Engineering
Intelligence
Through
Digital Twins

We combine advanced simulation, AI and engineering expertise to create digital twins that optimize pharmaceutical processes and drive real production value.

Pharmaceutical Process Intelligence

Optimize Processes.
Improve Outcomes.

Our digital twin solutions help pharmaceutical manufacturers achieve operational excellence through data-driven process understanding.

  • Faster process development
  • Reduced scale-up risk
  • Better product quality
  • Lower energy consumption
  • Decision support for production teams
Simulated flow trace lines inside a mixing vessel
92%Mixing Homogeneity
-60%Shortcut Rate
-11%Feed-flow Protein Concentration
-22%Buffer Exchange Time

Process

How We Work

01

Process Analysis

Understand the process, data and optimization targets.

02

Digital Twin Development

Create virtual process replicas for deeper insight.

03

Physics-Based Simulation

Model flows, particles, structures and interactions.

04

AI Model Reduction

Transform high-fidelity models into fast predictors.

05

Process Optimization

Identify robust settings and operational improvements.

06

Operational Deployment

Support real-world decision making and scale-up.

Tools

Fields of Expertise

CFD simulation of the flow inside a stirred bioreactor

CFD

Computational
Fluid Dynamics

DEM simulation of blue, white and red particles mixing in a chute

DEM

Discrete
Element Method

Reduced order model: state-space equations, response surface and prediction curve

ROM

Mechanistic Reduced
Order Modeling

AI/ML model, shown as a neural-network brain on a chip, learning from simulation data

AI/ML

Based
Simulations

Digital twin workflow linking simulation, process data and optimization

Workflow
Development

Automation &
Digital Twins

Engineering dashboard with process KPIs next to a reactor model

Engineering

Consulting &
Decision Support

Contact

Let’s optimize your process.

Get in touch to discuss how simulation, digital twins and AI can support your next pharmaceutical process optimization project.

Contact us