January AI
January AI is a US precision-health company that builds generative-AI digital-twin models to predict individual blood-sugar responses to food, delivered via a consumer app, an AI nutritionist, an enterprise Health Context Engine, and plug-and-play APIs for healthcare and consumer-health partners.
- Company typePrivate
- Founded2017
- HeadquartersMenlo Park, United States
- Headcount11–50
- GTM typeB2B and B2C
- OfferingSoftware
What January AI does
January AI (legal entity January, Inc.) is a US-based precision-health company founded in 2017 by entrepreneur Noosheen Hashemi and Stanford geneticist Michael Snyder. The company builds a generative-AI health platform that unifies continuous-glucose-monitor data, wearable telemetry, food-photo input, demographic data, lab results, and clinical records into individualized digital-twin models capable of predicting blood-sugar response and recommending personalized nutrition interventions, with peer-reviewed validation published in npj Digital Medicine. The product portfolio spans a consumer iOS app (January App, with an embedded AI nutritionist called Jan), the Health Context Engine enterprise platform for EHR-connected clinical workflows, and Enterprise Lifestyle Intelligence APIs that license food-recognition and glucose-prediction capabilities to healthcare providers, consumer health companies, and food-and-beverage firms.
The commercial model is dual-track: a freemium consumer app drives user acquisition at scale (200,000+ users reported; distribution extended via the CMS Medicare App Library to an estimated 69 million+ Medicare beneficiaries), while an enterprise motion monetizes through quote-based API licensing, white-label apps, and EHR-integration services sold directly to health systems, longevity platforms, and CPG partners such as Mars. Pricing is intentionally positioned as a low-cost alternative to traditional Diabetes Prevention Programs (under $100 per participant versus thousands). The company is incorporated in Delaware, headquartered in Menlo Park, California, and has raised roughly $43 million across equity rounds (2017, 2019, 2021) and a 2022 SEC-exempt offering of up to $19 million primarily in debt securities; investors named in public filings include AME Cloud Ventures, Felicis, HAND Capital, and SignalFire. Recent strategic activity includes a CES 2026 enterprise API launch, CMS Medicare App Library inclusion, and a September 2025 divestiture of the Eden's gut-health business to ZBiotics to focus on the AI platform core.
January AI firmographics
Firmographics- Name
- January AI
- Legal name
- January, Inc.
- Website
- https://january.ai
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- January AI is a US precision-health company that builds generative-AI digital-twin models to predict individual blood-sugar responses to food, delivered via a consumer app, an AI nutritionist, an enterprise Health Context Engine, and plug-and-play APIs for healthcare and consumer-health partners.
- Ownership category
- akta.pro rank
January AI industry classification
Industry- Product category
- Digital Health / Precision Health AI Platform
- akta.pro primary industry
- Healthcare & Wellness Personalization (HDAAAGAI)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
Keywords
Where January AI is headquartered
LocationHeadquarters
- HQ city
- Menlo Park
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
January AI business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations
Revenue model
- Enterprise API Licensing: Healthcare providers, longevity companies, and consumer health organizations pay to embed January AI's food recognition and glucose prediction capabilities into their own platforms via enterprise APIs. Pricing is likely enterprise/quote-based given the B2B nature and custom integration requirements.
- Consumer App (Freemium): The January consumer app offers a free tier for basic food scanning and glucose predictions. A premium 'January Pro' tier provides enhanced features. The free app drives user acquisition and engagement while converting high-value users to paid subscriptions.
- White-label/Branded Solutions: January offers white-label apps enabling healthcare organizations and enterprises to launch branded patient experiences powered by the Health Context Engine without building from scratch. This represents a service/license revenue stream.
- EHR Integration Services: Integration services connecting January's health intelligence into clinical workflows, surfacing patient insights, risks, and next-best actions inside existing EHR systems. Likely offered as professional services or ongoing subscription.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free consumer app with basic features |
| Subscription | Annual | Enterprise API and platform solutions |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels8 records
January AI product offering
Product offeringCore offering
January AI combines generative AI with continuous glucose monitor data, wearable integration, food logging, and demographic information to provide personalized metabolic health predictions. It offers a consumer-facing mobile app (the January App) for photo-based food scanning, glucose prediction, and AI nutritionist guidance, alongside an enterprise platform (Health Context Engine and Lifestyle Intelligence APIs) that enables healthcare providers and consumer health companies to embed food recognition and glucose prediction capabilities into their own products.
Product overview
January AI offers a dual-track product portfolio spanning consumer-facing mobile applications and enterprise infrastructure. The consumer January App delivers AI-powered personalized metabolic health insights — including glucose prediction, photo-based food logging, and an AI nutritionist (Jan) — without requiring a continuous glucose monitor. Enterprise offerings include the Health Context Engine (an AI intelligence layer for care teams and EHR-connected workflows) and the Enterprise Lifestyle Intelligence platform with plug-and-play APIs for embedding food recognition and glucose prediction into third-party health platforms. The company's technology is built on a science-validated Health AI Platform using generative AI trained on peer-reviewed clinical data, and the company also maintains a public Glycemic Index Database. January AI was listed in the CMS Medicare App Library, expanding access for Medicare beneficiaries.
Differentiator
Problem solved
Functional benefit
Products and services
- January App (Consumer Mobile App) The flagship consumer mobile app providing AI-powered personalized metabolic health insights. Users can scan food photos, track nutrition, receive glucose predictions, and access the AI nutritionist Jan without needing a CGM. The app integrates data from wearables, food logs, blood tests, and clinical records to deliver personalized health recommendations. Listed in the CMS Medicare App Library.
