Polychain Capital Leads $10M Seed for VeryAI’s Human-Centric Internet Vision

Proof of reality platform, VeryAI, said it has raised $10 million in seed funding led by Polychain Capital to scale its infrastructure.

VeryAI, a “proof of reality” platform, announced March 12 that it has raised $10 million in seed funding. The round was led by Polychain Capital, with participation from the Berggruen Institute and Anagram. With this fresh capital, VeryAI plans to scale its proof of reality infrastructure and develop further tools to ensure the future of the internet remains human-centric.

The capital injection coincides with the debut of VeryAI’s biometric verification system, which turns a standard smartphone camera into a high-precision palm scanner. Unlike legacy systems that require specialized hardware, VeryAI’s software-only approach aims to provide a frictionless, “human-only” layer for the internet.

“Privacy is a human right. But deepfakes and synthetic content present weaknesses that current systems simply can’t keep up with,” said Zach Meltzer, founder and CEO of VeryAI. “We are replacing outdated methods with solutions that are accurate, private and frictionless.”

Meltzer, who previously scaled the identity platform Galxe to 34 million users, is joined by Chief Science Officer Hua Yang, a leading researcher in palm biometrics with more than 50 patents.

VeryAI’s technology relies on the unique, rarely exposed patterns of the human palm. As per a media release, a single hand scan provides a false acceptance rate of 1 in 10 million, which is 10 times more accurate than most facial recognition systems. When a user scans both hands, the false acceptance rate drops to approximately 1 in 100 trillion.

Crucially, the system does not store actual images of palms. Instead, it generates irreversible feature representations that cannot be reconstructed into an image, ensuring user data remains private even in the event of a security breach.

To stay ahead of the AI arms race, VeryAI is also partnering with Northwestern University. Under the guidance of advisor Matthew Groh, the company is launching a research collaboration to study human resilience to deepfakes and improve the detection of synthetic media.