
VeryAI Secures $10M to Launch Biometric Palm Identity System
Why It Matters
The technology gives crypto and fintech platforms a reliable, privacy‑first way to block AI‑generated bots, protecting user trust and reducing fraud losses. Its low‑cost, real‑time verification could become a new standard for identity assurance in the rapidly evolving Web3 ecosystem.
Key Takeaways
- •$10M seed round led by Polychain Capital.
- •Palm scans use mathematical patterns, no raw images stored.
- •False acceptance rate 1 in 100 trillion with two hands.
- •Built on Solana for fast, low‑cost verification.
Pulse Analysis
AI‑driven fraud is reshaping the risk landscape for crypto exchanges and fintech platforms, rendering traditional defenses such as CAPTCHAs and facial recognition increasingly ineffective. Deepfake bots can bypass visual checks, creating synthetic accounts that manipulate markets and erode user confidence. As regulatory scrutiny tightens and investors demand stronger safeguards, the industry is searching for identity solutions that combine robustness with user privacy.
VeryAI’s approach centers on palm biometrics captured via a standard smartphone camera, then transformed into abstract mathematical patterns. By storing only these cryptographic hashes and employing zero‑knowledge proofs through Solana’s Attestation Service, the system verifies users without exposing raw biometric data. Performance metrics claim a false acceptance rate of one in 100 trillion when both hands are scanned, dwarfing industry benchmarks. Solana’s high‑throughput, low‑fee architecture enables real‑time verification at scale, making the solution practical for platforms processing thousands of transactions per second.
The $10 million seed round signals strong investor confidence and positions VeryAI to influence the broader Web3 identity market. Its subscription model lowers entry barriers, allowing exchanges, DeFi protocols, and social platforms to integrate privacy‑preserving verification without costly hardware. If adoption accelerates, palm‑based authentication could set a new baseline for secure, decentralized identity, prompting competitors to prioritize similar zero‑knowledge, blockchain‑anchored solutions. This shift may ultimately reduce fraud losses, enhance regulatory compliance, and reinforce trust across the digital finance ecosystem.
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