A laboratory can generate mountains of results and still struggle to answer a simple question. Dotmatics built a business in that gap. Siemens paid $5.1 billion to own it.
Uncountable began with cold calls, consulting work, and an awkward truth: laboratories generate priceless knowledge, then bury it in spreadsheets. Its answer is a single memory for the experiment, the sample, the batch, and the decision that followed.
BioIVT says IDBS helped it deliver research data at least four weeks faster. The company’s bigger bet: better lab records can speed the journey from experiment to manufacturing - and give AI something trustworthy to work with.
The laboratory software veteran survived an IPO, a $123 million sale, a 12-year corporate hibernation and a private-equity rebirth. Its next experiment is harder: turning a sprawling enterprise stack into one usable thread from scientific idea to released product.
Paradigm4 builds scientific data management and analytics software for the life sciences. Its flagship REVEAL platform and SciDB array database let pharma, biotech, and research institutions integrate and analyze massive multimodal datasets - genomics, multi-omics, imaging, clinical records, wearables, and environmental data - to find biomarkers and validate drug targets. Co-founded in 2010 by entrepreneur Marilyn Matz and Turing Award-winning MIT professor Michael Stonebraker, the company is based in Waltham, Massachusetts.