Poseidon, backed by Andreessen Horowitz, introduces an innovative platform for data collection and structuring needed for AI training.
How Poseidon Plans to Solve AI's Data Drought
Poseidon, a decentralized data layer, has announced a $15 million funding round. The platform aims to provide structured data required by AI systems that currently face shortages. The company's founders, AI researcher Sandeep Chinchali and engineer Sarick Shah, express their intention to become the connective tissue between data providers and developers in the AI technology sector.
Structure and Principles of the Platform
Poseidon is based on four core principles. The first is a 'demand-first' model, where the platform identifies what data developers need and incentivizes its collection. The second principle is decentralized scaling, ensuring global data diversity. The third principle is structured validation, ensuring the cleanliness and standardization of data. The fourth is IP management, where each dataset receives legal clarity through Story Protocol's blockchain.
The Future of Poseidon in the Data Market
Poseidon states that its architecture functions as a full-stack solution for AI's data constraints. The company's tools range from mobile integrations to specialized hardware solutions. Specifically, IP management will involve minting each dataset as a composable asset on Story's blockchain, ensuring copyright protection and fair royalty distribution.
With its new approach to data collection and structuring, Poseidon aims to change the paradigm in AI training, providing transparency and access to necessary information.
