Venture Capital 2.0—the revolution of Machine Learning & Data-Driven VC

It’s possible to identify a few patterns across these domains. First, VCs are investing in science much earlier than they have been comfortable with over the past two decades as software and the internet monopolized the limelight.

None of this bodes well for many of the new VC entrants who have suddenly become enamored by the capital return potential of science. We have a view that real advances in science are relatively rare, that they are hard to produce, and they tend to be signaled by clear research evidence years if not decades in advance. Venture capital is not a fit f... See more