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    Crypto Chain Post
    Home » ZK ‘redefines trust,’ Lagrange CEO says after NVIDIA Inception nod
    Blockchain

    ZK ‘redefines trust,’ Lagrange CEO says after NVIDIA Inception nod

    News RoomBy News RoomJune 12, 2025No Comments2 Mins Read

    Lagrange announced it has been selected to join NVIDIA’s Inception Program, marking a signficant milestone as it is the first company combining artificial intelligence and zero‑knowledge proofs to earn a spot among the accelerator’s startups.

    Lagrange, renowned for its zero‑knowledge machine learning platform, DeepProve, has joined NVIDIA’s Inception Program, crypto.news can exclusively report. As a member of Inception, Lagrange gains access to NVIDIA’s suite of resources, ranging from specialized training modules and hardware discounts to cloud credits, developer networks, and industry visibility.

    You might also like: Space and Time launches ZK mainnet to power smart contract data

    Scaling Trust‑worthy AI

    With support from NVIDIA Inception, Lagrange is accelerating development of DeepProve, which enables transparent, verifiable ML execution across sensitive or regulated environments. The framework is designed for high‑security use cases requiring cryptographic proofs of AI output integrity.

    “Some technologies are passing trends. Others are directionally inevitable,” said Ismael Hishon-Rezaizadeh, Co-Founder & CEO of Lagrange. “AI is one. ZK proofs are another. Our collaboration with NVIDIA is coming at a critical time when ZK, much like AI, isn’t just a powerful tool, it’s a use case that redefines trust, privacy, and scale in an increasingly automated world.

    Backed by $17 million in investment and generating over 11 million ZK proofs and 400,000 state proofs, securing $29 billion in restaked Ethereum (ETH), Lagrange brings robust credibility to the intersection of decentralized computing and AI validation.

    You might also like: ‘Privacy shouldn’t be a luxury’: Google adds ZKPs to Wallet for age checks

    Read the full article here

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