January AI

What is January AI?

January AI provides health intelligence infrastructure that integrates metabolic, nutrition, and longitudinal data through a single API. It is relevant to digital health developers, clinicians, and health systems building personalized experiences or decision-support tools. Access requires signing up for an API key or contacting the sales team for platform and clinical deployments.

What are the features of January AI?

• Health Context Engine

  Normalizes fragmented clinical, lifestyle, and multi-omic data into a unified longitudinal record, reasoning across it using clinical evidence to return traceable outputs.
• Nutrition and metabolic APIs

  Provides endpoints including Meal Scan and glucose predictions for integration into external applications.
• Clinician Nutrition Monitor

  A clinical tool qualified on Mayo Clinic Platform that runs inside the Epic patient chart to support care teams.
• Multi-source data ingestion

  Connects 12 data sources including EHR records, claims, lab biomarkers, wearables, and multi-omics into a single member record.

What are the use cases of January AI?

• GLP-1 and weight management programs

  Tracking patient dietary behavior between clinical visits to personalize ongoing support.
• Digital health coaching platforms

  Adding nutrition tracking and predicted glucose-response curves without building the underlying prediction infrastructure.

How to use January AI?

1. Sign up

   Create an account on the developer portal via the web.
2. Create an API key

   Generate credentials to authenticate requests.
3. Integrate endpoints

   Begin calling the Meal Scan and glucose prediction APIs in your application.