Solve the world’s biggest challenges, from cells to society
Accelerate Time To Breakthrough
Aether Engine provides scientists and healthcare organisations the ability to rapidly build massively scalable simulations with greater fidelity and complexity, leading to more accurate models and expedited decision making.
In the light of events such as the global pandemic, the healthcare and life sciences industry faces many challenges in making informed decisions quickly through sophisticated simulations that model reality. One such set of challenges is the associated complexity of configuring the underlying infrastructure as simulations scale in complexity to replicate the world around us, and the inability to tweak parameters and edit algorithms in an easy and iterative manner to elicit impactful insight swiftly.
Aether Engine is a spatial simulation library that natively understands massively-distributed workloads, removing the need for researchers to understand the complexities of distributed programming as well as the physical boundaries of a shared supercomputing infrastructure.
By leveraging an octree data structure, Aether Engine is capable of provisioning and de-provisioning compute power across any number of cloud servers, optimising compute and enabling unbounded scale through massively distributed computing. The Hadean Platform underpinning Aether Engine, has been architected to remove the reliance on complex middleware and make this performance at scale possible. By reducing millions of lines of code the computation runs on bare metal, significantly reducing the risk of failure.
Unprecedented Scale and Reality
Create simulations with unbounded scale and fidelity through the power of massively distributed computing, to model the most complex problems from cells to society
Iteration and Interactivity
Tweak parameters and edit simulation algorithms in an easy and iterative manner without the need to continually configure underlying infrastructure
By rapidly building sophisticated simulations that model reality, researchers can elicit impactful insight swiftly to accelerate breakthroughs
Human Lung Viral Replication
Aether Engine has been used by the Francis Crick to simulate COVID-19 virus transmission around the human lung network.
An accessible and fully customisable development environment is enabling clinical researchers to produce at-scale analyses of the current epidemic.
COVID-19 Contagion Modelling
Aether Engine ran a multi-agent spatial simulation to model pathogen spread along the UK road network.
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.
Modelling Protein-Protein Interactions
The Francis Crick’s Biomolecular Modelling Laboratory were able to scale Cross-Docking, a new technique supporting drug design.
We were able to significantly reduce the computation time required to sample millions of possible protein structures and the results were published in the journal, Proteins.