Yash Patil

Founder and CEO of Applied Compute, an AI startup. He previously worked at OpenAI as a member of technical staff, including post-training infrastructure work, and studied computer science at Stanford University.

Enterprise AI Advantage Comes From Internal Evals and Proprietary Context

Yash Patil, chief executive of Applied Compute and a guest speaker in Stanford’s MS&E435 seminar, argues that the enterprise opportunity in AI is shifting from access to general frontier models toward the ability to define and optimize company-specific tasks. General models provide a baseline, he says, but durable advantage comes from internal evals, verifiers, feedback loops, proprietary context and product constraints that teach systems what “correct” means inside a business.

Stanford OnlineMay 22, 202618 min read