Perceptron, a decentralized AI data network, announced on July 31 that it has completed a $6.5 million strategic financing round.
Participants in the round include a group of Web3 investment firms, trading companies, ecosystem partners and infrastructure companies: 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.
Funding will go to platform launch and network expansion
Perceptron said the proceeds will be used to launch its data task platform, expand contributor tools and reward infrastructure, and push the network toward a target of 5 million nodes.
Project aims to speed up access to real-world data for AI companies
The company said it wants to make access to real-world data fast and easy enough that AI companies no longer need to rely on centralized data scraping infrastructure. Perceptron describes its network as a unified layer for global data collection built from idle bandwidth, unique datasets and specialized domain knowledge.
In that model, individual contributors and AI companies can generate complete and verified datasets, reducing the time from submitting a data request to receiving a delivered dataset to a matter of days.
Positioned between two existing models
Perceptron said it sits between two ends of the market: centralized data scraping tools with limited capabilities on one side, and closed data partnerships that are difficult for most AI startups to access on the other.
The network is designed to provide directly usable data to both AI companies and everyday contributors. Through Perceptron, contributors retain ownership of their data and earnings and can monetize or withdraw them at any time without depending on a third party.
The project also said it is built around continuous contribution and ongoing iteration rather than one-off data scraping.
Near-term focus is the data task platform
Perceptron said its immediate priority is the rollout of the data task platform, with additional announcements expected next quarter. Over the longer term, it said the network is developing toward a fully integrated platform with 5 million nodes, with the aim of bringing what AI companies need onto a single platform that connects demand and supply.