Simulations can provide insights and analyses that transform and optimise businesses across sectors. Yet creating simulations is a highly specialised task that requires expensive software and hardware as well as expertise in network analysis, physics and software engineering. This means that many companies find it challenging to access.
Slingshot Simulations aims to make simulation and data analytics more accessible through its user-friendly simulation service. The automated, integrated cloud-based service is a fast, cost-effective route to accurate simulation.
Slingshot uses a patent-pending optimisation technique for automated analysis of big data. The technology is based on over a decade of research and development, in close collaboration with industry. It can quickly handle large amounts of data to create real-time simulations for use in forecasting and analysis.
Dr David McKee was closely involved in the development of the technology as the company’s Lead Technological Architect while at the University of Leeds.
As CTO, David leads the company as it extends its scalable platform for companies in sectors including logistics, real estate, city planning, sustainable design and insurance.
The insights gained by more cost-effective, readily-accessible simulation services have been shown to improve clients’ market share by 2% to 3%. With such potential to influence business, Slingshot simulations is well placed to impact the global simulation market, currently valued at $6.5 billion.
Dr McKee was awarded a 2018 Enterprise Fellowship to further develop University of Leeds spin-out, Slingshot Simulations.
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