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Our team spent years teaching AI to some of the most capable professionals in the world, at Stanford, at Fortune 500 companies, across executive workshops and courses. The pattern was always the same: organizations would invest heavily in AI tools, run training programs, and then watch adoption stall within weeks. Adoptions fragmented, employees workflows don't change, and leadership had no way to know what was working from all their AI investment.
Modo exists because training alone doesn't change how people work. What changes behavior is meeting employees inside their actual workflows, showing them which AI tool to use right now, making that tool work better for their specific task, and giving leadership real data on what's driving results. That's what we build.
Winner of Stanford University Learning Design Award 2025
Winner of HumanX x Mayfield Startup Pitch Competition 2026
Our AI Expert Team
Johnny Chang
Co-Founder
Johnny previously taught Stanford University’s flagship graduate AI courses led by Stanford pioneers like Prof. Andrew Ng (founder of Coursera, Google Brain), Prof. Chris Manning (foundational work in AI), and other world-renowned AI leaders. He led cutting-edge research at Stanford on AI agents focused on reasoning over large-scale business data. Johnny also founded AI x Education, a leading think tank on AI adoption in education with over 9,000 educators. He holds a Master’s in Computer Science with a focus on AI from Stanford and has led AI programs for over 5,000 professionals across tech, education, and enterprise sectors.
Angelina You
Co-Founder
Former Data Scientist at Meta, where she built large-scale ML models for core product teams, with prior experience in analytics and product experience at EverQuote (post-IPO) and CircleCI (unicorn startup). Angelina is an Accel Fellow, founder of Stanford Founders' AI community, and a frequent speaker at national AI forums such as Women x AI, where she focuses on helping non-technical workforces adopt AI through workflow automation. She holds a Master's in Management Science and Engineering from Stanford University, with a focus on AI adoption and technology management.