Frequently asked questions

January is an AI-powered metabolic health platform. It brings together nutrition, activity, sleep, glucose, and clinical data to generate personalized, actionable health insights, including predictions of how a food is likely to affect your blood sugar before you eat it.

Inside the app you also have Jan, your AI health coach, who can explain your data, surface patterns, and help you understand what to do next.

Search for "January" in the App Store and install the January app.

January can help anyone who wants to understand how their daily behaviors affect their health, whether you are managing a specific condition or optimizing your overall metabolic health. January becomes more useful the more data you connect.

January has four main tabs. Jan is the home screen where you chat with your AI health coach. Plan holds your nutrition, activity, and sleep targets, daily metrics, and scores. Insights shows your health insights and patterns over time. Logs holds your food log history and fasting programs.

Settings opens from the gear icon in the upper-right corner of the Jan tab.

Tap the yellow plus button in the bottom navigation, then choose the logging method that fits: Describe to type or speak a meal quickly, Search for single, branded, grocery, or restaurant items where precision matters, Photo Scan when the food is in front of you, and Barcode Scan for packaged foods.

Review the detected foods and macros, adjust portions if needed, then save.

Describe is fastest and works well for mixed or compound meals such as "eggs, tortilla, cheese." Search is the most precise for a single food, branded item, or restaurant item. Photo Scan reads a meal photo and returns the meal name, ingredients, macronutrients, and glucose impact. Barcode Scan is best for packaged foods.

No. Jan cannot log food on your behalf. Jan will point you to the right logging flow instead. Once a meal is logged, Jan can help you interpret and discuss its glucose impact.

Go to the Logs tab. There you can view past food logs, edit or delete entries, update meal times, and review macros and calories.

Individual foods, such as an apple or a branded product, use Food Compass 10, a nutrition quality score from 1 to 10 developed by Tufts University where higher scores are generally more health-promoting. It looks at factors like nutrient density, fiber, protein quality, added sugars, sodium, processing, ingredients, and beneficial food components.

Complex or multi-food meals use the January food score, which factors in the projected glucose impact of the meal along with calories, carbs, sugar, fiber, protein, and other macronutrients.

January's predictive AI is trained on millions of data points from thousands of users and estimates your likely blood sugar response to food. The model considers the full macronutrient profile of a food, not just carbs, along with your demographics, health context, activity-related context, and other data available in January.

For users who do not wear a CGM, predictions start from basic demographics including height, weight, age, sex, and health status to build an initial glucose response model.

Predictions go beyond carb counts and generic food scores. They are personalized, become more personalized as you connect more data, work without a CGM, and can be tuned more closely to your metabolism with a short period of CGM use. January's approach, described in its research as a virtual CGM experience, is supported by peer-reviewed research, internal clinical validation across multiple research phases, and issued patents covering biophysical modeling and response prediction.

Two ways. Ask Jan directly in chat, for example "How will ice cream impact my blood sugar?" or "Which is better for my blood sugar: ice cream or sorbet?" Jan will show a projected glucose curve, an evaluation, and supporting detail. You can also see predictions through the food flows: Search, Describe, Photo Scan, and Barcode Scan.

Foods are rated as low, moderate, or high impact so you can compare options before you eat.

Yes. Wearing a CGM and logging food for about five days, a process called AI Training, helps January tune predictions more closely to your metabolism. Connecting more data sources also improves personalization.

Glucose predictions are not available for type 1 diabetes and are not intended for insulin dosing. Predictions start from an assumed fasting baseline and do not use your current glucose reading as the starting point, whether or not you are wearing a CGM.

Jan tab, gear icon, scroll to Data, then Apple Health. Apple Health can provide steps, calories burned, sleep, VO2 max, and heart rate. Wearables that sync through Apple Health may also contribute data through that connection.

Jan tab, gear icon, scroll to Data, then Wearable devices, then select Whoop or Oura. Both can contribute detailed sleep and activity metrics, including sleep stages, sleep efficiency, recovery or readiness scores, heart rate, HRV, steps, and intensity duration.

Libre CGMs connect directly: Jan tab, gear icon, scroll to Data, then CGMs. Enter practice ID tryVital in the Libre app, return to January, and enter your Libre account email address. Libre integration is currently supported for users based in America.

