Why Zero Knowledge Proof (ZKP) is Outpacing XRP, Hyperliquid, and Ethereum in the Next Crypto Cycle

The next crypto cycle is not about hype-it's about utility. As the market matures, investors are increasingly prioritizing projects that deliver tangible infrastructure, enterprise-grade applications, and verifiable value over speculative narratives. Zero Knowledge Proof (ZKP) is emerging as a clear leader in this paradigm shift, outpacing XRP, Hyperliquid, and Ethereum by combining a $100M infrastructure build with privacy-first AI use cases that address real-world pain points in healthcare, finance, and beyond.

ZKP's $100M Infrastructure: A Privacy-First Foundation for Enterprise AI

Zero Knowledge Proof has secured $100 million in funding to develop a blockchain infrastructure designed from the ground up for privacy-preserving computation. This contrasts sharply with Ethereum's retrofitting approach, where the "Privacy Stewards" initiative struggles to add privacy features to a network originally built for transparency. ZKP's proactive strategy includes $17 million already invested in hardware, including "Proof Pod" devices capable of validating private AI computations at scale. These devices are not just theoretical-they are operational, ready to deploy as soon as the project's presale launches.

The project's 24-hour on-chain auction model for its presale further underscores its commitment to fairness and institutional-grade transparency. By enabling daily auctions for 200 million ZKP coins using ETH, USDC, BNB, or 21 other currencies, ZKP is setting a new standard for equitable token distribution. This operational readiness-combined with a focus on infrastructure rather than speculative tokenomics-positions ZKP as a long-term contender in the crypto space.

Enterprise AI Use Cases: Privacy as a Competitive Advantage

While many projects tout AI adoption, ZKP's use cases are uniquely tied to zero-knowledge cryptography, enabling secure, privacy-preserving AI workflows. In healthcare, ZKP supports secure multiparty computation (SMPC), allowing hospitals and research institutions to collaborate on AI-driven diagnostics without exposing patient data. Similarly, in finance, ZKP's technology facilitates confidential transactions and identity verification, ensuring compliance with regulations like GDPR and HIPAA while enabling AI models to process sensitive datasets.

For example, Zero-Knowledge Machine Learning (ZKML) allows enterprises to train AI models on encrypted data, verifying results without revealing underlying information. This is critical for industries where data privacy is non-negotiable. ZKP's ability to integrate with AI agents-such as those used in IT automation and deep research-further aligns with McKinsey's 2025 findings that high-performing organizations prioritize privacy and scalability in AI deployment.

Contrasting with XRP, Ethereum, and Hyperliquid

XRP's ETF race, while generating short-term buzz, lacks the infrastructure depth of ZKP. Major firms like Grayscale and Franklin Templeton are fast-tracking XRP ETF filings, but these products are speculative tools for capitalizing on market sentiment rather than building foundational technology. Meanwhile, Ethereum's privacy limitations remain a critical barrier to enterprise adoption. As one source notes, Ethereum cannot address privacy gaps in sensitive sectors like healthcare, where ZKP's verifiable computation model is already being tested.

Hyperliquid, on the other hand, faces volatility driven by whale activity, including a recent $19 million USDC deposit and leveraged long positions. While such movements can create short-term gains, they also introduce instability. ZKP's focus on infrastructure and enterprise use cases, by contrast, is designed to weather market cycles and deliver sustained value.

The Long-Term Investment Thesis

ZKP's verifiable, privacy-first model offers a superior long-term investment thesis. Unlike XRP's ETF-driven narrative or Hyperliquid's whale-dependent volatility, ZKP's $100M infrastructure and enterprise AI use cases are built to scale. As AI adoption accelerates in regulated industries, the demand for privacy-preserving solutions will only grow. ZKP's operational readiness-evidenced by its Proof Pod hardware and on-chain auction model-ensures it is not just a theoretical project but a deployable solution for tomorrow's enterprises.

In the next crypto cycle, the winners will be those who bridge the gap between innovation and utility. ZKP is already there.