Example applications



Understanding key performance characteristics of bioreactors and how they change with scale is critical to developing high throughput processes. Our use of computational fluid dynamics modelling approach predicts critical metrics, allowing you to scale up your process efficiently and effectively.

If you would like to find out more download the one page summary of our approach below, and book a call to discuss how this can help with your requirements,


Blood pumpS

Medical interventions concerning blood flow need to be careful not to damage the blood. Our approach to using advanced fluid models  and cloud computing provides a more accurate prediction of blood flow, which gives a better measure of damage metrics.

Read 'Pump up the accuracy' on our blog.

Contact us to book a call to discuss how we can help your blood flow models give better results.

Blood Pump Graph.png

Workplace Ventilation

Airborne transmission is becoming accepted as a significant route for the transmission of coronavirus. Airborne transmission is more prominent in enclosed spaces. We can help you understand and improve the effectiveness of your workplace ventilation to help reduce transmission risk, and contribute to your return to work risk assessment.


We use computational fluid dynamics to illustrate the areas in your workplace that are being ventilated less effectively (shown in blue in the image above), and which can be improved by desk or floor fans placed in specific locations.

Computational fluid dynamics also allows us to show the paths the air takes within the workplace. This allows bespoke distributed seating plans to be designed which minimise the amount of air paths between seated desks.



Lab-on-a-chip devices, used in medical devices for processing samples and diagnosing illness, encompass intricate micro-scale circuits and channels, and require controlled manipulation of small quantities of liquids. One technique for control is through the use of the electro-wetting properties of the liquid - it's surface tension dependence on electric field strength. By locally controlling the electric field, microfluidic droplets can be moved and split as required for the process at hand. Computational fluid dynamics (CFD) can be used to model these processes, as shown in the animation below