Lingo Continuous Glucose Monitor (CGM). Made by Abbott. Optimize Your Nutrition with Real-time Glucose Data & Insights. 1 Lingo biosensor lasts up to 14 Days*. Works with iOS and Android. US Only.

HSA/FSA eligible. No prescription needed.
24/7 GLUCOSE TRACKING. See your glucose response to food, exercise, sleep, and other lifestyle factors via the Lingo app.
OPTIMIZE YOUR NUTRITION. Discover which foods work for you and those that don't. The Lingo app shows you how specific meals and other factors impact your glucose, so you can learn from your insights and build healthier habits.
NAVIGATE PREDIABETES WITH A NEW VIEW OF YOU. More time in healthy glucose range is linked to lower diabetes risk. Three out of four users with prediabetes say Lingo was effective in helping to achieve their health goals¹.
HEALTHY GLUCOSE SUPPORTS HEART HEALTH. What you eat matters to your glucose and your heart. Keeping your glucose in a healthy range (70–140 mg/dL) more often can help protect your heart from heart disease²⁻⁴.
FREE REPLACEMENT. If your Lingo Biosensor stops working before you’ve used it for 14 days, for whatever the reason, Lingo will replace it for free.
NO FINGER PRICKING. The Lingo Biosensor attaches painlessly** to the back of your arm, is comfortable to wear, and water‑resistant.
WHAT YOU GET: 1 Lingo glucose monitor with up to 2 weeks* of minute-by-minute continuous glucose tracking and full access to the Lingo app as part of a complete glucose monitoring system
SYNC WITH HEALTH APPS. Compatible with iOS and Android. Sync Lingo with Apple Health or Health Connect to auto-log workouts in Lingo and see glucose data++ in those health apps

DISCLAIMER: The Lingo Glucose System is intended for users 18 years and older not on insulin. It is NOT intended for diagnosis of diseases, including diabetes. Don’t use if you have problematic hypoglycemia: The Lingo Biosensor hasn’t been designed for this population. Consult with your healthcare professional to discuss which Abbott product is right for you.The Lingo program does not guarantee that everyone will achieve the same results as individual responses may vary. Consult your healthcare professional before making changes to your diet or exercise regimen or if you have an eating disorder or a history of eating disorders.© 2026 Abbott. All rights reserved. The biosensor shape and appearance, Lingo, and related brand marks are marks and/or designs of the Abbott group of companies in various territories. Other marks are the property of their respective owners.References *A study was conducted to assess the biosensor life where 77.1% of biosensors lasted the full 14 days. In other words, when using the product per the packaging labeling, approximately 22.9% of biosensors may not last for the full 14 days. 14.7% of biosensors may last less than 11 days. ** In a study conducted by Abbott, 91.6 % of users surveyed (n=119) agree that it was painless to apply the biosensor. Data on file, Abbott *** Alva S, et al. 2022. https://pubmed.ncbi.nlm.nih.gov/32954812/ + A typical glucose range for healthy individuals is 70–140mg/dL. Fluctuations beyond 140 mg/dL or under 70 mg/dL may occur from time to time and are to be expected. ++ Lingo does not measure or send blood glucose data to any health apps. Lingo sends glucose data measured via interstitial fluid to health apps. 1. Lingo OTC CGM User Study. 50 adults in the US, ages 30–65 with self-reported prediabetes after four weeks of Lingo use. October–December 2025. Data on file. Lingo by Abbott. 2. Selvin E, et al. Glycemic control and coronary heart disease risk in persons with and without diabetes: the atherosclerosis risk in communities study. Arch Intern Med. 2005 Sep 12;165(16):1910-6. https://pubmed.ncbi.nlm.nih.gov/16157837/ 3. Pfister R, et al. No evidence of an increased mortality risk associated with low levels of glycated haemoglobin in a non-diabetic UK population. Diabetologia. 2011 Aug;54(8):2025-32. https://pubmed.ncbi.nlm.nih.gov/21584793/ 4. Sakurai M, et al. HbA1c and the risks for all-cause and cardiovascular mortality in the general Japanese population: NIPPON DATA90. Diabetes Care. 2013 Nov;36(11):3759-65. https://pubmed.ncbi.nlm.nih.gov/23877989/ 5. Lingo OTC CGM User Study. 50 adults in the US, ages 30–65 with self-reported prediabetes after four weeks of Lingo use. October–December 2025. Data on file. Lingo by Abbott. 6. Data on file, Abbott Diabetes Care, Inc. Based on the number of users worldwide for the FreeStyle Libre portfolio compared to the number of users for other leading personal use sensor-based glucose monitoring systems. 7. State of Wellness Lingo Member Survey. 179 Lingo members in the U.S. and U.K. 2024 Dec - 2025 Jan. Data on file. Lingo by Abbott. 8. Chekima K, et al. Utilising a real-time continuous glucose monitor as part of a low glycaemic index and load diet and determining its effect on improving dietary intake, body composition and metabolic parameters of overweight and obese young adults: A randomised controlled trial. Foods. 2022 Jun 15;11(12):1754. https://pubmed.ncbi.nlm.nih.gov/35741952/ 9. Breymeyer KL, et al. Subjective mood and energy levels of healthy weight and overweight/obese healthy adults on high-and low-glycemic load experimental diets. Appetite. 2016 Dec 1;107:253-259. https://pubmed.ncbi.nlm.nih.gov/27507131/ 10. Centers for Disease Control and Prevention. National Diabetes Statistics Report [Internet]. Atlanta (GA): CDC; 2025 [cited 2025 Oct 16]. Available from: https://www.cdc.gov/diabetes/php/data-research/index.html 11. Lingo Member Survey. 845 Lingo members in the U.S. 2024 Nov 15-Dec 16. Data on file, Lingo by Abbott. ALB-02208 Thought Leadership_Demographic Cross Tab_US. 12. Bermingham KM, et al. Menopause is associated with postprandial metabolism, metabolic health and lifestyle: The ZOE PREDICT study. EBioMedicine. 2022 Nov;85:104303. https://pubmed.ncbi.nlm.nih.gov/36270905 Westcott WL. Resistance training is medicine: effects of strength training on health. Curr Sports Med Rep. 2012 Jul-Aug;11(4):209-16. https://pubmed.ncbi.nlm.nih.gov/22777332/ 14. Marco A, et al. Time above range for predicting the development of type 2 diabetes. Front Public Health. 2022 Dec 8;10:1005513. https://pubmed.ncbi.nlm.nih.gov/36568777/ 15. Dehghani Zahedani A, et al. 2021, PMID: 34047962 16. Basiri R, Cheskin LJ. 2024, PMID: 39683399 17. Aronson R, et al. 2025, PMID: 40757453 18. Gradiser M, et al. 2026, PMID: 41700684