Case Study: a large chemical enterprise achieves 90% reduction in material costs and chemist time with Mind Foundry

Use AI to overcome inefficiencies in experiment design and make the production process both faster and more efficient

A large chemical enterprise company sought to optimize the production process for a new product. The challenge was to maximize output while minimizing costs and preserving product properties, but each experimental trial was extremely costly and time-consuming, demanding a solution to minimize iterations. They worked with Mind Foundry using the Mind Foundry Platform to address these inefficiencies.

Mind Foundry encoded the problem's configuration space and constraints into their platform, defining a scoring function for all objectives. By leveraging existing data from similar processes, the solution intelligently balanced exploration and exploitation to find optimal parameters. This approach resulted in a 90% reduction in material costs and chemist time spent, achieving faster discovery and significant cost savings from fewer failed experiments for the client.