Modeling and simulation services
ProCycla's ModSim department provides top-of-the-line computational tools to create virtual digital twins of specific systems. Our service is designed to optimize energy and biological processes, such as anaerobic digestion plants and biogas generation, leading to more efficient and cost-effective operations for your business.
We are experts in guiding and advising companies through their R+D+I lines and industrial processes. Our team specializes in designing and optimizing prototypes, ensuring you have the best possible outcome for your project. Additionally, we can customize mathematical models to meet each client's unique needs and requirements.
With MoDSim, you can trust that you will receive personalized attention and innovative solutions to help you achieve your goals.
Why use modeling?
Modeling involves implementing a mathematical representation of a reality allowing us to understand how it works. On the other hand, simulation is about taking these models, solving them, and visualizing them in a particular software and computer model that describes the essential part of the behavior of the process or system of interest over time.
The combination of both allows us to speed up decision-making. This way, companies can make decisions faster than through experimental processes, avoiding extra costs. In addition, it reduces the risk to operators and the environmental impact.
Nowadays, modeling and simulation are related to creating a digital twin of a specific process or system.

What is a digital twin?
A digital twin is a virtual model of a physical system that uses real-time data and simulation to replicate its behavior and characteristics. When applied to an industrial process, it provides a powerful tool for studying and improving it in several ways:
It can simulate the behavior of a process, enabling engineers to test different scenarios and optimize them for better performance. This means potential problems can be identified and resolved before they occur.
It can monitor and analyze data in real-time, providing insight into the system's performance. This enables us to identify areas where improvements can be made, such as reducing energy consumption, increasing efficiency, or improving safety.
It can be used to train and educate operators, providing a virtual environment for them to practice and learn without the risk of actual equipment damage or injury.
By using a digital twin, you can optimize and streamline processes and reduce costs, all while gaining valuable insights into how the system behaves in different scenarios.
Meet our team
Meet our team of engineers specialized in bioprocess modeling, CFD simulation, and machine learning.

Biochemical Engineer and Team Lead.
Ph.D. in Engineering Sciences from PUCV (Chile).

Biotechnology Engineer and Modeling Researcher. Ph.D. in Chemical Engineering from the University of Alberta (Canada).

Physicist, Modeling and Simulation Engineer. Master's Degree in Computational Graphics.