A viral MIT report claimed 95% of enterprise AI projects fail. This isn't because AI doesn't work, but because large companies are ill-equipped to build it. This creates a massive opportunity for startups that can deliver functional, integrated AI solutions where enterprises and established vendors fall short.
In a talk at AI Startup School, Casetext co-founder Jake Heller breaks down how he built and sold his AI legal assistant, CoCounsel, for $650 million. He provides a practical framework for founders on identifying valuable AI business ideas, building reliable products that go beyond simple demos, and creating a go-to-market strategy centered on trust and product quality.
YC partners discuss go-to-market strategies for AI in legacy industries, balancing growth with defensibility, knowing when to pivot even with traction, tackling hard technical problems, and making key hiring and open-source decisions.
Mukhund and Madhav Jha, co-founders of Emergent, detail their journey of building an AI-powered app builder that reached $15M ARR in three months. They discuss their pivot from enterprise agents, the multi-agent architecture that enables production-ready apps, and their vision for a future with a 'billion builders'.
In a conversation with a16z, Databricks CEO Ali Ghodsi and co-founder Ben Horowitz share pivotal stories and lessons from building Databricks. They cover Ali's transition to CEO, the strategies behind scaling an intense yet sustainable culture, the art of high-stakes dealmaking with giants like Microsoft, and the mindset required to turn down lucrative acquisition offers to build a trillion-dollar company.
Jesse Zhang, co-founder and CEO of Decagon, discusses how their AI agents are revolutionizing customer service for large enterprises by replacing mundane human labor. He covers their go-to-market strategy, the importance of a hardworking in-office culture, his journey as a second-time founder, and the future of an agentic world where AIs interact on behalf of companies and consumers.