Unsupervised Investments (I): A Guide to AI Investors – Cyber Tales

Investing in AI is not an easy job: AI technologies are black boxes and unless you are able to dig into lines of code they may be inscrutable. Simply looking at proof of concepts might not be enough to really understand the underlying stack behind specific applications, and this represents a big barrier for investors to efficiently allocate their capitals. Generalist investors found then alternative ways to discern investable companies from the pile of tech-driven companies out there. Therefore, if a team is composed of scientists/researchers and has patents (obtained or pending), it would already be a good candidate for an investment even without any revenues. This is driven by top tech companies acquiring smaller startups simply for their'brain power' rather than their actual numbers.