January AI Unveils Major App Update, Becoming the First Free Health App to Combine One-Tap Medical Records, CGM-Free Predictive Glucose AI, and Wearable Data
The same health intelligence platform powering the app is now available to healthcare organizations, longevity clinics,
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January AI today launched a major evolution of its consumer health app, becoming the first free app to bring together one-tap electronic health record (EHR) integration, AI-powered predictive glucose technology that does not require a continuous glucose monitor (CGM), and connected wearable data in a single experience. At the center of the update is Jan, January AI’s AI health coach, which carries ongoing memory of a user’s health history and transforms connected health data into personalized coaching, insights, goals, recommendations, and reports.
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The January AI app brings together health records, AI-powered nutrition insights, predictive glucose modeling, and personalized health recommendations in a single platform, helping users better understand how daily behaviors impact long-term health.
The company also announced that its health intelligence platform and customized product solution suite are now available to healthcare organizations and digital health companies through enterprise API and SDK integrations as well as EHR-integrated solutions. Early adopters include QBio, a preventative-health company, which uses the platform to deliver personalized patient-level insights to clinicians at the point of care. January AI has also recently become a qualified solution on Mayo Clinic Platform. These integrations help partners put AI-driven, longitudinal health insights to work for their own patients and members.
The January AI app is available for free on iOS and connects medical records from more than 50,000 healthcare systems. With a single tap, users can import years of lab results, medications, diagnoses, and family health history, which is then combined with food logs, glucose tracking, sleep, activity, and biometric data from Apple Health, Libre CGM, Oura, and Whoop. Users can also upload health documents and reports, including DEXA scans, longevity assessments, microbiome test results, and other supplemental records, giving Jan additional context beyond traditional medical records to deliver even more personalized insights.
Jan, the app’s AI health coach, builds a comprehensive understanding of a user’s health as new data is added, delivering personalized, evolving insights rather than one-time answers. Through ongoing memory, Jan remembers important health information over time, such as new lab results, medication changes, or personal health goals, to provide increasingly personalized guidance. Users can ask Jan questions about their health, understand trends, receive personalized recommendations, and view biomarker and weight trend graphs, making it easier to take action and understand how their health evolves.
“Healthcare is not a one-time prompt,” said Noosheen Hashemi, founder and CEO of January AI. “Your health is shaped by years of lab tests, lifestyle habits, medications, diet, sleep, activity, and changing behaviors over time. General-purpose AI tools were not designed to understand how health signals evolve and relate to one another over time. January AI was.”
For Patients: A Free Health App That Knows Your Full Story
More than 40 million people worldwide now turn to AI tools daily to understand symptoms, interpret lab results, and ask questions about medications. But healthcare data remains fragmented, disconnected, and cumbersome to assemble. While people can manually download and upload health data into general-purpose AI tools, those systems were not designed to organize and interpret health data longitudinally. Even when users provide years of health history, most systems struggle to understand how signals evolve, interact, and change over time.
January AI was built to solve this exact problem. Once a user securely connects their health records from more than 50,000 healthcare systems, Jan can surface insights that account for the full arc of their health. Ask Jan about your cholesterol, and it won’t give you a textbook answer; it will respond in the context of your actual lab history, medications, lifestyle data, wearable data, and broader health patterns over time.
Central to the January AI experience is its pioneering predictive glucose technology: the world’s first AI-powered prediction of how food will affect an individual’s blood sugar, before they take a bite, without requiring a CGM. Users can log meals by photo, voice, barcode, or search across a database of more than 54 million foods. January’s AI-powered photo recognition makes meal logging fast while delivering highly accurate nutrition estimates. Nearly 200,000 people have used January AI to understand their unique metabolic responses to food.
The app’s Insights tab brings your clinical and lifestyle information together in a dynamic dashboard that highlights meaningful patterns, biomarker trends, and health priorities. The separate Plan tab helps users put insights into action with personalized daily nutrition, activity, and sleep goals. Users can also generate easy-to-understand health reports summarizing their progress over time, making it easier to understand changes in their health and have more informed conversations with their doctors.
For Healthcare Organizations: The Same Platform, Enterprise-Grade
The same AI platform powering Jan, predictive glucose, nutrition intelligence, and personalized health insights is now available to healthcare organizations, longevity clinics, employer health programs, and digital health platforms through app white-labeling, APIs, and SDKs. Enterprise partners can integrate January AI’s longitudinal health intelligence into their own platforms, giving their patients and members access to personalized, continuously updated insights, built specifically for healthcare, not adapted from general-purpose AI.
The company’s enterprise offerings continue to gain adoption across the healthcare ecosystem. Most recently, the company qualified as a solution on Mayo Clinic Platform, bringing longitudinal nutrition and food intake insights directly into Epic workflows and giving clinicians visibility into how patients’ dietary habits relate to medications, symptoms, and outcomes over time. January AI also powers personalized metabolic and health insights for partners, including preventative health-tech company QBio, through its API platform.
In addition, January AI was selected as one of the inaugural apps in the CMS Medicare App Library, expanding access to AI-powered digital health tools for millions of Medicare beneficiaries and their caregivers. The app is featured in the library’s ‘Diabetes and Obesity’ category, which highlights tools that help patients manage these chronic conditions. January AI has also signed the CMS ‘Kill the Clipboard’ pledge, a national initiative to end health data fragmentation and give patients seamless access to their own information.
About January AI
January AI is a precision health company using artificial intelligence to extend the world’s healthspan co-founded by Noosheen Hashemi, recently named to Forbes’ 50 Over 50 Women, and Dr. Michael Snyder of Stanford. The company pioneered the world’s first predictive glucose monitor, now used by 200,000 people, that predicts blood sugar responses to any food with a photo scan, barcode, voice, or search across a 54M+ food database. Today, the January AI Platform combines medical records, wearable data, food tracking, and personalized health intelligence into a connected experience powered by Jan, the company’s AI health assistant. January AI’s mobile app – boasting 50% 30-day new user retention – is available through its iOS app and to healthcare organizations through enterprise integrations. Recognized by CES, Fast Company, and TIME Magazine, January AI combines scientific depth with award-winning innovation to redefine how people, clinicians, and platforms use health data.
Download the January AI app: https://apps.apple.com/us/app/january-glucose-food-tracker/id6470235391
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