Turning Data into Scientific Insight

Unlock the Value Hidden in R&D Data

Scientific data are different from other enterprise data and require specialized handling because of its diverse, unstructured, and often binary nature. Data can include images, time series, sound files, spectra, distributions, text files, and even written notes—all siloed away in data lakes, data warehouses, instruments, ELNs, and Excel files. The high incidental complexity associated with data access, manipulation, information extraction, and analysis in R&D creates enormous friction and inhibits innovation. We build domain-centric, dynamic solutions that unlock untapped insights and opportunities from your valuable scientific data.