Portfolio
We specialise in multi-physics simulation for the pharmaceutical and biotechnology industries, helping our partners understand and improve the processes and technologies behind modern medicines — from drug manufacturing and bioprocessing to drug delivery and packaging.
Combining expertise in fluid dynamics, thermodynamics, structural mechanics and particle engineering, we turn complex physical behaviour into practical engineering insight. We work alongside your team, from defining the challenge to integrating customised simulation tools and automated workflows into your development process — enabling informed decisions, more efficient development and better products.
Expert analysis and practical recommendations for pharmaceutical manufacturing and bioprocessing. We help you resolve process challenges, assess risks and improve yield, product quality and reliability. Scientific reports provide a clear, traceable basis for your engineering decisions.
Custom simulation solutions for drug manufacturing, delivery and packaging. Combining leading software with methods we develop ourselves, we deliver tools tailored to your products, processes and engineering needs.
A dedicated platform that prepares parameterised models, manages simulations and coordinates computing cluster jobs. Your team can explore more designs and operating conditions with less manual effort.
Infrastructure we bring into every project.
256+ CPUs
32+ latest-generation NVIDIA GPUs
Establish your process requirements, available data and improvement targets together.
Select the right tools and represent the physical behaviour that matters to your process.
Assess assumptions, compare predictions with available experimental or production data, and document uncertainties.
Investigate root causes, compare operating conditions and evaluate options for optimisation and scale-up.
Bring methods, results and actionable recommendations together in a structured scientific report.
Where needed, transfer models and tools to your team, including digital twins or AI-based reduced models for faster predictions.
Tell us about the process and what you need to know about it, and we will tell you whether simulation is the right instrument and what it would take.