Case Study: a global biotechnology company accelerates treatment decisions and drug discovery with Provectus

a global biotechnology company saves $10M and cuts cohort queries from hours to seconds with Provectus

A global biotechnology company faced significant challenges with its data infrastructure, as its genomics and clinical data were stored in separate legacy systems. This fragmentation prevented unified queries, created a bottleneck where every data request required engineering support, and incurred tens of millions in annual third-party licensing costs. To overcome this, the company partnered with Provectus to build a new self-serve data platform.

Provectus implemented a solution on AWS HealthOmics that unified the client’s clinical and genomic data into a single, queryable warehouse with a self-serve UI. This allowed researchers to run cohort queries in seconds instead of hours and eliminated the need for engineering tickets. The results were transformative: the company saved over $10 million by retiring its third-party licensing, increased annotation throughput, and lowered its data operations unit costs, accelerating both its internal R&D and its ability to monetize data for partners.