
Cryplex AI offers a decentralized storage platform that transforms unused computer storage into resources for AI training. The system operates by distributing storage across a network of nodes, ensuring that data is secure and accessible. This innovative approach allows businesses to monetize their idle storage while contributing to the growing demand for AI resources. By leveraging decentralized technology, Cryplex AI enhances data management and storage efficiency, making it a valuable solution for companies looking to optimize their assets. The platform supports various applications in the AI field, promoting collaboration and resource sharing among users.

Cryplex AI offers a decentralized storage platform that transforms unused computer storage into resources for AI training. The system operates by distributing storage across a network of nodes, ensuring that data is secure and accessible. This innovative approach allows businesses to monetize their idle storage while contributing to the growing demand for AI resources. By leveraging decentralized technology, Cryplex AI enhances data management and storage efficiency, making it a valuable solution for companies looking to optimize their assets. The platform supports various applications in the AI field, promoting collaboration and resource sharing among users.
What they do: Decentralized storage platform that converts unused disk space into a pooled, encrypted network for AI training
Product delivery: Browser extension and node software; contributors earn Cryplex Points and CPX token airdrops
Security: Uses AES-256 encryption and zero-knowledge proofs; data/transactions logged on blockchain
Funding: Seed round announced Mar 15, 2025; investors include HuntX Labs (lead) and TTB Labs
Headquarters: New York
Decentralized storage for AI training/data management
Infrastructure / Storage / AI
Round announced Mar 15, 2025; investors include HuntX Labs (lead) and TTB Labs. Publicly reported total funding amount listed as 23000000.00 USD.
“HuntX Labs led the Seed round; TTB Labs also participated”