PolyChord brings together true data science excellence with commercial expertise to help optimise the use of sensors. Unlike other data science companies, we have one of a kind, next generation tools that help our clients find the most cost effective and efficient placement of sensors, transmitters, and receivers in a network that draws from three year's work with Britain's Ministry of Defence. Thanks to our unique technology, our team can separate specific, useful information from unorganised, complex or incomplete data sets.PolyChord is derived from Cambridge University's Astrophysics department. Dr Will Handley (CTO) originally designed the PolyChord algorithm with Prof. Mike Hobson (CSO) and Prof. Antony Lasenby (Academic Advisor) to interrogate the 10 billion year large dataset collected by the Planck satellite. Realising the potential benefits across many different commercial sectors, the team sought to commercialise the tool under the direction of Mike Handley (CEO) and together formed PolyChord Ltd.After several stages of R&D with the initial algorithm in a multitude of commercial fields, PolyChord Ltd is now creating exciting commercial software. Our services range from predictive maintenance algorithms to delivering solutions for the best placement of sensors in private 5G networks.Our method ensures that what we deliver is fit for purpose and genuinely useful, meeting challenges with practical outputs, such as: "Where exactly in my rail network should I inspect?", "What part of my bridge is faulty?" and "When should I next inspect?"Each time we deliver a computed answer rather than an informed guess, and we let you know how much certainty is in the answer. Ordinary Machine Learning cannot do that.We have aspirations to grow our team of data scientists to further our ambitions in R&D and continue the development of the work we have been doing in protein structure investigation for new drug discovery.