Case Study: Regeneron achieves 20X faster mentor-mentee matching with Posit Team

Regeneron speeds mentor-mentee matching 20X with Posit PBC

Regeneron, a leading biotechnology company, faced a significant challenge in manually matching mentors and mentees for its internal professional development program. This manual process was extremely time-consuming and limited the program's ability to scale across the large Fortune 500 company. To overcome this, they turned to the data science expertise within their own team and the capabilities of Posit Team.

Using Posit Team, Regeneron's team developed an in-house AI-powered platform called MAGNETRON. This solution integrated R, Python, and knowledge graphs to automate the matching process. The results were transformative, achieving a 20X acceleration in processing applications. This allowed the program to successfully match a cohort of 400 applicants in just three days and later scale to serve over 4,000 employees across the company.

Regeneron