Shaun Miller, Kauffman Global Scholar 2012 - 13

Shaun Miller is a SETsquared Kauffman Foundation Global Scholar, an entrepreneur-in-residence at the University of Bristol and co-founder of inMotion.

Shaun MillerShaun describes his business ‘as attempting to solve the biggest frustration that any golfer has in their game: inconsistency. Amateur golfers the world over are all too familiar with the elation of hitting the perfect shot, only to suffer disillusionment as they see the ball whizzing off waywardly on their next attempt. The trouble with the golf swing is that it’s over in just an instant. Our aim is to develop a product that gives back this missing information to the golfer. Using three axis MEMS sensors our device will be able to accurately track the motion of a golf swing. This information is wirelessly transmitted to the user’s smartphone or tablet device where they can watch, analyse and learn from their previous swings. Both amateur “hackers” and more seasoned golfers who are interested in swing metrics such as angle of attack will find different uses for the device. Our next steps are exciting ones as we hope to work with a large golf retailer to take the product to market.’

Follow Shaun on TwitterBlogspot or contact him on +44 (0) 7711 693150 / [email protected]


Alistair Shepherd, Kauffman Global Scholar 2011 - 12

Alistair Shepherd is a SETsquared Kauffman Foundation Global Scholar, an entrepreneur-in-residence and Research Engineer at the University of Southampton and co-founder of Saberr.

Alistair Shepherd

Alsitair describes his business, 'We hate traditional recruitment methods, we love disrupting entire industries and we love big data. Our business takes insights from psychology into how we build meaningful relationships. Combining this with recent research from Noam Wasserman of Harvard Business School stressing the importance of team dynamics in achieving success, has led us to address the problems facing corporate HR.

Using a statistical approach to psychology, combined with advanced behavioural measurement tools (not personality profiling) and classical skill-set analysis, we have developed an algorithm that predicts a percentage chance that two or more individuals will work exceptionally well together.

This algorithm can be used in two primary ways:

To recruit new staff into the work place. Staff that will work more effectively, efficiently and be retained for longer.

To reshuffle existing staff within the workplace, and intelligently form teams to increase innovation. This is especially useful for predominantly project based industries.

So far we have successfully tested the algorithm with Microsoft, who have expressed interest in using it. We have a good research relationship with Startup Weekend where we test our work. We have also been approached by the head of strategy and operations at Google (EMEA)'.

Follow Alistair on Twitter, Blogspot, Facebook, or contact him on +44 (0) 7789 166432 / [email protected]