Case Studies Building a Global Informatics Infrastructure
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Building a Global Informatics Infrastructure

Platform as a Service (PaaS) - Data Management Platforms
Pharmaceuticals
Product Research & Development
Predictive Quality Analytics
Remote Collaboration
Data Science Services
Agenus, a global biopharmaceutical company, faced several challenges due to the lack of unified systems and a globally distributed R&D team. The absence of a centralized system made it difficult for scientists to find and share information effectively. The global distribution of the R&D team further impeded team collaboration. The complexity of R&D workflows exacerbated difficulties in tracking samples and experiments.
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Agenus is a global biopharmaceutical company with multiple immunotherapy and vaccine pipeline programs. The company employs scientific staff spread across four discovery, screening, and characterization facilities around the world. Agenus is involved in the development of innovative treatments by harnessing the power of the immune system for patients suffering from cancer and infectious diseases.
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Agenus adopted Benchling, a single, end-to-end platform that replaced their multiple informatics systems. This platform allowed them to track all of their experiments, results, and samples. Benchling made all institutional knowledge accessible to scientists across the globe, dramatically streamlining data transfer and sample tracking. Furthermore, Agenus was able to mine data across past experiments to determine which factors led to success and optimize future experimental design. This solution provided a centralized experimental data system, tracking across international sites, and the ability to mine success patterns.
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Agenus's scientists can see the experiments, results, and proteins of their colleagues at any given time, accelerating their timelines.
Scientists can review and plan experiments much faster by knowing every experiment done previously and which reagents have been produced.
Agenus can capture every detail as experiments transfer across groups and sites, knowing exactly how every candidate was derived without any ambiguity.
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