Lagrange Joins NVIDIA Inception Program, Blending AI and Zero-Knowledge Proofs to ‘Redefine Trust’
Lagrange, a rising name in decentralized AI infrastructure, has been selected to join NVIDIA’s prestigious Inception Program—making it the first startup to earn that recognition by uniting artificial intelligence with zero-knowledge (ZK) proofs.
The move marks a major milestone for the company, which is known for its zero-knowledge machine learning platform, DeepProve. The platform is designed to deliver cryptographically verifiable AI execution, making it especially valuable in sensitive or regulated environments where data integrity and transparency are non-negotiable.
As part of NVIDIA Inception, Lagrange gains access to a suite of powerful resources—including advanced training programs, cloud credits, hardware discounts, developer tools, and increased industry exposure. For Lagrange, the partnership provides critical momentum as it scales DeepProve to meet the growing demand for secure, transparent AI systems.
“Some technologies are passing trends. Others are directionally inevitable,” said Ismael Hishon-Rezaizadeh, Lagrange’s co-founder and CEO. “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.”
Zero-knowledge proofs, long regarded as a cornerstone of privacy-preserving cryptography, allow one party to verify information without revealing the underlying data. When combined with machine learning, they enable a new class of provable AI models—especially relevant in sectors like finance, healthcare, and public infrastructure where data security and auditability are paramount.
Lagrange’s track record underscores its credibility. Backed by $17 million in funding, the company has generated over 11 million zero-knowledge proofs and 400,000 state proofs, helping secure $29 billion in restaked Ethereum (ETH). These figures position Lagrange as a key innovator at the intersection of blockchain security and AI accountability.