September 6th - 9th: Meet us at ISIC Budapest

At The Medicine Accelerator, we have developed a hybrid AI-enabled solubility prediction tool SoluAI^TM, combining thermodynamic insights with advanced neural network technology. Trained on an extensive dataset covering more than 200 model compounds and 120 organic solvents, including solvent mixtures, the platform can rapidly predict temperature-dependent solubility across a broad range of solvent systems.

SoluAI^TM enables scientists to generate solubility-temperature profiles in seconds, supporting rapid virtual screening of solvent candidates for crystallisation processes such as cooling and antisolvent crystallisation. This allows teams to identify promising solvent systems earlier in development, reduce experimental burden, and focus laboratory resources where they deliver the greatest value.

Key Benefits of SoluAI^TM:

· Rapid Virtual Screening: Identify promising solvent systems earlier for cooling and antisolvent crystallization.

· Efficiency & Sustainability: Drastically reduce experimental workloads, costs, and solvent waste.

· Adaptability: Create tailored neural networks in minutes to refine predictions as new data arrives.

· Superior Accuracy: Outperforms leading open-source alternatives.

Hear more about SoluAI^TM with our keynote lecture on “AI-enabled solubility modelling for crystallisation process design” at the 23rd International Symposium on Industrial Crystallization in Budapest Hungary.