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Perceptron raises $6.5M to expand AI training data

Perceptron raises $6.5M to expand AI training data

CryptopolitanCryptopolitan2026/07/30 18:09
By:Cryptopolitan

Perceptron announced a successful funding round of $6.5M from leading Web3 investors. The funding will go toward building AI infrastructure and sourcing AI training data from a Web3 community. 

Perceptron closed a strategic funding round, gathering some of the leading Web3 investors and ecosystem partners. The backers for the latest funding include Sigma Capital, Selini Capital, and other trading firms and Web3 investors. 

“Our mission is to create the world’s first decentralized AI data mesh where user interactions directly fuel AI growth. We’ve already shown that mission can become a reality, as evidenced by our ability to scale to hundreds of thousands of nodes organically. Now, with this funding, we are launching our data-questing platform, which will allow AI companies to commission specific, high-value datasets directly from our community,” said Peter Anthony, co-founder and CEO of Perceptron.

The latest funding is the biggest and widest for Perceptron. The startup was incubated in the Colloseum ecosystem. In June 2025, Blockmesh merged with Perceptron Network to create the current project. 

Perceptron has already worked on its decentralized data network, creating a resource for AI training. 

Perceptron to launch data-questing platform

The strategic funding round will support the launch of Perceptron’s data-questing platform, expand tools for contributors and build an incentive and rewards program. The goal for Perceptron is to scale its decentralized network to 5 million nodes. 

Perceptron’s goal is to make the sourcing of real-world data fast and accessible, creating a resource for AI companies. Currently, AI trading relies on centralized scraping infrastructure. 

On the Perceptron ecosystem, both individuals and AI companies can generate complete, verified datasets, and even order new datasets to be delivered within days.

The decentralized data infrastructure sits between centralized scraping tools, and closed data partnerships. With Perceptron, contributors own their data and share in the earnings, so they can monetize their contribution. 

Perceptron offers a new use case for decentralized Web3 networks, but takes the tools a step further. Instead of only organic data, Perceptron enables AI companies to commission data from the community. This means no incentive to merely spam data, but tools to produce valuable, tailored datasets.

“Perceptron has demonstrated an impressive ability to mobilize a decentralized workforce and build a globally distributed network. Their model allows them to tap into niche expertise – from doctors and lawyers to native speakers – on demand, from anywhere in the world,” said Nathan Gurr, Investment Analyst of P2 Ventures.

Early transaction activity is already showing demand for the network. In the first phase of data-questing, live data agents reached mode than 200,000 users from Telegram and Discord communities. The platform reports 300K daily active users, and 807,000 active nodes. The figures show an active audience that may want to monetize its data, but previously lacked convenient infrastructure. 

Perceptron prepares for airdrop

Perceptron Network is currently in the pre-airdrop stage, which incentivizes on-chain usage. 

The Perceptron team warned that the widely circulated NFT screenshot is a social media fake. The network users could indeed acquire NFT before the Perceptron Network rebrand, a legacy of the Blockmesh project. 

Instead, point allocations will be based on contributions and general data activity. The airdrop will depend on points earned, Internet contribution, network participation, and other activities.

As with other potential airdrops, scams and fake links may appear as the TGE date approaches. 

PERC tokens will be airdropped to high-trust network members, to reflect real contributions.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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