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About Us

We solve people-flow problems in hospitals and clinics, by studying how people move in real-time. Because, with accurate data, there’s better spatial optimisation, less waiting and more time for what matters – getting patients back to health.

What makes us, us.

Wellbeing at the heart

At Spatial Quotient, wellbeing is at the core of what we do. We want to help healthcare organisations run smoother so that more patients can be treated and we can all be healthier and happier. We apply this to our own team as well, offering flexible working and the option to come and work in the peaceful surrounding of the South West of England.

Diversity & Inclusion

We have built a dynamic team with mixed backgrounds and experiences and we do all we can to make sure everyone feels equally welcome and a part of the SQuad. We recruit by getting to know people and assessing their skills and potential, not just their qualifications.

Intelligent people

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Tim Maguire

Chief Executive Officer
Tim has over 10 years of experience building successful partnership models with the NHS and Pharmaceuticals and is passionate about using big data analytics to make healthcare better for everyone.
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Kathryn White

Chief Operating Officer
Kathryn is an expert in technology innovation and entrepreneurial ecosystems. She has worked in innovation in the Financial Services and in Academia and has studied entrepreneurial culture across the world.
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Clive Swan

Chief Technology Advisor
Clive has 35 years of experience of building application solutions, taking them to market and delivering customer success. His most recent role was as Senior Vice President responsible for developing AI solutions across Oracle’s cloud enterprise application suite.

Ben Howes

Chief Technology Officer
Ben is a software engineer and an experienced entrepreneur with a background in web and IoT development. He has developed technology for a wide range of companies, spanning two-person startups through to major corporations such as ONS and e.on.
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Adil Rahman

Chief Data Scientist
Adil is a Machine Learning expert with a track record of leveraging data to provide valuable insights to hospitals and clinicians. Prior to SQ, he worked on a national cancer screen system with the NHS. Adil is responsible for data strategy and analytics.

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