In the United States, people with diabetes often face a healthcare system that leaves them underserved. Most rely on primary care doctors rather than endocrinologists, meaning they may not receive the specialized guidance required to manage day-to-day blood sugar fluctuations. Continuous support is limited, and many patients navigate complex glucose patterns largely on their own.
GlucoSense, a digital health startup born out of research at Georgia Tech and based in Tech Square, aims to address this gap. In August 2025, the company introduced the GlucoSense Companion, an AI-driven feature within its app that converts continuous glucose monitor (CGM) data into personalized, real-time insights. The release, part of Version 2.0 of the app, reflects GlucoSense’s focus on patient-centered care and the use of artificial intelligence to help people better understand and manage their diabetes.
The company’s founding story is personal. Co-founder Jonathan Fitch experienced a stress-induced hypoglycemic seizure in college, highlighting how reactive and isolating traditional diabetes management could be. “I realized how reactive and isolating diabetes care had become,” Fitch said, explaining the motivation behind GlucoSense. Together with co-founder Cole Chalhub, he set out to create a system that would provide guidance and understanding, not just data.
Read last year’s feature on GlucoSense here.
The GlucoSense Companion builds on the company’s broader platform, which is already available on iOS, Android, and the web. The Companion functions as a virtual coach, analyzing blood sugar trends and linking them to daily habits, including sleep, nutrition, exercise, and stress. It utilizes machine learning and the proprietary GlucoScore™ algorithm to detect behavioral patterns that impact glucose variability and establish a personalized 30-day baseline for each user. Insights are connected to educational resources, translating complex data into practical, actionable guidance.
“We built the GlucoSense Companion to go beyond numbers. It’s about translating data into understanding that empowers people to take control of their health,” Chalhub said. “Diabetes doesn’t come with a manual, so we built a system that helps people decode the mystery on their own.” By integrating with widely used CGMs, including through a partnership with Dexcom, the app provides this support without requiring additional hardware.
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