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AI that knows the whole patient

January turns what happens between visits into earlier interventions and treatment decisions grounded in real life, not recall.

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Trusted by clinicians and health platforms worldwide

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Four products. One engine.

Take the finished products, or build with the same primitives, everything runs on the January AI Platform.

Lifestyle Intelligence APIs & White-LabelAdd photo food logging, sensor-free glucose predictions, and 54M verified foods to your platform with drop-in REST APIs and SDKs. Or deploy the full January app under your brand.Explore API solutions The FoundationJanuary AI PlatformThe common engine every January product runs on, the AI Health Context Engine’s medical-grade knowledge graph and reasoning layer. Grounded, cited, deterministic.See how it works January AppPhoto food logging, glucose predictions without a sensor, and an AI coach, used by 200,000+ people, rated 4.5★, and listed in the CMS Medicare App Library.Explore the January app Clinician Nutrition MonitorGLP-1 support and nutrition insight between visits, adherence, trends, and symptoms inside Epic. Qualified on Mayo Clinic Platform.Explore the monitor

Delivering real value for providers and patients

January connects patients and care teams with continuous, real-world visibility, so every intervention is timely, personalized, and grounded in lived data.

For providers

✓ Reduce time spent gathering dietary history
✓ Support better GLP-1 adherence and persistence
✓ Identify at-risk patients before outcomes deteriorate
✓ Enable population-level nutrition visibility at scale

For patients

✓ See how daily choices affect glucose and energy
✓ Get guidance between visits
✓ Share data with your care team
✓ Build lasting habits

Capture patient nutrition and blood sugar with a snap

The same technology that makes the January app effortless, photo food logging and sensor-free glucose predictions, is available as a drop-in API. Integrate it into your product, or ship the full experience under your brand.

Photo food logging

Users snap a meal and log it in seconds, no typing, no guessing.

Sensor-free glucose predictions

Predict glucose curves from food, activity, and context. No CGM required.

54M verified foods

Global cuisines, packaged brands, and restaurant menus, all in one place.

Drop-in APIs & SDKs

REST endpoints and SDKs for iOS, Android, and web. Integrate in hours.

Learn how to integrate

January app camera screen scanning a plate of foodJanuary app nutrition breakdown with sensor-free glucose prediction

This is what clinicians actually see

The Clinician Nutrition Monitor lives inside Epic, right on the patient's chart, so decisions like GLP-1 titration rest on real intake.

Loading nutrition trends…

Explore the clinician tools

Clinically meaningful behavior change, at scale

Time in Healthy Glucose Range, people with T2D

49.7% 57.4%

Every 5% increase in Time in Range is clinically meaningful for people with type 2 diabetes.

+13.8%

Fiber intake, sustained improvement in everyday eating, not a one-week change.

Measured across January app users

-16.7%

Sugar intake, the single largest dietary shift observed in the cohort.

Measured across January app users

74.4%

of participants lost weight while using the January app.

npj Digital Medicine, a Nature Portfolio journal, 2025

Turn health data into real-world impact.

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