VeryAI, led by Polychain, raised $10 million to build palm print biometrics and ID cryptographic infrastructure that will help exchanges, airdrops, and DAOs filter bots, deepfakes, and Sybil attacks at scale.
Conclusion
- Polychain led a $10 million round with the Berggruen Institute, Anagram and Solana co-founder Anatoly Yakovenko, demonstrating strong support for crypto-modernism and politics.
- VeryAI positions itself as an “identity verification infrastructure” using palm print biometrics and cryptographic ID so that apps can impersonate real users without storing raw biometric data.
- The stack targets exchanges, airdrops, social apps and chain management, aiming to strengthen Sybil-resistant voting, fair drops and anti-fraud controls in DeFi and NFT markets.
Identity verification startup VeryAI has raised $10 million to build palm print biometrics and cryptographic ID tools to filter out bots, deepfakes and synthetic identities at scale on the internet, according to an official announcement.
Polychain leads $10M round into biometric, crypto-ID stack
VeryAI said the $10 million funding round was led by Polychain Capital with participation from Berggruen Institute, Anagram and Solana co-founder Anatoly Yakovenko among other angel backers. The headline shows clear alignment with both top-tier VCs and ecosystem builders already struggling with spam, Sybil attacks, and AI-generated identity fraud on Web3 and social platforms.
The company describes itself as an “identity verification infrastructure,” positioning its stack as a core layer that apps, protocols, and platforms can connect to instead of a consumer’s KYC widget. This framework puts VeryAI squarely in the emerging “proof of humanity” arms race, where on-chain identity, virtual gateways, and compliance increasingly collide with the ideals of privacy and decentralization.
Palm biometrics plus privacy-first verification
VeryAI is developing the first privacy verification system built around palm print biometrics combined with identity cryptographic technology, rather than traditional document uploads or face scans. The goal is to allow services to distinguish real people from bots, directories and synthetic identities without exposing raw biometric data, suggesting the use of methods such as zero-knowledge proofs or secure enclaves to keep the original signals secret.
The project clearly aims to expand the scale of the Internet: sharing, airdrops, social platforms and chain management, all of which need a reliable “one-person-one-account” startup in a world flooded by AI agents. For crypto, this type of infrastructure is directly linked to Sybil-proof voting, fair token distribution, and anti-fraud controls in DeFi and NFT markets, while giving regulators and institutions a story that goes beyond heavy-handed KYC.
