaction Updates: On March 7, Grass announced that future updates will be shared on Instagram.

Introduction to Grass

Grass is a decentralized network for accessing public data, serving as a source of training data for AI models. Deployed on Solana, it combines AI, DePIN (Decentralized Physical Infrastructure Network), and Solana technology to function as the data layer for AI. Users can share idle internet bandwidth to earn passive income without significant resource investment. Grass prioritizes privacy protection and decentralized governance, ensuring data security and user participation in the project's future.

Core Components

• Validators: Key network components that use zk-SNARK proofs to verify the authenticity of training data, ensuring accuracy and reliability.

• Grass Nodes: The foundational infrastructure of the network, allowing users to share unused internet bandwidth to fetch and transmit data.

• Zero-Knowledge Processor (ZKP): A system composed of validators, provers, and challengers to maintain security and validation through ZK TLS, proof generation, and decentralized databases.

• Grass Data Ledger: Records the history of each collected dataset, including its source, collection method, and transformation process.

Team and Background

Wynd Network, the Canadian company supporting Grass, remains mostly anonymous. Its co-founder, Andrej Radonjic, holds a Master's degree in Mathematics and Statistics from York University and a Bachelor's degree in Engineering Physics from McMaster University. He previously participated in the $1.1 million Pre-Seed round of the AI security platform, rug ai.

Funding Rounds

• Pre-Seed Round: Completed in July 2023, raising $1 million led by No Limit Holdings.

• Seed Round: Completed in December 2023, raising $3.5 million led by Polychain Capital.

• Series A Round: Completed in September 2024, raising an undisclosed amount led by Hack VC, with participation from Delphi Digital, Polychain, Brevan Howard Digital, and Lattice Capital, valuing the company at $1 billion.

Summary and Future Outlook

Despite challenges in maintaining privacy and efficiency as the network expands, Grass offers a decentralized data layer for AI companies and protocols. By redefining incentive structures and leveraging unused internet bandwidth, Grass aims to provide a fair, open, and secure data layer for AI development. With its unique data capture capabilities and growing partnerships, Grass is poised to become a significant player in the AI data market.

Recent Developments

• Data Milestones: On February 15, Grass announced a new all-time high (ATH) in data capture, exceeding 1,000,000 GB in a single day. This is double the amount captured on February 13 and surpasses the data processing capacity of the human brain over 40 years.

• Upcoming Interaction Updates: On March 7, Grass announced that future updates will be shared on Instagram.

Introduction to Grass

Grass is a decentralized network for accessing public data, serving as a source of training data for AI models. Deployed on Solana, it combines AI, DePIN (Decentralized Physical Infrastructure Network), and Solana technology to function as the data layer for AI. Users can share idle internet bandwidth to earn passive income without significant resource investment. Grass prioritizes privacy protection and decentralized governance, ensuring data security and user participation in the project's future.

Core Components

• Validators: Key network components that use zk-SNARK proofs to verify the authenticity of training data, ensuring accuracy and reliability.

• Grass Nodes: The foundational infrastructure of the network, allowing users to share unused internet bandwidth to fetch and transmit data.

• Zero-Knowledge Processor (ZKP): A system composed of validators, provers, and challengers to maintain security and validation through ZK TLS, proof generation, and decentralized databases.

• Grass Data Ledger: Records the history of each collected dataset, including its source, collection method, and transformation process.

Team and Background

Wynd Network, the Canadian company supporting Grass, remains mostly anonymous. Its co-founder, Andrej Radonjic, holds a Master's degree in Mathematics and Statistics from York University and a Bachelor's degree in Engineering Physics from McMaster University. He previously participated in the $1.1 million Pre-Seed round of the AI security platform, rug ai.

Funding Rounds

• Pre-Seed Round: Completed in July 2023, raising $1 million led by No Limit Holdings.

• Seed Round: Completed in December 2023, raising $3.5 million led by Polychain Capital.

• Series A Round: Completed in September 2024, raising an undisclosed amount led by Hack VC, with participation from Delphi Digital, Polychain, Brevan Howard Digital, and Lattice Capital, valuing the company at $1 billion.

Summary and Future Outlook

Despite challenges in maintaining privacy and efficiency as the network expands, Grass offers a decentralized data layer for AI companies and protocols. By redefining incentive structures and leveraging unused internet bandwidth, Grass aims to provide a fair, open, and secure data layer for AI development. With its unique data capture capabilities and growing partnerships, Grass is poised to become a significant player in the AI data market.