All Your Lab Data, In Context
Bring your lab’s instrument data, metadata, and more in one shared space. Seamlessly search and navigate contextual scientific information when and where you need it.


Access Insights Instantly
Visualize and interact with results across multiple measurement techniques with an intuitive software platform that doesn’t simply store files—it understands your data.
Enable Intelligent Innovation
Retain and reuse laboratory data for predictive analytics, artificial intelligence, machine learning, data mining, and more on a secure, massively scalable system.

FAIR Data Processing Pipeline
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.
BSSN™ Hub Features

Sophisticated Metadata Navigation
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).”
>> Frost & Sullivan Award
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