Perceptron Network
Category: AI Infrastructure
Decentralized AI data network that crowdsources training data through a global node network of 800K+ users sharing idle bandwidth Perceptron Network was founded in 2024. The company is led by Peter Anthony. Based in Dubai, United Arab Emirates. Team size: 11-50. Total funding raised: $6.5M. Latest round: Strategic Investment. Key investors include Sigma Capital, Selini Capital, QCP Capital, P2 Ventures, CoinDCX Ventures, Momentum6, DeFi Capital, Walrus Foundation, Aethir, Colosseum, GuruDev Capital, Tempo Finance.
- Founded
- 2024
- Headquarters
- Dubai, United Arab Emirates
- Team size
- 11-50
- Total funding
- $6.5M
Value proposition
Decentralized AI data infrastructure that provides high-quality, real-world training data at ~90% cost reduction compared to centralized providers, while rewarding contributors for their data and expertise
Products and solutions
Perceptron Node Network (browser extension & Android app for sharing idle bandwidth), Data Questing Platform (commissioning structured datasets from community), PERC Token (on-chain reputation & rewards), Perceptron Agents (Discord, Telegram, WeChat bots), AI Data Fund ($10M for developer data access)
Unique value
World's first decentralized AI data mesh turning idle bandwidth into a globally distributed data acquisition layer, enabling AI companies to commission datasets directly from a community of 800K+ nodes across 150+ countries
Target customer
AI startups and enterprises needing affordable, diverse, real-time training data; Web3 projects; quantitative trading firms; e-commerce operators; AI model developers
Industries served
AI/ML Training Data, Decentralized Infrastructure, Web3, Quantitative Finance, E-commerce, AI Model Development
Technology advantage
Decentralized node network providing geographically diverse vantage points on the public web; 90% cost advantage vs centralized data providers; human-in-the-loop verification via peer-reviewed data questing; on-chain reputation system (PERC tokens); merged with BlockMesh (700K-node network) for scale
How they differentiate
Unlike centralized data labeling platforms (e.g., Scale AI) that employ thousands of labelers, Perceptron uses a decentralized node network where users contribute idle bandwidth and domain expertise, achieving global geographic diversity at a fraction of the cost. Contributors own their data and earnings, and the platform enables direct dataset commissioning from the community.
Main competitors
Scale AI (centralized data labeling), Appen, Labelbox, Hive, traditional centralized data annotation platforms
Key partnerships
BlockMesh (merged June 2025, bringing 700K-node network), Aethir (decentralized compute infrastructure partner), Walrus Foundation (decentralized storage), Everlyn AI (text-to-image/video platform customer)
Notable customers
Everlyn AI (text-to-image and text-to-video platform)
Major milestones
June 2025: Merged with BlockMesh (700K-node network), July 2026: Raised $6.5M strategic round, July 2026: Launched $10M AI Data Fund, 2026: Scaled to 800K+ nodes across 150+ countries, 2026: Launched Data Questing Platform v1, 2026: 300K+ daily active users
Growth metrics
810K+ total nodes; 115K daily active nodes; 300K+ daily active users; 150+ countries; 9.6 TB daily network bandwidth; 356K weekly active users; 1.94M historical installs (274% growth since Jun 2024)
Market positioning
Emerging leader in decentralized AI data infrastructure (DeAI), positioned between centralized scraping tools and closed data partnerships, targeting the growing demand for affordable, diverse training data as public data sources become exhausted
Geographic focus
Global (150+ countries), with strong presence in Vietnam, Indonesia, India, Philippines, Nigeria, and growing US/European footprint
About Peter Anthony
Crypto native since 2019; Founder of The House of Crypto (crypto YouTube channel); Background in forex, stocks, and traditional markets trading; University of Southampton alumni
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Official website: https://perceptrons.xyz