Ep. 314 How I Raised It with Naveen Verma of EnCharge AI

Produced by Foundersuite (for startups: www.foundersuite.com) and Fundingstack (for emerging manager VCs: www.fundingstack.com), "How I Raised It" goes behind the scenes with startup founders and investors who have raised capital. This episode is with with Naveen Verma of EnCharge AI, a startup developing energy efficient analog in-memory-computing AI chips. In addition to being CEO, Naveen is a Professor at Princeton and so we discuss his journey from academia and research to leading a startup to an over-subscribed $100 M Series B. Learn more about EnCharge at https://www.enchargeai.com/ EnCharge most recently raised over $100 million in Series B funding. The round was led by Tiger Global and included participation from Maverick Silicon, Capital TEN, SIP Global Partners, Zero Infinity Partners, CTBC VC, Vanderbilt University, Morgan Creek Digital, and others. Previous investors participating in the Series B round include RTX Ventures, Anzu Partners, Scout Ventures, AlleyCorp, ACVC, and S5V. The round also included strategic investors including Samsung Ventures, the corporate venture capital arm of Samsung, HH-CTBC, a partnership between Hon Hai Technology Group (Foxconn) and CTBC VC, In-Q-Tel (IQT), the not-for-profit strategic investor advancing technologies for the U.S. national security community and America’s allies; RTX Ventures, the venture capital arm of RTX, a leading manufacturer of aerospace and defense systems and technology solutions; and Constellation Technology Ventures, the venture capital arm of Constellation, the nation’s largest producer of clean, emissions-free, reliable energy. How I Raised It is produced by Foundersuite, makers of software to raise capital and manage investor relations. Foundersuite's customers have raised over $21 Billion since 2016. If you are a startup, create a free account at www.foundersuite.com. If you are a VC, venture studio or investment banker, check out our new platform, www.fundingstack.com a startup developing proprietary analog in-memory-computing AI chips