Predictive simulations, realistic visualisations and accurate modelling with cost effective scenario development
Massive Computing Power to Model a Whole City
Digital twins are held back by slow, expensive and computationally intensive infrastructure requirements. The scale invariant Aether Engine will remove bottlenecks, ingest vast quantities of real-time data and create distributed simulations with millions of entities. It enables predictive analytics and simulations that run for longer and at lower cost.
Virus Contagion Modelling
In just 48 hours, we created a simulation that modelled movement in London and Liverpool to assess the spread of Covid-19 and the impact of intervention on transmission rates.
Reduce Development Cost and Time
Hadean removes laborious build, iteration and update cycles that send escalate development times and cost. The dynamic scale allows digital twins to run for cheaper and longer, providing any number of planners with constant access to a persistent simulation.
Improve Real-Time Planning and Decision Making
Aid the decision making of policy members with highly realistic visualisations. Aether Engine enables planners to understand the logistical implications of projects by simulating digital twins and analysing complex behaviours being fed back from IoT devices.
Simulate Complex Physical Schematics
Dynamic scaling and distributed simulations run complex pathfinding involving an almost limitless numbers of entities. Bringing high-fidelity real-world scenarios to life, Aether Engine is technology agnostic, integrating with any number of existing tools including Unity, UE4 and Autocad.
Remove the limitations of real-time, real data simulations at massive scale with Aether Engine’s unbounded spatial scaling and Mesh’s big data capabilities.
Breakthrough infrastructure limits with Hadean
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Explore Applications Built on Hadean
Aether Engine scales across different processors and physical machines, utilising more computing power as simulations grow in complexity and size.
A real-time streaming and event handling library providing low-latency, bidirectional, mass scale information streaming between simulation and client.
Mesh controls and manages the flow, partitioning and storage of big data throughout the data warehousing lifecycle, which can be carried out in real-time.