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Accurate carb counting with a single photo,
making blood glucose management easier.
*Measurement results are for reference only and may vary by individual.
We restore food from photos into 3D objects to calculate actual volume.
Simpler than a scale, more accurate than guessing.
Just take a picture showing the plate. AI restores the food surface into a 3D mesh, precisely measuring unseen volume and carbohydrate amounts.
Beyond a simple logging tool, GlucoUs acts as the core terminal and engine where precise user data creates a virtuous cycle, driving a massive ecosystem of artificial pancreas systems, clinical research, and awareness.
Precise logging creates high-quality data, and improved services return as better records. The three gears interlock to start a virtuous cycle.
※ All data collection is consent-based, safely pseudonymized, and used solely for metabolic research and algorithm enhancement.
Advanced precise carb data, refined through the flywheel engine, extends beyond individual management to innovate the entire diabetes ecosystem.
Precise meal data is a core input for artificial pancreas algorithms. We lay a solid foundation for building fully automated closed-loop APS.
View GuideReal-world multimodal data of meals, blood glucose, and CGM accumulated through clinical cohort connections directly contributes to next-gen precision diabetes research.
To be released after app launchThrough our proprietary metabolic simulator, non-diabetics and the general public can intuitively experience the correlation between meals and glucose spikes, expanding healthy awareness.
Experience SimulatorGlucoUs analyzed over 30,000 actual meal and glucose data points over 7 months. The result was clear: roughly estimated logs were of little help in understanding our bodies.
The graph is scattered randomly. Even when thinking you ate less, glucose spiked. Eyeballed records made it completely impossible to predict glucose changes.
Knowing the exact amount reveals a consistent diagonal pattern. It clearly shows a trend where glucose rises proportionally to what is eaten, being 20 times more accurate than guessing.
* GlucoUs internal data analysis (approx. 30,000 logs, over 7 months) · This data is not for medical diagnosis.
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