Introduction
Many diabetes apps leave the hardest part unfinished: connecting what someone ate with the glucose response that followed. GlucIQ's opportunity is to help users create a cleaner record without hiding the uncertainty inside AI output.
The challenge
Meal estimates are imperfect, especially for mixed meals, restaurants, and delayed fat-protein effects. CGM data can also be delayed or disconnected. A trustworthy workflow needs editable estimates and manual fallbacks.
The GlucIQ approach
The app can combine photo-assisted meal analysis, user correction, CGM or manual glucose context, insulin-context logging, and a timeline that can be reviewed later.
The result to optimize for
The desired outcome is not autonomous dosing. It is a clearer explanation of what happened: meal details, glucose movement, insulin context, and notes in one place for the next decision or appointment.