VectorCat

VectorCat by sci2sci is a data intelligence platform for life sciences R&D that helps organisations make sense of fragmented scientific data spread across multiple systems. Instead of moving or duplicating data, the platform creates an intelligent layer on top of existing infrastructure to connect datasets, documents and experimental context.

VectorCat enables teams to:

• discover and navigate research data across tools such as ELNs, LIMS, internal databases and file systems,

• retrieve relevant experiments, protocols and metadata through semantic, natural-language search,

• automate parts of data exploration and documentation using AI-based assistants,

• and improve data reuse and long-term value by supporting FAIR data principles.

The platform is designed for biotech and pharmaceutical research teams that want to reduce data silos, improve cross-team visibility, and prepare their scientific data landscape for scalable AI-driven analysis.