Non-Libre CGMs connect through Apple Health: open the CGM's native app, turn on Apple Health sharing for blood glucose, then connect Apple Health in January. Availability varies by device, app, and region, and data routed through Apple Health may be delayed rather than real time.

For devices like Garmin or Fitbit, connect January to Apple Health and give the wearable's app permission to write to Apple Health. Some apps, including Fitbit, may not support writing to Apple Health; third-party apps can help bridge that gap.

Yes. You can connect multiple supported wearables, for example a Whoop, an Oura ring, and a Libre CGM. January normalizes, prioritizes, and de-duplicates across sources for accuracy.

Jan tab, gear icon, scroll to Data, then Medical records. You can sign in through an individual provider portal or verify your identity through supported identity tools such as ID.me or CLEAR where available.

Medical records are foundational. They add lab results, diagnoses, medications, and medical history, which gives January the clinical context needed for deeper and safer personalization.

Yes. Jan tab, gear icon, scroll to Data, then Health documents, then take a photo or upload files. You can add supplemental results such as microbiome tests, DEXA scans, and longevity reports.

Processing can take a couple of minutes, especially for larger files, and Jan only references processed health-related documents. To include uploads in your health report, open the Insights tab and select Refresh your insights.

Insights shows your health patterns over time. With medical records connected you may see health goals, biomarker trend graphs, key insights across sleep, activity, food, glucose, and clinical data, and actionable next steps.

Lifestyle Insights is a sub-section with nutrition, activity, and sleep trends, logged foods that spiked your glucose, and your weight graph. Open the Insights tab, scroll down, and tap View lifestyle insights.

Three daily scores evaluate a full day. Nourish Score covers nutrition behaviors such as calories, macros, fiber, glucose impact, and eating window. Move Score covers activity such as steps, active calories, total calories burned, and post-meal walks. Recharge Score is generated from compatible wearables such as Whoop and Oura and often includes sleep duration, efficiency, consistency, and stages.

Jan can answer app questions, explain your data and trends, incorporate CGM data when available, answer questions about connected sources, and predict glucose response to food. Examples include "How did I eat today?", "How has my A1c been trending?", "Did my walk after lunch help my glucose?", and "What does this insight mean?"

Jan may also remember details you share for future conversations, including medications, conditions, allergies, goals, and dietary preferences. Remembered details do not update your structured Personal details or Health profile, so update those separately in Settings.

January includes five programs: Beginner (12-hour fast), Time-Restricted (16-hour fast), 5:2, Eat-Stop-Eat, and OMAD. Choose a program and January provides guidance and reminders to start and stop your fast. You can change programs at any time. Find fasting in the Logs tab.

Settings opens from the gear icon on the Jan tab. You can update personal details such as name, date of birth, weight, height, activity level, ethnicity, and gender, and your health profile including health goals, active conditions, medications, supplements, glucose range, dietary preferences, and allergies or sensitivities.

Settings is also where you connect wearables, medical records, and health documents, manage your membership, review the Privacy Policy and Terms of Service, send feedback, and learn more about January's science.

Open Settings, then Account Settings. From there you can change your password, log out, or delete your account.

January is free to download with limited functionality. The free tier includes 5 Photo Scans and 5 Describe logs per week, basic insights, personalized daily nutrition, activity, and sleep targets that cannot be customized, and customizable allergies, restrictions, and dietary preferences such as vegetarian, keto, or pescatarian.

A paid membership adds unlimited logging tools including Photo Scan and AI Describe, custom macronutrient, activity, and sleep targets, and all fasting programs.

Take a screenshot, tap Report a Bug, and add a description. Responses typically arrive within 24 to 48 hours. Improvement suggestions are just as welcome as bug reports.

Email support@january.ai. The team aims to respond to all emails within 48 hours.

January is SOC 2 compliant and HIPAA compliant, supported by end-to-end encryption, secure infrastructure built for health data, and regular security audits and penetration testing. January has also received the DIME seal of approval.

You choose what data to connect, you can see what data is being used, and you can delete your data at any time.

Open Settings, then Health Reports, then Delete all data and reports. This removes all medical data and generated health reports.

January's AI is designed specifically for health use cases and is built to ground insights in structured health data rather than unsupported conclusions.