Bioprocess simulation

Scientific-grade bioprocess simulation.
Reliable. Industrial. Proven.

Simulation software, SmartScaler and expert consulting for robust process design, optimization and scale-up.

The challenge

Bioprocess decisions are becoming more complex — and more critical.

Industrial bioprocesses operate at increasing scale, complexity and regulatory pressure. Experimental capacity is limited, scale-up risks are costly and design decisions have long-term impact.

Process engineering teams need reliable, model-based support to:

  • Design robust reactors
  • Optimize mixing and mass transfer
  • Troubleshoot production bottlenecks
  • Reduce scale-up risk
  • Minimize unnecessary experimental effort
Simulated mass transport in a single-use bioreactor, showing how unevenly a tracer distributes through the vessel
Mass transport in a single-use bioreactor — © SimVantage

The numbers

Measured in production, not in slideware.

30% Reduction in mixing time in a 160 m³ bioreactor
20% Reduction in energy demand, saving 3,740 MWh per year
€1.3 M Avoided experimental costs within one year for a Top-15 global pharma company

Scientific foundation

Built on science. Validated in industry.

SimVantage combines:

  • Mechanistic process modeling
  • Hybrid modeling approaches
  • Engineering-scale reactor analysis
  • Academic collaboration
  • Industrial validation

Our methodologies are developed in close collaboration with leading research institutions and applied in real production environments.

View publications
SimVantage researcher evaluating simulation results in the laboratory

Trusted by

Our partners.

Industrial partners and research institutions we build, validate and publish with.

Novasign
Qubicon
Fraunhofer IPA
RCPE
TU Graz
TU Wien
RWTH Aachen

Application areas

Where our models make the decision.

01

Reactor Design & Optimization

SimVantage supports robust reactor design through scientifically grounded evaluation of mixing, mass transfer and power input. Model-based analysis identifies performance limitations and enables targeted optimization before costly implementation at scale.

02

Scale-up Strategy

Structured, model-based decision support reduces uncertainty between lab, pilot and production scale. SmartScaler and simulation tools help evaluate scale-dependent effects and enable predictable, risk-aware scale-up strategies.

03

Troubleshooting & Root Cause Analysis

Mechanistic modeling and structured parameter analysis support rapid identification of root causes in complex processes. This approach reduces uncertainty and accelerates resolution in development and production environments.

04

Process Transfer

Model-based evaluation of scale-dependent parameters supports reliable technology transfer across sites and reactor configurations. Early analysis reduces implementation risk and strengthens process robustness.

05

Digital Process Understanding

Integrated modeling approaches provide deeper insight into process behavior and performance drivers. Structured digital process understanding enables informed engineering decisions and long-term optimization.

Discuss your process challenge with our experts.

Whether you are optimizing an existing reactor or planning industrial scale-up, we support your team with scientifically grounded, industrially validated modeling expertise.