VeryAI Raises $10M for Palm Identity Verification

VeryAI Secures $10 Million in Seed Funding to Revolutionise Palm-Based Identity Verification

The digital world is in the middle of a full-blown identity crisis — and not in the philosophical sense. Bots are running rampant across platforms, synthetic faces are fooling security systems, and AI-generated accounts are undermining the basic trust infrastructure of the internet. In the middle of this growing storm, a startup called VeryAI has stepped forward with a bold and privacy-first answer: use your palm. The company has announced that it has successfully closed a $10 million seed funding round, an event that has already generated significant buzz across the AI funding news landscape. The round was led by Polychain Capital, a heavyweight in the blockchain and Web3 investment space, with further participation from the Berggruen Institute and early-stage investor Anagram. The capital will be deployed to scale VeryAI's novel palm biometric identity verification platform — one that promises to outperform every existing digital identity solution available today.

This funding milestone marks one of the more compelling AI funding stories of early 2026. It signals investor confidence not just in biometric technology itself, but specifically in the intersection of artificial intelligence, blockchain infrastructure, and privacy-preserving authentication. At a time when questions about who — or what — is sitting on the other side of an online interaction are becoming increasingly urgent, VeryAI's timing could not have been more relevant. The AI World Organisation, which closely monitors breakthroughs shaping the future of artificial intelligence and digital trust, sees this development as a meaningful inflection point in the broader conversation around responsible AI deployment and secure digital ecosystems.

The Identity Crisis That Gave Birth to VeryAI

To understand why this AI funding news matters, it is important to first understand the scale of the problem VeryAI was built to solve. Across every major digital platform — social networks, crypto exchanges, fintech applications, Web3 protocols, and e-commerce sites — there is a growing and largely invisible army of AI-generated personas. These are not just simple bots running a script; today's synthetic identities are powered by large language models and generative AI tools that can produce convincing profiles, generate authentic-looking activity patterns, and pass through most conventional identity verification checkpoints with alarming ease.

Traditional solutions, like CAPTCHAs, were designed to distinguish humans from machines during a time when machines were relatively primitive. That era is over. Modern AI systems can solve the vast majority of CAPTCHA challenges instantly, rendering the technology largely ineffective as a trust barrier. Facial recognition was supposed to be the next frontier, but it, too, has become increasingly vulnerable. With billions of human faces now publicly available across social media platforms, e-commerce sites, and image databases, attackers can generate deepfake facial images that closely mimic real individuals, or even entirely fabricate new faces that pass facial liveness tests. The trust infrastructure of the internet, in short, is crumbling under the weight of AI-generated deception.

What makes this situation particularly difficult to manage is that the very tools driving AI innovation — generative models, neural networks, diffusion models — are also the tools being weaponised to breach identity systems. This creates a fundamental paradox: the more powerful AI becomes, the harder it gets to prove you are human online. VeryAI was founded with the express purpose of resolving that paradox, and the $10 million in AI funding it has secured is the first major step in bringing that resolution to scale.

A Smarter Authentication Approach: How Palm Biometrics Work

At the core of VeryAI's platform lies a deceptively elegant idea: the palm of your hand is one of the most unique and publicly unavailable biometric identifiers in existence. Unlike your face, which you share openly in photos, videos, and video calls, your palm's vein structure, skin texture, ridge geometry, and crease patterns are almost never shared or captured on public platforms. This makes palm biometrics an extraordinarily difficult target for AI-based spoofing, impersonation, or deepfake reproduction.

VeryAI's system captures palm biometric data using a standard smartphone camera — no dedicated hardware, no infrared scanner, no expensive enterprise-grade device required. The user simply holds their palm up to the phone's camera, and the platform's AI models extract a dense mathematical representation of the unique physical features present. This representation is never stored as a raw image; it is transformed into a cryptographic pattern — essentially a mathematical fingerprint — that can be verified without ever reversing back to the original biometric data. This approach ensures that even in the event of a data breach, no actual biometric image is exposed.

The accuracy benchmarks that VeryAI has published for its system are nothing short of remarkable. When verifying identity using a single hand, the platform's false acceptance rate — the probability of incorrectly accepting an impostor — is approximately 1 in 10 million. When both hands are used, that rate plummets to approximately 1 in 100 trillion, a level of precision that surpasses virtually every facial recognition system currently in commercial deployment. These numbers reflect the mathematical richness of the palm as a biometric surface and the sophistication of VeryAI's underlying AI models in extracting and comparing that data.

For platforms integrating VeryAI's verification service, the user experience is designed to be frictionless. The entire scan-and-verify process takes seconds and runs directly through a mobile interface that most users are already comfortable operating. There are no app downloads, no physical tokens, no government document uploads, and no lengthy onboarding forms. The simplicity of the experience, combined with the extraordinary precision of the verification, is a combination that the AI funding community has clearly taken notice of.

Blockchain Infrastructure: Privacy, Trust, and the Solana Advantage

What truly distinguishes VeryAI from other biometric identity startups is the architectural layer sitting beneath the palm scanning technology. Rather than relying on a centralised database to store and manage identity records, VeryAI has built its platform on the Solana blockchain, one of the fastest and most cost-efficient Layer-1 networks in the Web3 ecosystem. This is a foundational design choice that carries enormous implications for how identity verification is conducted, stored, and shared.

When a user completes a palm scan and their identity is verified, the result is recorded as an attestation on the Solana blockchain. This attestation confirms that a real human being passed the verification process, without encoding any personal information — no name, no address, no government ID number. The blockchain entry serves purely as a proof-of-humanity credential that downstream platforms can query and trust. Because it is stored on a decentralised network, no single company — not even VeryAI itself — controls the record. It is immutable, auditable, and resistant to tampering.

