A simulation workstation for bioprocess design
Use the Insilico Suite to train models, run predictions, and troubleshoot measurements.
Sensitivity analysis
Systematically simulate perturbations in chosen process design variables to test how sensitive an outcome, like product titer, is to that parameter locally. Useful for hypothesis testing.
Optimizations
Run systematic optimization simulations against weighted multivariate objectives. Visualize and compare results with different simulations and experimental baselines.
Predictions
Simulate specified process designs and visualize the results.
Anomaly detection
Pinpoint metabolically infeasible data points and statistical anomalies in your process data.
Flux analysis
Mechanistically troubleshoot process results through timestamped, simulated pathway-level activity. Compare metabolic activity between different process designs.
You can easily integrate your data with the Insilico Suite for model training, anomaly detection, and optimization workflows.
Troubleshoot a process with sensitivity analysis