Squirrel AI: Learning by Scaling

Squirrel AI: Learning by Scaling

By
Stephen Ciesinski, Jeffrey Conn
2019|Case No.E666| Length 20 pgs.

This case provides an overview of the founding and scaling of Chinese artificial intelligence-enabled adaptive learning company Squirrel AI. The case details founder Derek Haoyang Li’s struggles to build and scale a comprehensive cutting-edge product and accompanying business model for China’s large and growing after-school education industry.

Learning Objective

Objectives include understanding the potential of artificial intelligence technology to disrupt large markets, the organizational pains of developing multifaceted software architecture, navigating the business complexity of scaling multiple simultaneous go-to-market models (franchise and direct-to-consumer), and hiring a skilled workforce.

This material is available for download by current Stanford GSB students, faculty, and staff, as well as Stanford GSB alumni. For inquiries, contact the Case Writing Office.