VeryAI has raised $10 million in seed funding to address the rising risk of AI-generated identities and deepfake accounts across digital platforms. The funding round was led by Polychain Capital, with participation from Berggruen Institute and Anagram.
The investment coincides with the launch of VeryAI’s first product, a biometric palm scanning identity verification system designed to confirm that users behind online accounts are real humans rather than automated AI bots.
The company’s system uses a smartphone camera to capture palm scans without requiring specialised hardware. These scans are converted into unique mathematical patterns and linked to the blockchain, creating a secure digital identity record that can be verified by crypto exchanges, fintech companies and Web3 platforms.
Built on the Solana network, the platform records identity attestations on-chain while leveraging the blockchain’s fast transaction speeds and low costs. The system also integrates zero-knowledge proofs and the Solana Attestation Service, enabling users to verify their identity without sharing sensitive personal information.
According to VeryAI, its palm biometric verification model delivers a false acceptance rate of roughly 1 in 10 million when verifying a single hand. When both hands are used, the rate drops significantly to approximately 1 in 100 trillion, exceeding the accuracy levels of many traditional facial recognition systems.
“Privacy is a human right, but deepfakes and synthetic content are exposing flaws that today’s systems just can’t handle,” said Zach Meltzer, founder and CEO of VeryAI. “We built VeryAI to close that gap while respecting user privacy.”
Meltzer previously helped scale crypto engagement platform Galxe to more than 6,000 partners and 34 million users, bringing experience in building identity and credential systems for Web3 ecosystems.
VeryAI operates a B2B model that allows digital platforms to integrate palm verification into their authentication workflows. The company charges partners based on monthly user verification volumes.
The startup believes palm biometrics offer stronger security than traditional identity methods such as CAPTCHAs and facial recognition. CAPTCHAs can increasingly be solved by AI systems, while facial recognition faces growing vulnerabilities as user images are widely available online. Palm scans, by contrast, are rarely shared publicly, making them more resistant to duplication or manipulation.
As AI-generated content and automated bots become more sophisticated, the company aims to provide digital platforms with a reliable way to verify human identity while maintaining user privacy and security.
