Perceptron Raises $6.5 Million to Accelerate Construction of Decentralized AI Data Infrastructure

Comparing news, decentralized AI data network Perceptron announced the completion of a $6.5 million strategic financing. Participants include a number of Web3 investment institutions, trading firms, ecosystem partners and infrastructure companies, including Sigma Capital, Selini Capital, QCP Capital, P2 Ventures, CoinDCX Ventures, Momentum6, DeFi Capital, Walrus Foundation, Aethir, Colosseum, GuruDev Capital, Tempo Finance, NewTribe Capital, Digital Consensus Fund, and CodeCraft Capital. The funding round will be used to launch Perceptron's data task platform, expand contributor tools and reward infrastructure, and drive the network's expansion towards the target of 5 million nodes.

Perceptron aims to make real-world data acquisition fast and convenient enough so that AI companies no longer need to rely on centralized data capture infrastructure. The network consolidates global data collection into a unified network of idle bandwidth, unique data sets, and domain expertise. Through this unified form, both individual contributors and AI companies can generate complete and validated data sets, reducing the time from requesting the data to delivering the data set to a few days.

Perceptron is in between two models: one end is a centralized data scraping tool with limited capabilities, and the other end is a closed data collaboration that is difficult for most AI startups to qualify for. Perceptron provides data that AI companies and ordinary contributors can directly use. Through Perceptron, contributors own their own data and revenue, which can be monetized or extracted at any time without relying on a third party. Perceptron is geared towards continuous contribution and continuous iteration rather than one-time data capture.

Perceptron will focus on launching a data mission platform in the near future, and it is expected that more announcements will be made in the next quarter. Over the long term, Perceptron is moving towards a fully integrated network of 5 million nodes, so that everything AI companies need is centralized on the same platform to achieve a seamless connection between demand and supply.