About

GlucIQ exists because diabetes meal decisions still feel like guesswork.

We are building a focused mobile app for people who need more than a carb total: meal photos, editable estimates, glucose response, insulin context, and a record that is easier to discuss later.

See the product How the estimates work

Privacy-led data model

Designed for local-first storage.

GlucIQ is designed to manage core records locally. Cloud processing and integration data flows will be documented in the relevant app flow before launch.

Local core
Core records are intended to be managed on the device first.
Explicit exceptions
Cloud, support, and integration flows will be explained in context.
Deliberate sharing
Export and sharing remain explicit user actions.

Built by AviyanLabs LLC

GlucIQ is launch-stage software. Public claims stay tied to implemented mobile workflows, documented integrations, and clear safety boundaries.

Meal → response

one editable record from estimate to review

Dexcom + LibreLinkUp

documented integration paths in launch validation

Plate → item list

the scanner keeps the photo and lists the foods it found

Editable by design

AI estimates stay reviewable before saving

Mission

Make every logged meal easier to trust, correct, and review.

Food tracking apps often stop at macros. Diabetes routines need the next layer: what the estimate meant, what glucose did after the meal, whether device data was connected or manual, and what should be discussed with a clinician.

GlucIQ is designed around that record. The app helps capture a meal quickly, keeps estimates editable, shows reasoning when insulin context is displayed, and keeps medical authority with the user and licensed care team.

Editable first

AI starts the record; you finish it. Every estimate is editable before it becomes part of your timeline.

Clear boundaries

GlucIQ can organize meal, glucose, and insulin context, but it does not replace licensed clinical advice or issue dosing instructions.

Useful without perfect sync

Device integrations matter, and manual logging stays a first-class path when a CGM connection is incomplete or unavailable.

Privacy by default

Health-adjacent data stays local-first wherever possible, and sharing and support workflows are explained before you rely on them.

Launch transparency

What we are shipping, and what comes next.

What is real today, and what is still being prepared.

Now

Meal photo analysis, editable nutrition estimates, glucose timeline context, and insulin formula visibility.

Launch

Public mobile app release, store-ready privacy/support pages, founding-member pricing, and expanded onboarding documentation.

More device/provider coverage, clinician-friendly review exports, and a stronger evidence library for diabetes education content.

Research

An on-device model, following the GlucoFM methodology, that learns from your own meals, insulin, and sensor history to sketch where the next hours are heading. In training; not in the app yet.

Who operates GlucIQ

Legal entity: AviyanLabs LLC, a Wyoming limited liability company
Registered address: 30 N Gould St, Ste N, Sheridan, WY, United States
Product: GlucIQ (listed in the stores as GluciQ: Diabetes Food Scanner), app version 1.0.0, bundle identifier com.gluciq.app

Support and privacy requests: [email protected]
Product feedback: [email protected]
Registration and legal documents: Imprint, Privacy Policy, Terms of Use, Security

GlucIQ is a consumer information tool. It holds no regulatory clearance in any market and makes no diagnostic or therapeutic claim. Where we operate as a software supplier rather than a licensed provider, clinical authority stays with the user and their care team.