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ai brains

AI simulations & digital twins

Next-gen AI that drives invaluable insights

A digital twin mirrors a physical environment - such as a factory, workforce, or proposed infrastructure change – to create a live digital representation. Real-time data from the environment is fed into the twin, creating a risk-free environment where almost any alteration, scenario, or shock can be assessed and evaluated.

Our most recent success

The client’s critical growth phase required significant changes to their business.

Their ability to move goods quickly to their customers’ doors is central to their brand position. But large infrastructure transformations are risky and expensive, and it’s essential they don’t compromise customer experience.

To maximise the benefit of capital expenditure, and ensure the changes improved the customer experience, they asked us to run simulations before they proceeded.

Our simulations found the project was not only viable but could be further optimised with minimal expense. The growth plan could proceed without major infrastructure changes and still maintain exceptional customer experience, consistent with the brand’s reputation. It would also alleviate staff dissatisfaction, reducing churn.

Digital twins let you adapt more quickly to a changing world.

  • Benefits

    Building a digital twin enables organisations to gain a much deeper understanding of the business state, operations, interdependencies, risks and opportunities for optimisation.

    • Run advanced ‘what-if’ scenarios across business functions – to understand the impact (e.g., capacity, cost, efficiency) of certain decisions on wider business operations
    • Mirror a physical structure of a system with a more logical and intuitive structure – to visualise and navigate data in a way that enables a better understanding of complex data
    • Simulate and predict behaviour – to identify potential future problems
    • Carry out scenario testing – to assess the impact of changes (it’s safer and much cheaper to break and reset a digital twin than a real system)
    • Rewind and replay situations using system logs – to diagnose the root causes of behaviours or faults
    • Connect multiple digital twins – to enable much more complex simulations across multiple ecosystems and see how they interact.
  • Why now?

    The idea of digital twins has been around for a long time, and they’re becoming more widely adopted as the technologies required have advanced and the costs of employing them have decreased, including:

    • The availability of real-time data, including data from connected sensors
    • The power of computer processors to analyse and present that data
    • The ability of machine learning to simulate the behaviour of systems that can’t be measured directly.

    The need for a digital twin could come from almost anywhere – both simple and complex organisations can benefit from a digital twin to answer complicated questions that arise under all sorts of circumstances.

What we do

Learn more about our other offerings

AI for workforce
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AI for transport, supply chain & logistics
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AI for marketing
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AI strategy & consulting
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