In this episode, Hall welcomes Deepak Gupta, Managing Partner at Blue Bear Ventures.
Blue Bear Ventures (BBV) engages founders working on the frontiers of science and technology with the potential to solve some of the most pressing challenges we face in the world today. Their founders are scientists and engineers from the top research institutions in the world. They have founded some of the most promising deep technology startups in deep software & AI, synthetic biology, energy and gene therapy.
BBV is comprised of a team of investors, entrepreneurs and technologists, who are driven to help entrepreneurs build world-changing companies from their ground-breaking discoveries. Building on their success from operating the CITRIS Foundry startup accelerator at UC Berkeley since 2013, they’ve moved to found BBV because of the incredible technology and talent they have seen in the UC Berkeley community. Through their unique relationship with the University, they’re excited to provide a smoother startup path and expert guidance to deep tech entrepreneurs.
Deepak advises entrepreneurs at the UC Berkeley Haas Business school and is a mentor at various accelerators in Silicon Valley. He has 10 years of venture investing experience across 3 institutional funds. Prior to investing, he was part of 4 medical startups as either an entrepreneur or in management roles, having an exit with Cepheid (NASDAQ:CHPD), a molecular diagnostic company.
Deepak discusses some of the challenges startups face and the company’s investment thesis. He speaks about the state of investing, particularly during this COVID era, and mentions some current opportunities in the sector.
You can visit Blue Bear Ventures at www.bbv.io/.
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Hall T Martin is the director of Investor Connect, which is a 501(c)(3) nonprofit dedicated to the education of investors for early-stage funding. All opinions expressed by Hall and podcast guests are solely their own opinions and do not reflect the opinion of Investor Connect. This podcast is for informational purposes only and should not be relied upon for the basis of investment decisions.