Statistics show that 90% of the startups end up failing. Even those which are backed by VC firms/others show a failure rate of 75%. This is a giant waste of resources: sometimes supporting doomed-to-failure ventures, sometimes mismanaging potentially successful startups.
Causes of death are varied. According to Failory and other sources, the most frequent reasons for failure are: poor understanding of market demand, running out of funding, weak founding team and extremely hard competition.
Startups (and other kinds of highly innovative projects too) still offer limited ROI to their investors (private, but also public ones), mostly given they are run on an intuitive (or inexperienced) basis, thus frequently leading to suboptimal management.
So, there is a need for autonomous decision technology, complemented by deep VB knowledge, to allow entrepreneurs to increase their chances to transform ideas into successful commercial ventures at reasonable costs.