
Sai Life Optimizes its global data management through collaboration with STARLIMS
In this case study, STARLIMS helped Sai Life in the standarization and optimization of instrument data, results and file storage.
In this case study, STARLIMS helped Sai Life in the standarization and optimization of instrument data, results and file storage.
Precision Diagnostics installed the STARLIMS Cloud platform for enhanced data security to underpin all aspects of sample tracking and management, and to streamline testing workflows.
ImClone, a wholly-owned subsidiary of Eli Lilly implemented a fully automated LIMS process from STARLIMS to replace their paper based process.
Discover how STARIMS SDMS helped Imclone increase efficiency by converting their lab processes to be virtually paperless.
In Douglas Pharmaceuticals, a “Smart Labs” program was established, and based on capacity and utilization studies, the opportunity for over 20% efficiency gains was identified.
Medline Industries sc. selected STARLIMS Quality Manufacturing LIMS as a highly configurable informatics infrastructure.
RNB Cosméticos, located in Valencia – Spain, is a cosmetics company focused on the research, development and manufacture of face and body cosmetics, sun protection products
STARLIMS was chosen to replace the firm’s legacy CambridgeSoft and Freezerworks inventory platforms for its biologics samples that are used for biological manufacturing.
The Costa Rican Association for the Screening and Prevention of Childhood Disabilities (ASTA) is responsible for implementation of the country’s neonatal blood screening program for inherited metabolic diseases.
Synergy is Western Australia’s largest provider of gas and electricity, operating as a generator and retailer, to more than one million residential, business and industrial customers. The
The Michelin Group is one of the world’s leading tire manufacturers. With 68 industrial sites located in 17 countries, Michelin develops, manufactures and markets its
The Global Formulation Technology within Bayer CropScience had to replace their old lab data system operating at multiple sites due to insufficient functionality and no