Perceptron Secures $6.5M to Expand Decentralized AI Data Network
AI-summarised brief · reviewed before publication
Perceptron, a decentralized AI data network, announced a $6.5 million strategic funding round backed by crypto‑focused investors including Sigma Capital, Selini Capital, QCP Capital, P2 Ventures and CoinDCX Ventures. The capital will fund the launch of a new AI data‑collection platform that sources and validates training data through a global pool of contributors, upgrades contributor tools and reward mechanisms, and expands the network’s node infrastructure to 5 million nodes. By decentralizing data acquisition, Perceptron aims to lessen reliance on centralized providers and improve data diversity and quality. The round did not disclose a valuation, emphasizing long‑term partnership building over immediate growth metrics. The move positions Perceptron to compete in the emerging intersection of blockchain and AI, targeting enterprise clients that need reliable, verifiable training data.
💡 Why It Matters
- · A scalable, decentralized data supply could break the current bottleneck in AI model training, giving enterprises a more diverse and trustworthy alternative to traditional data marketplaces.