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Tech

Newcastle tech firm Street Systems moves forward with investment backing

The firm is using the investment to bring in more equipment which will help it scale up and grow

(Image: CREST PHOTOGRAPHY free to use with story on Street Systems)

A North East tech firm which gathers data on traffic and pedestrians for planning professionals is mapping out its future following investment.

Street Systems was set up in Newcastle by directors Tom Bailey and Tom Komar, who had previously worked together for sustainable transport charity Sustrans and wanted to see better quality pedestrian movement data available to planning professionals.

The firm analyses how people and traffic circulate in the built environment, using sensors to track their movements – information which can prove invaluable for local authorites and planning groups.

Now Streets Systems is using a £25,000 investment from the North East Small Loan Fund, supported By The European Regional Development Fund, to invest in new monitoring equipment which will enable it to take on more projects and scale up its operations.

It has worked with The City of London Corporation on a project which aimed to reduce potential conflict between cyclists and pedestrians in a busy shared space, and also maintains permanent footfall monitoring equipment on Northumberland Street for Newcastle University’s Urban Observatory.

The directors worked with regional fund management firm NEL Fund Managers to secure the Small Loan Fund investment and are now looking to grow the firm’s client base, which includes architectural consultants, planning professionals, academic institutions and local authorities.

The business is aiming to double its annual turnover this year, and to then do the same again next year to take it to around £250,000 by the end of 2020. At least one new job is expected to be created each year over the next three years as the company grows.

Mr Bailey said: “Our people and traffic sensors can accurately track the movements of pedestrians and cyclists, as well as the speed and volume of motor traffic, and allow us to collect constant real time data 24/7, something which would be pretty much impossible for human observers to do in busy environments.