Audience
Labs in need of a whole-lab automation and data integration platform
About Ganymede
Metadata such as instrument settings, last date of service, which user performed the analysis, and experiment time is not tracked. Raw data is lost; analyses cannot be modified or re-run without substantial effort. Lack of traceability makes meta-analyses difficult. Even just entering the primary analysis results becomes a drag on scientists' productivity. Raw data is saved in the cloud and analysis is automated, with traceability in between. Data can then go into ELNs/LIMS, Excel, analysis apps, pipelines - anything. We also build a data lake of this as we go. All your raw data, analyzed data, metadata, and even the internal data from your intergrated apps is saved forever in a single cloud data lake. Run analyses automatically and add metadata automatically. Push results into any app or pipeline, or even back to instruments for control.