VeryAI Raises $10M to Build Palm-Scan Identity System on Solana

Startup VeryAI has raised $10 million in a seed funding round led by Polychain Capital to launch a palm-scan identity verification system designed to distinguish real users from AI-generated accounts.

The platform records identity attestations on Solana and aims to help crypto exchanges, fintech companies and online platforms address growing risks from bots, deepfakes and synthetic identities. The company said zero-knowledge proofs allow users to verify their status across platforms without revealing personal information.

The system captures palm images using a smartphone camera and converts them into encrypted biometric signatures used to confirm that a user is human without storing identifiable data.

According to the company, palm biometrics are highly distinctive and less publicly exposed than facial features commonly used in identity checks. The scans are converted into irreversible feature representations rather than stored images, preventing the original biometric data from being reconstructed.

“We’re entering a period where the internet can no longer assume that every account, message, or video is created by a real person,” Zach Meltzer, founder and CEO of VeryAI, told Cointelegraph. “AI is powerful, but it also breaks many of the trust assumptions that the internet was built on.”

He said crypto platforms are vulnerable to these risks, citing examples such as sybil attacks during onboarding, fake accounts farming token incentives and impersonation scams targeting users and project communities.

The company is already working with organizations including MEXC, Colosseum, Clique and Talus, with other centralized exchanges and wallets preparing to integrate the palm verification system, Meltzer said.

Investors in the round included the Berggruen Institute and Anagram. Anatoly Yakovenko, co-founder of the Solana blockchain, also joined as an angel investor.

Related: Crypto ATM losses surge 33% in 2025 as AI superpowers scams: CertiK

AI-generated identities push demand for proof-of-human systems

As artificial intelligence continues to blur the line between human and automated activity on the internet, some developers say blockchain-based identity systems could help restore trust in digital interactions.

Chris Dixon, a general partner at Andreessen Horowitz and founder of the venture capital firm’s a16z crypto investment arm, last year warned that an “ocean of AI-powered deepfakes and bots” could erode trust across the internet and suggested blockchain systems could help address the problem through cryptographic verification of identity and digital content.

One company trying to address the problem is World, co-founded by Sam Altman, which uses biometric iris scans to generate a digital identity that allows users to prove they are human without revealing personal data. The system records proof of a user’s uniqueness on a blockchain network while the Orb device scans a person’s face and iris to verify identity, though the biometric approach has drawn criticism from privacy advocates.

As AI advances, interest in these systems appears to be growing. In January, the token linked to World (WLD) jumped about 40% after reports that OpenAI was exploring a bot-free social media platform that would require users to verify they are human before participating.

Some developers argue that identity verification must balance authentication with privacy protections. Ethereum co-founder Vitalik Buterin has advocated for models that allow users to prove specific attributes, such as uniqueness or eligibility, without revealing their full identity using technologies like zero-knowledge proofs.

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