Life science researchers face an exponential expansion in data volumes, while wrestling with objectives including: minimizing time-to-market, maximizing efficacy at the same time as ensuring safety, and creating better-targeted therapies. Machine learning can turn this data from a time-sink into a resource that accelerates innovation.
Apply the Alchemite™ Suite tools to design experiments and gain data insights across drug discovery, translational medicine, formulation, and manufacturing.
And Alchemite also provides a customized solution for oligonucleotide manufacturing, tuned to support specific critical workflows in oligonucleotide process development.
White paper: 5 ways machine learning can power life science data analysis
Alchemite™ for oligonucleotide manufacturing
Developed in collaboration with CPI and experts from six leading pharmaceutical and biotech organizations, this is a software solution customized for oligonucleotide manufacturing data, applying the power of machine learning to remove critical bottlenecks in process development. It assists across the full manufacturing process including synthesis, cleavage and deprotection, purification, and analytical method development.
Alchemite™ for Design of Experiments
Alchemite™ is a data-driven experimental design tool that helps your organization become more productive with no extra effort. Powerful machine learning enables your team to work smarter, reducing experimental time by up to 80%. No lengthy training courses, no need for advanced statistics, and no coding required. Apply it to lab experiments or clinical studies programmes.
Alchemite™ for R&D insights
Unlock the insights hidden in your data through the power of machine learning. In discovery, development, manufacturing, and beyond, Alchemite™ makes it quick and easy to learn from any dataset, creating models that you can apply to fill in missing information, find critical relationships, and guide decision making.
Alchemite™ for formulations & manufacturing
Alchemite™ puts you on the fast track to optimizing formulations and manufacturing processes. Formulation scientists can rapidly test out new ideas and gain breakthrough insights from their data. Experimentalists can find and explore new combinations while dramatically reducing the number of experiments needed. Apply the power of machine learning through desktop software that is quick to learn and easy to use.
