On Demand Pharmaceuticals (ODP) is reshaping how essential medicines reach patients. Through its modular, distributed production, ODP is building a more resilient, responsive domestic supply chain to help close critical medicine shortages.
For a distributed manufacturing model, each new process must reach robust, well-characterized, and scalable operating conditions quickly. ReactWise partnered with ODP to accelerate this for the development of a small-molecule API synthesis.
ReactWise supported ODP's team using our Bayesian optimization platform to guide an API synthesis campaign intelligently. Instead of large, sweeping experimental grids, ReactWise proposed the most informative experiments at each iteration.
The platform's visual analytics were important for the optimization and crucial for robustness and characterization. For example, contour plots of the response surface let ODP's scientists see how the process behaved across the parameter space - making it straightforward to identify robust operating regions.
By guiding experimentation with ReactWise, ODP reached target performance on the API synthesis with 50% fewer experiments than a conventional campaign would require - and, more broadly, cut its process development timelines by 50%.
For a business built on speed and agility, that acceleration compounds: fewer experiments and faster development mean each new process can be deployed sooner across ODP's distributed network, and vital medicines can reach the patients who need them faster.
