Arvochem is a pre-launch software company developing an AI-accelerated platform for chemical process development, from laboratory experiments to reactor scale-up. Designed for teams in pharmaceuticals, fine and specialty chemicals, agrochemicals, and materials, its desktop workflow brings five modules together in a single project: process optimization, kinetics modeling, reactor scale-up, workup and isolation, and cost estimation.

The optimization module uses surrogate models to recommend informative experiments and help identify promising conditions. Kinetics tools fit rate constants from concentration-time data, while scale-up features support reactor sizing, thermal safety, mixing, and heat-transfer analysis. Workup tools cover downstream operations such as quenching, crystallization, and isolation. The cost estimator provides flexible, preliminary CAPEX and OPEX estimates, with equipment customization and report export.

Arvochem also presents its optimization engine for applications beyond process chemistry, including analytical methods, formulations, bioprocesses, materials, and food and agriculture. The company says the platform runs offline, keeping reaction data and results on the user’s machine, and that its models and calculations are benchmarked against published datasets and engineering references.