A new approach to scientific data management
Stop
Building bespoke point-to-point integrations with hundreds of different data sources
Worrying about audit trails and compliance
Struggling to connect raw data and related analysis results
Paying too much for data storage
Start
Leveraging the largest library of integrations
Archiving and restoring your primary and secondary data as required (all with complete audit trails)
Grouping raw data with analysis results (from manual or automated uploads)
Providing easy data access and reuse
Improving your scientific data management with less effort
Stop
Wasting your time searching for scientific data
Compiling data form a plethora of different repositories
Trying to aggregate experimental data with analysis results
Repeating experiments due to missing historical data
Start
Retrieving your and other teams’ current and historical data and results
Getting an overview of all your data and any activities related to these files
Easily compiling data for reports and filings
Tracking data with unique new lineage tools
Ensuring regulatory compliance with minimal effort
Focusing your time on science
