January AI, a leading AI-powered health platform delivering lifestyle and health insights, today announced the launch of its Enterprise Lifestyle Intelligence solution, an offering that brings AI-powered food recognition, glucose prediction, and personalized recommendations to consumer health platforms at scale. Built on January AI’s science-validated Health AI Platform, the solution enables healthcare providers and companies to deliver highly personalized nutrition experiences, turning everyday inputs such as photos, voice, and wearable data into actionable guidance.
This announcement at CES 2026 marks a strategic milestone for January AI, reflecting its evolution from a consumer-facing application into a core infrastructure partner for organizations seeking to transform lifestyle data into actionable health insights at scale.
January AI first gained recognition as the pioneer of the world’s first virtual glucose monitor. Using AI to predict how food affects blood sugar without continuous glucose monitors or invasive sensors, this invention helped more than 178,000 people understand their predicted glucose response before eating based on their individual health, demographics, and activity. This breakthrough, among others, has been recognized with TIME’s Best Innovations of 2025, Fast Company’s Most Innovative Companies of 2025, and a CES 2025 Innovation Award in Digital Health. Today, this same predictive capability and approach underpins January AI’s enterprise platform, supporting live deployments with longevity partners and strategic initiatives with one of the nation’s leading institutional healthcare systems.
At CES, January AI is showcasing its new plug-and-play Enterprise Lifestyle Intelligence APIs now available to B2B partners, including an AI-powered food scanning technology that has demonstrated industry-leading accuracy and reliability in comparative testing across 1,000 real-world food images. January AI’s food scanner enables partners to embed ingredient-level breakdowns, detailed macronutrient analysis, and predictive metabolic insights directly into their own platform, products, and patient experiences.
January AI’s CES 2026 presence also includes a speaking session by Founder and CEO Noosheen Hashemi as part of the CES Digital Health programming. The session, Agentic AI in Health Care: Beyond the Hype, will take place on January 7, 2026, at 2 p.m. PST at the Venetian (Level 4, Marcello 4404). The discussion will examine how agentic, context-aware AI systems can support more informed, decision-ready healthcare applications, while serving as a convening point for telehealth providers, GLP-1 innovators, and digital health companies exploring next-generation nutrition and lifestyle intelligence.
Turning Everyday Lifestyle Data into Actionable Nutritional Insights
Lifestyle data, including what people eat, how they move, and when they sleep, remain among the most underutilized inputs in healthcare decision-making. January AI’s Enterprise Lifestyle Intelligence solution bridges that gap, transforming everyday behaviors into structured, interpretable insights that enterprises can actually use. This foundation enables organizations to capture high-quality nutritional data with minimal friction, even across diverse cultural and dietary contexts, and integrate it seamlessly into existing workflows.
January AI’s Enterprise Lifestyle Intelligence APIs give developers direct access to metabolic health and food data designed for seamless B2B integration. With these APIs, enterprise partners can:
- Search millions of food items by name, barcode, or natural language queries
- Scan foods using January’s market-leading AI vision model for nutrient detection, with industry-best accuracy
- Identify restaurant menu items and globally diverse cuisines, like Murgh Makhani, by name and location
- Create, retrieve, and manage food logs across populations
- Enable predictive glucose insights that allow users to see how food may affect blood sugar before eating, without CGMs or sensors
- Recommend personalized food swaps aligned with individual goals, preferences, and restrictions
Together, these capabilities allow organizations to move beyond retrospective tracking toward predictive, prevention-first experiences that can support engagement, personalization, and health outcomes. Enterprise partners can explore these next-gen capabilities firsthand by downloading the January app on iOS.
January AI’s Enterprise Lifestyle Intelligence solution is delivered through tiered enterprise APIs, allowing partner organizations to adopt capabilities based on their needs and readiness. Most partners start with the Core tier, which provides photo-based food scanning, barcode scanning, and access to January AI’s 54-million-item global food database. Additional tiers support glucose prediction, glycemic analysis, and advanced metabolic insights.
“Healthcare has no shortage of data, but it lacks context,” said Noosheen Hashemi, Founder and CEO of January AI. “Extensive research shows that modifiable lifestyle behaviors drive the majority of health outcomes, with some estimates as high as 80-90%. Yet lifestyle behaviors have historically lived outside clinical and enterprise systems. January AI exists to close that gap by turning real-world lifestyle signals into insights that health systems and partners can actually act on.”
Built for Health Systems, Longevity Companies, and Institutional Partners
January AI’s Enterprise Lifestyle Intelligence platform is designed to serve a wide range of use cases, including:
- Health systems seeking better visibility into patient nutrition and behavior between visits
- Longevity companies building personalized, prevention-first programs
- Institutional partners integrating lifestyle data into population health, research, and outcomes-based care models
- Consumer health and wellness technology companies integrating nutrition data into scalable digital experiences
By serving as the connective layer between lifestyle inputs and healthcare decision-making, January AI enables organizations to move beyond static data collection toward dynamic, insight-driven interventions.
For healthcare organizations, digital health platforms, or partners interested in integration, please contact partnerships@january.ai.
For media interested in demos, media assets, or interviews, please contact Max Borges Agency at januaryai@maxborgesagency.com.
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, and Dr. Michael Snyder of Stanford, the company began with a consumer app, now downloaded nearly 200,000 times, that predicts blood sugar responses to any food with a photo scan, barcode, voice, or search across a 54M+ food database. January AI is available to consumers as a mobile app and to healthcare organizations through an API. Recognized by CES, Fast Company, Inc., and The Wall Street Journal, January AI combines scientific depth with award-winning innovation to redefine how people, clinicians, and platforms use health data.
januaryai@maxborgesagency.com
Max Borges Agency
