In this guide
→ How Signos Works→ The Weight Loss Evidence→ Concrete Insight Examples→ The Dietitian Layer→ Pricing and Whether It Is Worth It→ Who Benefits Most→ Who Should Skip Signos→ The App Experience
You eat the same lunch you had last Tuesday, and this time the 2pm crash hits harder. Your focus drops, your decision-making slows, and nothing obvious explains the difference. A continuous glucose monitor makes that answer visible in real time: your blood sugar spiked, then fell, and the depth of that fall is what you felt. Signos puts that data on your phone and pairs it with an AI coach and dietitian access to help you act on it.
The question is whether that hypothesis is well-supported, whether the product is worth the price for someone without diabetes, and whether the AI layer Signos adds on top of the raw sensor data is genuinely useful.
How Signos Works
Signos uses the Dexcom Stelo CGM sensor, which became available over the counter in the US in 2024 without a prescription. The Stelo is FDA-cleared and reads interstitial glucose every 15 minutes via a small filament sensor worn on the upper arm for 15 days per sensor. The sensor itself is painless to apply; most users describe it as a brief sting during insertion followed by no sensation during wear.
The Signos app tracks glucose readings against meals (entered manually or via photo logging), exercise sessions, sleep, and stress events. The AI system generates glucose target zones personalized to the user and flags patterns. For example: which specific foods are causing significant glucose spikes for that individual, or how a particular exercise routine is affecting overnight glucose levels. Individualization matters because glucose responses to the same food vary significantly between people, which is well-documented in nutrition research. Two people eating identical meals may have glucose responses that differ by 50 to 100 mg/dL.
In May 2026, Signos announced a $20 million funding round, reflecting investor confidence in the CGM-for-wellness market beyond the medical device sector.
At a glance
| Aspect | Signos |
|---|---|
| Price | $129/month (includes sensors and dietitian access) |
| What it is | CGM (Dexcom Stelo) plus AI glucose coaching |
| Best for | Non-diabetics wanting personalized glucose insight |
| Note | Not insurance-covered for wellness use in US |
| Verdict | Useful ~3-month experiment (~$387); cancel once patterns are clear |
The Weight Loss Evidence
Signos conducted an internal study showing users who followed AI recommendations lost an average of 10% of body weight over 12 weeks. Independent validation of this specific claim is limited, as most published research on CGM for weight loss in non-diabetic adults comes from academic settings rather than commercial CGM platforms.
The underlying mechanism is plausible. Reducing postprandial glucose spikes and improving glycemic variability is associated with reduced hunger, lower insulin exposure, and better fat oxidation. People who use a CGM to identify high-spike foods and replace them with lower-glycemic alternatives are likely to see changes in body composition, particularly if elevated postprandial glucose was an unrecognized factor in their weight management difficulty.
What the data supports: people who discover that specific foods cause large glucose excursions (common examples include white rice, certain fruit juices, and some breakfast cereals) and replace them with alternatives can reduce both caloric intake and insulin stimulus simultaneously. The CGM makes this individualized information visible; most general dietary advice cannot account for individual glucose variation.
Concrete Insight Examples
Common revelations from first-time CGM users include: oat-based breakfasts causing significant spikes in people who assumed they were a healthy choice; certain fruits (mango, grapes) causing larger glucose responses than expected; alcohol causing delayed hypoglycemia the next morning that drives hunger; and short walks of 10 to 15 minutes after meals reducing postprandial peaks by 20 to 40 mg/dL compared to sitting. None of these are universal; the CGM reveals the individual pattern rather than confirming general rules.
Exercise timing is one of the higher-value insights for active users. Some people see significant glucose reductions from post-meal walks but minimal effect from the same activity done in a fasted state in the morning. Others see the opposite. The individual response is the information the CGM provides that general advice cannot.
The Dietitian Layer
A meaningful differentiator in Signos compared to using a bare CGM is access to registered dietitians through the platform. The 1:1 dietitian access is included in the subscription and enables users to bring their glucose data to a professional who can help interpret it in the context of their health goals and food preferences.
This matters because raw glucose data without professional context can lead to over-restriction of foods that are actually appropriate for a given individual’s metabolic profile. A large postprandial glucose response to sweet potato, for example, does not necessarily indicate that sweet potato is harmful for that person if the response stays within normal bounds and resolves quickly. Knowing whether a response is a concern or within range requires understanding the context, which the dietitian layer provides.
Pricing and Whether It Is Worth It
Signos is priced at $129 per month, billed monthly. This includes Dexcom Stelo sensors (one per month, covering 15 days of wear per sensor for a month of data), app access with AI coaching, and dietitian access. The Stelo sensor retails for approximately $89 for a two-pack (covering 30 days) at retail pharmacies; the Signos subscription includes sensors plus the coaching layer at a meaningful premium over DIY.
