Today, research labs collect and process data using manual processes that are slow, tedious, and rife with opportunities for human error.

Getting a project off the ground can take months of configuration and coding. Recording requires systems, infrastructure, and significant effort to keep data organized. Manually passing data between processing tools leads to unnoticed errors.

In their current state, labs cannot meet new US and EU regulatory requirements for data management and traceability, creating substantial risks to institutions' grant funding and to commercial enterprises' ability to get their drugs or devices approved.

NIH awarded DataJoint an SBIR Direct to Phase 2 grant in July 2022 to commercialize our open-source framework. We launched our full-stack platform at the end of 1Q 2024. Six months later, our business exceeds $500k ARR with $6 million active deals in our sales pipeline. DataJoint is operating research labs for customers in 12 institutions including Johns Hopkins University, UCSF, Harvard Medical School, and the National Eye Institute (NIH). Our focus is currently shifting to the demand for solutions at scale from major institutions (50+ labs), with ACV of $500k and up. DataJoint has also agreed on a partnership with an Ivy League institution to sell and operate its leading video analysis AI software tool to pharma and biotech customers.