Shubham Agrawal

Shubham Agrawal is an AI infrastructure founder and former quantitative researcher building at the intersection of finance-grade optimization and scalable AI systems. A founding team member and first hire at a New York–based hedge fund, he helped scale the firm from three people to ~$400M in AUM, developing high-performance quantitative strategies across global markets. He now brings that systems and optimization expertise to Zeno, an AI inference and infrastructure startup focused on improving model efficiency and delivering plug-and-play AI solutions for enterprises, alongside Air Labs, his research initiative. Currently raising a seed round, Shubham is focused on building foundational AI infra for the next generation of applications while connecting the India–U.S. startup ecosystem

Zeno AI is developing an AI infrastructure and inference platform that improves the performance and cost-efficiency of deploying large language and foundation models at scale, combining low-level optimization with proprietary models to deliver plug-and-play AI capabilities for enterprises. Positioned as a B2B AI infra provider (with optional open access for broader usage), Zeno focuses on smarter compute utilization, faster inference, and production-ready deployment, and is currently at the seed stage working with design partners and raising capital to scale its platform.