confidential-computing
(5)
MonetaGo
MonetaGo builds digital public infrastructure for trade and finance, best known for its Secure Financing system that detects duplicate financing fraud without exposing sensitive data. By turning trade documents into cryptographic digital fingerprints and checking them against a global registry inside a confidential computing environment, MonetaGo lets banks, TReDS exchanges and central banks verify that an invoice or bill of lading has not already been financed elsewhere - preserving privacy while closing a major gap in trade finance risk.
Evervault
Evervault is a developer-first encryption platform that lets companies collect, store, process and forward highly sensitive data - especially payment card data - without ever handling it in plaintext. Founded in 2019 by Irish entrepreneur Shane Curran, the New York and Dublin based company pairs a dual-custody encryption model with products for card payments, secure enclaves and network proxying. It processes over $5 billion in transaction volume and generates more than 100 million encrypted tokens per month for customers including Ramp, Rippling and CarTrawler.
OpenGradient
OpenGradient is a New York-based decentralized infrastructure company building the compute layer for verifiable AI. Its network hosts, executes, and verifies machine-learning models on-chain, attaching cryptographic proofs to every inference so applications, agents, and blockchains can confirm exactly which model ran, on what input, and what it returned. The stack pairs an EVM-compatible chain with a heterogeneous GPU/TEE compute architecture, a decentralized Model Hub of 2,000+ models, and developer SDKs, positioning it as an open, auditable alternative to closed cloud AI endpoints.
Matthew Wang
Matthew Wang is the founder and CEO of OpenGradient, a New York company building a decentralized compute layer for verifiable and confidential AI. A former Two Sigma research engineer who cut his teeth on equity-options market-making infrastructure, he left quant finance in 2024 to chase a simpler question: can you prove that the AI answering you is the AI you think it is? OpenGradient runs models on-chain with cryptographic proofs and hardware enclaves, and has raised $9.5M led by a16z crypto, with backing from Coinbase Ventures, SV Angel, and angels including Balaji Srinivasan, Illia Polosukhin, and Sandeep Nailwal.
Ambuj Kumar
Ambuj Kumar is the co-founder and CEO of Simbian, an AI-native security company building autonomous AI agents that run security operations 10x faster than human teams. A Gold Medalist from IIT Kanpur and Stanford EE graduate, he spent eight years designing NVIDIA's early GPUs before pivoting to security - where he invented Confidential Computing, raised $135M for Fortanix, and is now betting that AI agents can solve the industry's 3.5-million-person talent gap. With 100+ patents and recognition from IIT Kanpur's Distinguished Alumni Award 2025, Kumar stands at the intersection of the GPU revolution he helped build and the AI security era he is now shaping.