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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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01Products

Four products. One engine.

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

For care teamsClinician Nutrition MonitorGLP-1 support and nutrition insight between visits, adherence, trends, and symptoms inside Epic. Qualified on Mayo Clinic Platform.Explore the monitor 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 For buildersB2B APIs & White-LabelEvery capability as REST endpoints, glucose prediction, health context, and a 54M verified-food database, or the full consumer app under your brand.Explore API solutions For consumersJanuary 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.Try it free today

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, energy, and cardiometabolic health
✓ Get personalized guidance between visits, not just at appointments
✓ Share real-world data with care teams for more informed conversations
✓ Build lasting habits that improve outcomes and quality of life

02In the chart

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, not recall.

Clinician Nutrition Monitor dashboard showing food-logging adherence, nutrient targets, and a nutrient-trends chart with patient-reported symptoms overlaid on the calorie curve

Explore the clinician tools

03Evidence

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 AI-supported CGM app.

npj Digital Medicine, a Nature Portfolio journal, 2025

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