Lesson Learned: Dissolving One AI Startup and Moving On to the Next

What do founders learn when one AI startup fails—and how do they carry those lessons into the next venture?

In this talk, we unpack the realities of shutting down an early-stage AI company: unclear documentation, unpaid pilots, weak product-market fit, and painful pivots. Then we explore how those experiences strengthen the next startup: sharper customer discovery, disciplined validation, better legal and equity foundations, and clearer go-to-market focus. This session offers practical insights for founders navigating transitions, turning hard-won lessons into strategic advantages for their next AI venture.

About Suchita Kaundin
Suchita Kaundin is a Product Manager with deep expertise in embedded systems, hardware–software integration, and platform technologies. She has worked across startups and multinational companies, building and scaling products in IoT, data storage, firmware, and software platforms. With a strong foundation in engineering, she transitioned into product management and excels at the intersection of technology, business, and customer needs. Suchita specializes in embedded software, ensuring seamless hardware–software interactions. She enjoys solving complex technical challenges, collaborating closely with firmware and hardware teams, and defining scalable, high-performance platforms that maximize efficiency and long-term product value.