Signos pairs a continuous glucose monitor (CGM) with an AI-powered app to turn your real-time glucose data into personalized weight-management guidance — showing you exactly how food, movement and sleep affect your body.
Most weight advice is generic; Signos makes it personal and immediate. Glucose readings stream from your CGM into the app, where AI models trained on hundreds of millions of data points predict your responses to meals and activity, flag spikes as they happen, and suggest the right type and intensity of movement — based on your own history — to bring levels back down. You log meals and weight in the app, sync wearables, smart scales, Apple Health and Google Health Connect, and watch patterns emerge: which breakfast keeps you stable, which snack triggers a crash-and-crave cycle. The program was developed with researchers from institutions including Stanford, Harvard, Cornell and Princeton, and is built around building sustainable habits rather than dieting harder.
Signos leans on published CGM research to make its case: studies it cites show 87% of CGM users change their food choices based on glucose feedback, and nearly half move more when they see a spike. Its guidance follows simple pacing logic — for example, a 25-pound goal at a healthy one to two pounds per week maps naturally onto a six-month plan — and every plan includes full platform access for its duration.
Signos is a paid membership that bundles the platform, app and CGM supplies; plan lengths vary (longer plans lower the monthly cost) — see the website for current membership pricing.
Signos is for people serious about weight loss or metabolic health who want objective, real-time feedback on how their body responds — including GLP-1 users who want to protect their progress.