SNAQ is the only consumer nutrition app with a published randomised controlled trial.
Every number on this site is supported by peer-reviewed research. No marketing spin, just data.
In a 3-week RCT of 44 adults with T1D on automated insulin delivery systems, SNAQ use improved Time in Range by 6.6 percentage points (95% CI 2.9–10.3, p<0.001) and reduced Time Above Range by 6.3% with no changes to insulin dosing or hypoglycaemia rates. Benefits were largest in the postprandial window (+13.4 pp TIR in the 3 hours after meals).
Read the studySNAQ's volumetric technology was first validated across 48 meals and 128 food items, producing a mean absolute carb error of just 5.5 g — accurate across breakfasts, cooked meals, and snacks regardless of camera angle (JMIR mHealth, 2020). In a subsequent head-to-head study of 53 adults with T1D, SNAQ's error of 44.3% significantly outperformed both patient self-estimates (71.0%, p=0.017) and a competing app using standard portion sizes (81.2%, p=0.003).
Read the studyReal-world analysis of 202 SNAQ users with T1D and T2D on multiple daily injections showed a 2.0 percentage-point TIR increase on days when meals were logged (p<0.001) — visible from the very first use. Each additional logging day added a further 0.52 pp TIR. The effect is tied to active use: TIR stays higher as long as users are logging. Presented at ATTD 2025.
Read the abstractReal-world data from 250,000+ SNAQ users shows 45% Day-30 retention versus the 3% category median for health and fitness apps. Among users connected to a CGM, retention climbs to 56%. Evidence that clinical utility, not novelty, keeps people engaged.
SNAQ's volumetric technology was validated across 48 meals and 128 food items, producing a mean absolute carb error of just 5.5 g — accurate across breakfasts, cooked meals, and snacks regardless of camera angle.
Read the studyOur outcomes come from peer-reviewed trials and real-world data — not modelled projections.
44 adults with type 1 diabetes using AID pumps were randomly assigned 1:1 to SNAQ or standard care for 3 weeks. No therapeutic guidance or remote monitoring occurred during the trial. Participants managed their diabetes independently — eliminating performance bias. The gold standard for clinical evidence. Published in eClinicalMedicine (The Lancet), 2025.
All RCT participants wore CGMs throughout the 3-week trial. Time in Range, Time Above Range, mean glucose, and glucose variability were calculated from continuous sensor data — not food diaries, questionnaires, or recall. Real-world data from over 390 MDI users across T1D and T2D populations adds further evidence outside a controlled setting.
2 independent studies at Bern University Hospital put numbers on SNAQ's estimation accuracy. A head-to-head comparison against 53 people with T1D found SNAQ's carb error was 44.3% versus 71.0% for patients (p=0.017). The foundational volumetric study across 48 real-life meals confirmed a 5.5 g mean absolute carb error.
The gap between the two groups widened consistently over 12 weeks. SNAQ users spent more time in the healthy range and less time above it.
Free clinician access. RCT-backed nutrition data. Built for endocrinology, nutrition, and diabetes education teams.
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