We accept that our algorithms will not be completely bias free from the start - there is simply no way of getting around that. However, we believe that the only way to uncover bias is to first be able to audit and understand it.
When human specialists assess founders they tend to get hung up on very few data points (ex-
Stanford, Google, had a great smile, I can relate to them, etc.). This has an overbearing weight in the investment decision. In contrast, our algorithms take into account thousands of data points which go beyond the reach and network of any individual investor.
Having this granularity of data and decision trail allows us to run statistical analysis, which in the near future will uncover traits that show positive correlations. We can then genuinely understand how much bias we had unfortunately coded, and be in a position to eradicate it.
No one else in the world has a data set like this and so they will always be plagued by bias, whereas we Koble wont.