This architecture is made possible in part through the integration of zero-knowledge proofs (ZKPs), a cryptographic technique that allows one party to prove to another that a statement is true without revealing any of the underlying information used to reach that conclusion. In the context of VeryAI, a user can prove to a platform that they are a verified human being without revealing anything about who they are, where they are located, or what their biometric data looks like. This is identity verification with no compromise on privacy — a genuinely rare combination in an industry where data collection and personal information disclosure are the norm.

The platform also leverages the Solana Attestation Service, a native infrastructure tool that makes it easy to issue, verify, and revoke on-chain credentials. This service allows VeryAI's partners — crypto exchanges, fintech firms, Web3 protocols, and digital platforms — to seamlessly query identity attestations as part of their existing authentication flows without needing to build custom integrations from scratch. For the AI funding ecosystem watching this space, the ability to deploy enterprise-grade identity infrastructure on a fast, low-cost blockchain without sacrificing privacy is a powerful value proposition, particularly as regulatory scrutiny around user data handling continues to intensify globally.

Why This AI Funding News Matters for Web3 and Fintech

The significance of VeryAI's $10 million seed round extends well beyond a single company's growth trajectory. It reflects a broader recognition within the AI funding community that the identity verification market is ripe for fundamental disruption — and that blockchain-native, privacy-preserving approaches are finally mature enough to compete with legacy solutions at scale.

Crypto exchanges, in particular, have long struggled with the dual challenge of complying with Know Your Customer (KYC) regulations while simultaneously protecting user privacy. Most existing KYC solutions require users to submit government-issued ID documents, selfies, and address proofs, creating large centralised databases that are attractive targets for hackers and raise legitimate concerns about data misuse. VeryAI's approach flips this model entirely. Instead of collecting sensitive personal data, platforms can simply verify that a user is a real, unique human being and record that attestation on-chain. This satisfies the spirit of identity integrity requirements without creating a surveillance architecture around the user.

Fintech companies operating in emerging markets stand to benefit enormously from this kind of solution. In regions where formal government identification documents are inconsistently issued, where smartphone penetration has outpaced physical infrastructure, and where financial inclusion remains a critical development goal, a palm-based identity system that requires nothing more than a mobile phone camera represents a genuinely accessible and equitable alternative. VeryAI's B2B model — which charges partner platforms based on monthly verification volumes — makes the cost of adoption flexible and scalable, allowing smaller organisations to integrate the technology without committing to large upfront expenditures.

The leadership team behind VeryAI brings relevant experience to this challenge. Zach Meltzer, the company's founder and chief executive, previously played a central role in scaling a prominent Web3 engagement and credential platform to more than 6,000 partner organisations and over 34 million users globally. That background in building identity and credential infrastructure for decentralised ecosystems directly informs VeryAI's product philosophy and go-to-market strategy. Having navigated the complexities of large-scale user verification in the Web3 world before, Meltzer brings a practitioner's understanding of where existing solutions fall short and what enterprise partners actually need from an identity layer.

"Privacy is a human right, but deepfakes and synthetic content are exposing flaws that today's systems just can't handle," Meltzer has said. "We built VeryAI to close that gap while respecting user privacy." That framing — privacy as a design principle rather than an afterthought — resonates deeply in a market where trust in data stewardship is at an all-time low.

The Bigger Picture: AI, Identity, and the Future of Human Verification

The launch of VeryAI and the AI funding that has powered it arrives at a moment when the relationship between artificial intelligence and human identity is being renegotiated at every level of the digital economy. Generative AI has made it trivially easy to create synthetic humans — faces, voices, writing styles, behavioral patterns — that are indistinguishable from the real thing to most automated systems. As this technology becomes cheaper and more accessible, the volume of AI-generated personas flooding digital platforms will only increase. Without robust proof-of-humanity infrastructure, the foundations of online trust — user reviews, social validation, financial transactions, democratic participation — become impossible to verify.

The AI World Organisation has consistently highlighted this challenge in its dialogues with global AI leaders, policymakers, and enterprise innovators. As AI capabilities continue to advance at an extraordinary pace, the institutions, platforms, and protocols that mediate human interaction online must evolve with equal urgency. VeryAI's approach — grounding identity verification in a biometric that is simultaneously highly unique, extremely difficult to fake, and already in every person's possession — is precisely the kind of human-centred, privacy-respecting innovation that the AI community needs to champion.

Polychain Capital's decision to lead this round speaks volumes about where smart money in the AI and Web3 space is flowing. Having backed some of the most consequential infrastructure projects in decentralised technology, Polychain's participation signals strong conviction that palm biometric identity verification is not a niche application but a critical component of the next generation of internet infrastructure. With the Berggruen Institute and Anagram adding further credibility and strategic support, VeryAI is well-positioned to accelerate product development, deepen its enterprise partnerships, and expand the geographic reach of its platform.

As the AI funding news cycle for 2026 continues to unfold, VeryAI's seed round will likely be remembered as one of the early defining investments in the proof-of-humanity space a category that, as AI-generated content becomes ubiquitous, may well become the most important segment of the entire identity technology market. For organisations, platforms, and communities trying to build trustworthy digital environments in an age of synthetic intelligence, the question is no longer whether human verification infrastructure is needed. The question is how quickly it can be deployed and VeryAI is betting that the answer lies in the palm of your hand.