As we kick off Month 1 of our AI Software Development Capstone, I am thrilled to officially introduce the project I will be co-developing over the next five months: MedReach AI.
In my role as the Project/Scrum Master and Backend Architect, I am pairing up with my teammate, Collin Miner, who will be spearheading the frontend UI/UX and client-side architecture. Together, we are building a multi-tenant SaaS platform designed to completely overhaul how pharmaceutical and medical device companies handle outreach, segmentation, and compliance. But before diving into our tech stack, we have to look at why this industry is in desperate need of a modern, lightweight solution.
The Problem: Data Rot and the "Two-Person Marketing Team" Dilemma
Mid-size pharmaceutical and medical device companies face a massive operational bottleneck: their marketing teams run off Healthcare Professional (HCP) databases that are constantly decaying. Industry data shows that physician contact information degrades rapidly—doctors relocate, change specialties, retire, or move across state lines where different data privacy laws apply.
When a two- or three-person marketing department attempts to run a campaign using unvalidated spreadsheets, three critical failures occur:
While enterprise-grade data hygiene tools exist, they cost hundreds of thousands of dollars annually and require dedicated technical implementation teams—completely pricing out mid-sized organizations.