Gal Vered is the co-founder and CEO of Checksum.ai, a San Francisco startup that uses AI to automatically generate, run, and self-heal end-to-end software tests in Playwright and Cypress. A former Google product manager, Y Combinator-backed CTO, Kellogg MBA, and Israeli Navy officer, Vered is betting that as AI writes more of the world's code, the scarce and valuable skill becomes verification - proving the software actually works. Checksum sells testing as a result rather than a tool, generating 100-150 tests in a customer's first week and keeping them green as the product changes.
Peter Day is a General Partner at super{set}, San Francisco's AI-native startup studio and venture fund, where he co-builds data and AI companies from day one. A machine learning PhD from the University of Liverpool who spent 12 years in quantitative finance before pivoting to Silicon Valley, Peter served as Chief Product and Technology Officer at Quantcast for nearly seven years, guiding the company's real-time ML platform used by marketers and publishers globally. He brings a rare combination of deep technical credibility — hands-on coding, ML research, financial engineering — and operational leadership at scale to the companies he helps found and grow at super{set}.