Non-Invasive Quantum Systems
Wearable Insights, Smarter Living
About us
NIQS is redefining personal health through cutting-edge, needle-free glucose tracking; effortless, intelligent insights designed for those who demand the best in modern wellness technology.
Driven by innovation, our vision is to lead non-invasive sensing, adapting our core IP to transform not only personal health, but the wider landscape of connected, data-driven wellbeing.
Guided by a commitment to enhancing quality of life, we fuse precision engineering with responsible innovation, creating technology that empowers people while respecting our planet.
Team
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Nicholas Furtak-Wells, PhD
Chief Executive Officer
Nicholas holds a PhD in quantum optics from Leeds University and is responsible for leading NIQS commercial strategy and driving the business forward.
He is one of the co-founders and co-inventors of NIQS’ technology. He is also the recipient of the prestigious QTEC and Royal Society of Edinburgh enterprise fellowships, as well as receiving support from the Innovate UK ICURe programme.
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Benjamin Dawson, PhD
Chief Technical Officer
Benjamin holds a PhD in quantum optics from Leeds University and is responsible for leading R&D develop our revolutionary technology into a market-ready product.
He is one of the co-founders and co-inventors of NIQS’ technology, and has several years’ experience with running his own business. His cutting-edge research was supported by the NQIT (Networked Quantum Information Technologies) hub.
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Robert Mathieson, PhD
Chief Operations Officer
Robert holds a PhD in photonic materials from Leeds University, and is a world-expert in the photonic chip technology that NIQS is exploiting for our sensing applications.
He is one of the co-founders and co-inventors of NIQS’ technology, and brings a wealth of commercial, technical, and operational experience that he garnered from building two spin-out companies, where he managed staff and lab operations.
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Ioanna Pallikara, PhD
Lead Data Scientist
Ioanna holds a PhD in theoretical chemistry from the University of Manchester, where she applied machine learning for materials modelling and further refined these skills during her postdoctoral research. In her current role at NIQS Tech, she develops our advanced machine learning algorithms.She is passionate about applying AI and data science techniques to tackle complex challenges across science and technology.
Advisory board
Technology
NIQS’ takes on sensing using a fundamentally different approach to existing methods and techniques.
Rather than using traditional approaches which have numerous limiting factors, NIQS is utilising a novel optical interaction to extract information.
These interactions form our sensing mechanism that enable us to perform targeted measurements within the system or sample we wish to investigate non-invasively.
News
NIQS DELIVERS NON-INVASIVE GLUCOSE MONITORING WITH 99.3% ACCURACY