BSSN™ Hub is specifically designed to support the FAIR data and metadata principles of Findability, Accessibility, Interoperability, and Reusability. This guiding philosophy helps us ensure that your scientific data are optimized for innovation as well as regulation.
Capture & Convert
Connect to more than 250 instrument models and convert the data to the open, standardized AnIML format.
Store & Integrate
Integrate instrument data into ELN, LIMS, SAP and other leading systems with central or distributed file storage.
Visualize & Process
Visualize and process raw data, metadata, and results independent from vendor software on any device, at any time.
Consume & Analyze
Optimize data for extended queries and secondary use for full automation, collaboration, and data intelligence.
Secure data in long-term storage with controlled access to help comply with FDA 21 CFR Part 11 and EU Annex 11.
Assign and cross-link contextual metadata attributes—such as project number, batch, or cost center—to make greater sense of your data sets.
Enterprise-grade Technology Stack
Start with a small deployment and grow to a global multi-site system with BSSN’s modern and massively scalable IT infrastructure.
Award-winning Presentation Interface
Process and interact with a vast array of scientific data sets and techniques, including bioreactors, chromatography, mass spectrometry, and more.
Tailored for GxP Environment
Our microservice architecture lends itself to a modular validation strategy, meaning upgrades can be isolated and have a low revalidation impact.
Vendor-independent Data Processing
Perform data analysis separate from the original instrument software or binary file, so your analysis methods can be portable across devices.
“BSSN™ Software built the lightweight laboratory data repository on a modern and scalable technology stack, inspired by cloud and big data architectures, allowing scalability to move from a small deployment and grow to a global multi-site system. [BSSN™ Hub] represents a unique combination of scalable file storage and a comprehensive data repository, and it presents a more sustainable approach than traditional scientific data management systems (SDMS).”