Slingshot Simulations, a digital twin company, was founded in 2019 with a mission to deliver insights from cutting-edge data science.
Our technology allows us to positively impact the biggest challenges faced today: climate change; sustainability; resource management, public health, and more.
We’ve worked with sustainable conservation organisations such as the Rainforest Trust to optimise their data and simulate outcomes.
We are a thought leader and industry pioneer within digital twin company circles, participating in global and national organisations such as the Digital Twin Consortium and Centre for Digital Built Britain.
Our highly diverse team brings together a wide range of backgrounds and domain expertise.
The wide spanning backgrounds of the team (environmental science, journalism, neuroscience, art and design) allows us to build a variety of creative perspectives alongside computer science and data management expertise.
This all enables us to deliver a unique perspective on the solutions we develop. Find out more about the team here.
Follow our LinkedIn for further updates and opportunities from us. We’re constantly posting student and young profession opportunities and well as tech updates and capabilities of our digital twin and decision intelligence platform.
What is a Sustainable Digital Twin? A Slingshot imagining of what a Sustainable Digital Twin means to us… At Slingshot Simulations, we define a digital twin as a simulated portrayal of an authentic entity. We align with the Digital Twin Consortium’s definition as a virtual representation of real-world entities or processes. Furthermore, (as uncovered further in […]
Slingshot Simulations Ltd is pleased to announce that we have teamed with aSTEAM Village to help support their mission of digitalisation, inspiring the next generation of science, technology, engineering, arts and math (STEAM) students. Based in Kansas City, Missouri, USA, aSTEAM Village is an organization that focuses on engaging students, families, and educators in science, […]
Businesses in manufacturing and distribution are becoming more efficient and adaptable than ever before thanks to the rise of remote monitoring, predictive maintenance, and digital twins. Industrial Internet of Things (IoT) devices are being used to collect key performance data, which manufacturers are then using to guide strategic business decisions and improve operational efficiency. The […]
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