Deep tech startups, VC investments, and deep problems, E25
Applied AI Pod
English - March 11, 2021 11:04 - 1 hour - 59.8 MBManagement Business Education Self-Improvement nlu applied ai artificial intelligence ai use-cases ai applications at scale nlp computer vision ai practitioners Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed
01:35 - Why did you decide to continue bootstrapping and decided to not opt for an investment.06:50 - In the age of the million dollar supremacy how much money is a VC ready to invest.08:56 Open source AI, good or bad idea? - VC and deep tech founder perspective.14:15 - What’s the ideal shareholder split?20:40 - Should one opt for Europe instead of Silicon Valley to raise capital faster?23:10 - Effects of the pandemic on the deep tech investment space.29:10 - Do VCs run their due diligence in their investment process + should VCs start considering checking reddit channels from now on?32:45 - The gap between early stage deep tech startups and investments.41:30 - Time, as an essential factor, in a deep tech startup - time from idea to prototype.49:45 - How is a founder coping with the long development cycle from a cost / business model perspective.55:00 - Pre-seed to seed stage, where is the role of AI/ML: core, feature, end-to-end, black box.59:10 - How much is reusing vs. proprietary AI work.01:01:15 - What does a VC scout do?
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