AI-powered Process Simulation
Get clarity and optimise with AI process simulations tailored to your process with your data. Not only can this accelerate and lower the cost of R&D for specific processes, it also enables you to turn historical data into competitive advantage driving all future R&D.
Our unique technology
Our proprietary AI process modelling approach combines mechanistic models with the latest machine learning techniques to create a hybrid system that offers the best of both worlds. Mechanistic modelling allows us to offer explainability, key to understanding not only what process to choose, but why, whilst machine learning allows us to capture the subtle nuances of biological processes, allowing our results to reflect the specifics of each and every scenario.​​
Why this matters
Acquiring data is expensive and time-consuming, which is why our hybrid approach allows you to start modelling before you run experiments, so you can simulate your process with new unit operations you haven't tried. As the system maximises the value gained from each dataset, it can also deliver predictions and improvements from just a handful of experiments.
How it works
End-to-end process modelling
Model your end to end process to predict the output, purity, cost and sustainability, and see how changes impact outcomes.
Data integration
Upload past experimental data for continuous improvement of specific processes, and improve predictions of all your future R&D projects.
Dynamic Analysis
Use advanced analysis and data visualisation tools to identify hotspots for optimisation, understand the impact of scale and other parameters on outcomes, and compare options.
