August

Stoke-on-Trent creative agency Lesniak Swann has been named as the 100th company to benefit from Keele University's funded innovation programmes.

Manufacturing consultancy CIF is participating in the Keele Research Innovation Support Programme (KRISP), working with a fully-funded graduate to investigate setting up a CRM system.

Over 150 businesses from across Staffordshire came together at Burslem School of Art for an informal reception hosted by Keele University Vice-Chancellor, Professor Trevor McMillan

A Staffordshire construction industry business specialising in brick-tinting is laying the foundations for growth by working with Keele University and Stoke-on-Trent & Staffordshire Local Enterprise Partnership's Growth Hub

Astec Solutions is working with Keele University's Smart Energy Network Demonstrator programme to develop data analytics solutions for smart energy applications.

Through the Keele Research and Innovation Support Programme, the University is supporting Staffordshire jewellery manufacturer Hailstones to develop their Viking-inspired range and move into new export markets.

Assured Systems is participating in Keele University's Smart Energy Network Demonstrator programme to develop software that complements its specialist hardware with potential application to wind turbines, solar panels and smart energy networks

A Keele University programme which supports business innovation in Staffordshire and Stoke-on-Trent forges ahead as 100th Research, Development and Innovation Associate is appointed.

Computer Science students Jessica Hampton and Joe Miller have worked as Research, Development and Innovation Associates to help two young Staffordshire entrepreneurs develop an app that's set to be the Airbnb of the hairdressing world.

Internet security specialists idappcom is taking space at Keele University Science and Innovation Park to develop security for the internet of things - devices in our homes and offices linked to the internet.

Tamworth-based Powelectrics is the first business to sign up to the University's SEND project, and will use the opportunity to develop user-configurable dashboards to interpret data flowing from energy network sensors.