Insurance does not cover CGM for non-diabetic wellness use in the US currently. The $129 monthly commitment is not trivial. A reasonable evaluation framework: commit to three months, which is long enough to identify meaningful patterns, make behavioral changes based on the data, and assess whether the ongoing feedback is producing results. At $387 for a 3-month trial, you are paying for personalized metabolic insight that generic dietary advice cannot provide. If the patterns you discover lead to lasting behavioral changes, the ongoing subscription cost may be worth it. If the primary patterns are clear after 3 months and you can maintain the changes without ongoing monitoring, canceling after the initial period is reasonable.
Who Benefits Most
Signos is best suited to people who have struggled with weight loss despite sincere effort and want to understand their individual metabolic response to foods; people who suspect insulin resistance, pre-diabetes, or metabolic syndrome based on symptoms (energy crashes after meals, abdominal weight gain resistant to general dieting, strong carbohydrate cravings) but have not been formally diagnosed; and people who want to use objective biometric data rather than general dietary guidelines to guide food choices.
People in this profile often discover that specific foods they considered healthy are causing metabolic responses that work against their goals, and that other foods they avoided (based on general dietary advice) are actually fine for their individual glucose response. The CGM converts general principles into personalized data.
Who Should Skip Signos
Signos is a poor fit for people who are already metabolically healthy, eating a low-glycemic diet, and maintaining stable body weight without significant effort. For this group, a CGM is unlikely to reveal surprising glucose responses because their diet and metabolic function are already well-regulated. The information cost (both financial and cognitive) does not match the expected insight value.
People following a strict ketogenic or carnivore diet will see consistently low glucose readings with minimal variation; the CGM provides limited differentiated information in this context. People who are primarily looking for a short-term intervention rather than a behavior change tool will also find the subscription structure mismatched with their expectations.
The App Experience
Signos is available on iOS and Android. The dashboard shows glucose trends as a continuous line graph overlaid with events you log: meals, exercise, sleep, and stress. Color coding is clear: green for readings within your personalized target zone, yellow for approaching the edge, red for outside. The target zone is not a universal range but is customized by the Signos AI based on your first two weeks of data.
Meal logging is the friction point for most users. You can photograph food and use AI recognition, manually enter descriptions, or search a food database. None of these is frictionless, and accuracy depends on how carefully you log. Users who log accurately get more useful pattern data. This is a discipline issue, not a platform issue, but it is the most common reason users do not extract full value from the platform.
The AI coach generates daily insights highlighting patterns from the previous 24 to 48 hours. If your post-lunch glucose spike was significantly higher on the day you ate a particular meal, the app flags it. If your overnight readings were lower on nights you exercised in the evening, the app surfaces that. These insights are personalized rather than generic, which is the core value over simply buying a Stelo at retail and viewing raw data without analysis.
Dexcom Stelo vs Alternatives
The Dexcom Stelo is an over-the-counter CGM cleared by the FDA specifically for non-diabetic wellness use. It reads every 15 minutes, requires no calibration, and lasts 15 days per sensor. The Dexcom G7, which diabetics use, reads every 5 minutes and has a higher accuracy specification, but requires a prescription. For wellness purposes, the 15-minute reading interval of the Stelo is sufficient for identifying meal response patterns and daily trends.
Abbott FreeStyle Libre 2 and 3 are alternative CGMs used in Europe and other markets that Signos does not currently support. If you are outside the US or have access to different hardware, the raw sensor manufacturer app provides data without the coaching layer. Signos is Stelo-specific and US-focused at this point in its development.
Three-Month Evaluation Framework
The most honest evaluation framework is three months, approximately $387. In month one, the primary value is discovery: which foods spike your glucose, which activities reduce it, what your overnight baseline looks like. Most users have two to three genuinely surprising findings in the first month that change their behavior. In month two, implement the changes and observe whether the glucose patterns shift. In month three, assess whether those changes are producing results in weight, energy, or other markers you care about.
At three months, the key question is: have I already learned what I need to know, or is ongoing feedback still producing new insights? If the primary patterns are clear and the behavioral changes are established, canceling and maintaining new habits without ongoing monitoring is a legitimate option. The subscription is most valuable during discovery and the initial behavior-change period; ongoing indefinite monitoring is valuable for some users and unnecessary for others once the core patterns are identified.
More information and enrollment are available at Signos. The platform offers a quiz to assess whether CGM-based coaching is a likely fit before committing to a subscription.
Marko Jambrek
Licensed architect in Zagreb, 30 years of practice (Vastu + sustainable design). Writes about AI tools through a lens of order and long-term value, tests before recommending.
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