- Health Context Engine An AI intelligence layer for care teams and patients that unifies fragmented health data—clinical records, labs, medications, wearables, and nutrition—into a longitudinal view. Surfaces risks, trends, and insights grounded in each patient's data and delivers next-best actions to clinicians and personalized guidance to patients through dashboards, reports, and mobile apps. Built for EHR-connected workflows, custom apps, and care team dashboards.
- Enterprise Lifestyle Intelligence An AI-powered enterprise platform enabling healthcare providers, longevity companies, and consumer health organizations to deliver personalized nutrition experiences at scale. Includes plug-and-play APIs with AI-powered food scanning technology, glucose prediction, and lifestyle data analysis. Targets the healthcare and longevity sectors with easy-to-integrate APIs, EHR-connected workflows, and white-label app capabilities.
Quantifiable outcome
- Significant improvements in glycemic control and weight loss in actively engaged users (944-user retrospective cohort study)
- +3 more outcomes
Companies that use January AI
Customer profileNamed customers3 records
Segments5 records
Ideal customer profiles4 records
January AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability10 records
Feature7 records
January AI partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- MarscoreStrategic partnership where Mars leverages January AI's technology to predict blood sugar responses to food and generate product and consumer insights. Collaboration enables Mars to understand how their products affect individual metabolic responses and develop healthier products based on personalized nutrition data.
- TerracorePartnership with Terra health data platform to enable secure CGM data integration. Terra provides the infrastructure for January AI users to connect their Abbott Libre CGM devices, allowing personalized glucose predictions based on real-time glucose data while maintaining data privacy and user control.
- GenieMD Medical GroupcoreIndependent medical group providing telehealth clinical services to January AI users. GenieMD's network of US-based healthcare providers offers clinical consultations through the January platform, enabling telemedicine visits and medical guidance integrated with the app experience.
Scale indicators7 records
Recent moves7 records
Expansion highlights6 records
January AI competitors and assessment
Company assessmentDirect peers
- DayTwo: DayTwo delivers personalized nutrition recommendations using gut microbiome and glucose data; comparable AI-driven metabolic personalization model to January's digital-twin approach.
- Noom: Noom is a consumer weight-management and behavior-change platform with paid subscriptions; comparable on the personalized-diet/weight-loss subscriber funnel that January's consumer app targets.
- Levels Health: Levels provides a CGM-based metabolic health app with food logging and glucose insights; directly overlaps with January's consumer glucose-prediction use case and target customer.
- Virta Health: Virta is a clinically validated diabetes reversal and metabolic health program serving payers and employers; competes for the same chronic-condition management budget that January positions against traditional DPPs.
- ZOE: ZOE sells personalized nutrition insights combining CGM data, gut microbiome testing, and blood fat responses—the closest end-to-end consumer analog to January AI's personalized metabolic-health offering.
- Nutrisense: Nutrisense pairs CGM hardware with AI-driven nutrition coaching and food logging, overlapping January's photo-based food logging and personalized glucose response guidance.
Broad incumbents
- Dexcom: Dexcom is the leading CGM manufacturer with consumer-facing software (e.g., Stelo) and partnerships (e.g., ZOE); controls a key piece of upstream data infrastructure that January's BYOCGM feature depends on.
- Omada Health: Omada is a publicly relevant digital chronic-disease management and DPP provider serving employers and payers; the incumbent that January's sub-$100-per-participant pricing directly challenges.
- MyFitnessPal: MyFitnessPal is the largest consumer food-logging platform; overlaps on photo/ barcode food logging and nutrition tracking but lacks January's glucose-prediction and clinical positioning.
- Lingo (Abbott): Abbott's Lingo is a consumer CGM service launched by the largest CGM manufacturer; offers metabolic insights similar to January's BYOCGM value prop, with structural advantages in hardware supply.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
January AI social profiles
Digital presenceJanuary AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
January AI leadership team
Management profileNumber of profiles
Profiles6 records
January AI funding detail
Funding detailFunding overview
Funding rounds4 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
January AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about January AI
What does January AI do?
January AI combines generative AI with continuous glucose monitor data, wearable integration, food logging, and demographic information to provide personalized metabolic health predictions. It offers a consumer-facing mobile app (the January App) for photo-based food scanning, glucose prediction, and AI nutritionist guidance, alongside an enterprise platform (Health Context Engine and Lifestyle Intelligence APIs) that enables healthcare providers and consumer health companies to embed food recognition and glucose prediction capabilities into their own products.
Is January AI a public or private company?
January AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was January AI founded?
January AI was founded in 2017. It employs 11 to 50 people.
Where is January AI based?
January AI is headquartered in Menlo Park, United States, in the North America region.
How does January AI make money?
Four revenue lines are on record. Enterprise API Licensing is the primary driver. The others are consumer App (Freemium), white-label/Branded Solutions and EHR Integration Services.
Who are January AI's main competitors?
Direct peers on record are DayTwo, Noom, Levels Health, Virta Health, ZOE and Nutrisense. Broad incumbents are Dexcom, Omada Health, MyFitnessPal and Lingo (Abbott).
Does January AI have an API?
Yes. January AI offers Enterprise APIs enabling health systems, longevity companies, and healthcare organizations to embed food recognition and glucose prediction capabilities into their own platforms. The APIs include AI-powered food scanning technology, virtual glucose monitoring, generative AI models for glycemic response forecasting, and predictive food swaps. The solution is built on January's science-validated Health AI Platform and includes plug-and-play APIs. APIs are positioned for healthcare and longevity sectors.
What industry is January AI in?
January AI's product category is Digital Health / Precision Health AI Platform. Its primary akta.pro industry code is HDAAAGAI, Healthcare & Wellness Personalization, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs).