5 Minutes with Senseye – 6th Discovering Start-Ups Competition Finalist

Senseye (a name chosen to signify guidance and authority) is a Southampton based start-up founded early this year. Levering the IoT, they specialise in advanced predictive analytics and machine learning, bringing to companies the benefits of condition based maintenance but in an easy to use way, with insights delivered using natural human language, so that no technical background is needed and all at a low cost. They have been shortlisted to pitch at the 6th Discovering Competition Finals at Deloitte in London on October 21.

Rob Russell CTO of Senseye shares his insights via this short Q&A:

senseye team resized

From left to right; Simon Kampa (CEO); Alexander Hill; Rob Russell (CTO); Daniel Reid; Harry Rose; Robert Booker

What was the need you saw?

The need we identified is to make businesses more profitable by driving out inefficiencies and unpredictability caused by the machines and equipment they depend on. The area of condition monitoring is mature, but still has high parries to entry.  At Senseye we are developing an affordable, simple software solution that is sector agnostic and accessible to all.

What technology innovations do you expect to see unfold going into 2016?

The expectation for 2016 is for machine learning is to stimulate business cases that will arise from the establishment of the IoT.  Current IoT deployments are incentivised by specific vertical business cases but there is the opportunity to derive additional value by looking at the data across verticals. This then delivers insights outside the scope of the initial intent for the vertical solutions. 

More of a hope than an expectation is for someone to solve the integration of sensors, gateways and middleware.  There needs to be a evolution to a true plug and play capability and the need for user intervention to be designed out.

Share a key lesson you have learnt over the last year?

Focus on the things that take you toward your end product vision.  We have had many distractions forcing us to solve problems that are not directly related to product development.  Our need for data and want to show the breadth of capability in our vision, meant we ended up in areas where we were solving hardware problems to get the data we needed to trial our software.  It is easy to say in hindsight now, but partnering or paying more for sensor capability would have been a better option.  Stick to what you are good at!


Check out Senseye

Find Senseye on LinkedIn: LinkedIn

Follow Senseye on Twitter: @senseyeIO


Keep the conversation going on Twitter: @CambWireless

Want to find out more about Cambridge Wireless? Visit www.cambridgewireless.co.uk