Scientific Data Discovery

Life Sciences companies are facing a data deluge, with vast amounts of disparate data in different formats generated along the R&D pipeline. In the push to develop safer medicines sooner, researchers and business users need to be able to exploit the totality of their enterprise data assets, no matter where the data is held, or in what format.

For example: Quickly investigating and responding to the detection of a contaminate in a downstream production run of a pre-clinical biosimilar candidate requires rapid access to analytical data, sample provenance and location data, scale-up process documentation, and instrumentation calibration status. However, rapid access is impossible with traditional tools, which require you to search across disparate data and then stitch answers together. Not only will this likely take days or weeks, thereby delaying the crucial next step in the R&D pipeline, but it is an inefficient and often inaccurate process.

Anzo^® solves these problems by automatically creating a knowledge graph that understands the meaning and relationships of all data in any format, and enables rapid, on-demand access to answers of both scientific and business questions. Anzo supports smarter and faster decisions for better insight.