January AI Unveils Enterprise AI Platform at CES 2026

January AI, a number one AI-powered well being platform delivering way of life and well being insights, at the moment introduced the launch of its Enterprise Lifestyle Intelligence answer, an providing that brings AI-powered meals recognition, glucose prediction, and customized suggestions to client well being platforms at scale. Built on January AI’s science-validated Health AI Platform, the answer permits healthcare suppliers and firms to ship extremely customized diet experiences, turning on a regular basis inputs resembling pictures, voice, and wearable information into actionable steerage.

This announcement at CES 2026 marks a strategic milestone for January AI, reflecting its evolution from a consumer-facing utility right into a core infrastructure companion for organizations searching for to remodel way of life information into actionable well being insights at scale.

January AI first gained recognition because the pioneer of the world’s first digital glucose monitor. Using AI to foretell how meals impacts blood sugar with out steady glucose displays or invasive sensors, this invention helped greater than 178,000 individuals perceive their predicted glucose response earlier than consuming based mostly on their particular person well being, demographics, and exercise. This breakthrough, amongst others, has been acknowledged 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 similar predictive functionality and strategy underpins January AI’s enterprise platform, supporting stay deployments with longevity companions and strategic initiatives with one of many nation’s main institutional healthcare programs.

At CES, January AI is showcasing its new plug-and-play Enterprise Lifestyle Intelligence APIs now out there to B2B companions, together with an AI-powered meals scanning expertise that has demonstrated industry-leading accuracy and reliability in comparative testing throughout 1,000 real-world meals photos. January AI’s meals scanner permits companions to embed ingredient-level breakdowns, detailed macronutrient evaluation, and predictive metabolic insights instantly into their very own platform, merchandise, and affected person experiences.

January AI’s CES 2026 presence additionally features a talking session by Founder and CEO Noosheen Hashemi as a part of the CES Digital Health programming. The session, Agentic AI in Health Care: Beyond the Hype, will happen on January 7, 2026, at 2 p.m. PST on the Venetian (Level 4, Marcello 4404). The dialogue will study how agentic, context-aware AI programs can assist extra knowledgeable, decision-ready healthcare purposes, whereas serving as a convening level for telehealth suppliers, GLP-1 innovators, and digital well being firms exploring next-generation diet and way of life intelligence.

Turning Everyday Lifestyle Data into Actionable Nutritional Insights

Lifestyle information, together with what individuals eat, how they transfer, and once they sleep, stay among the many most underutilized inputs in healthcare decision-making. January AI’s Enterprise Lifestyle Intelligence answer bridges that hole, remodeling on a regular basis behaviors into structured, interpretable insights that enterprises can really use. This basis permits organizations to seize high-quality dietary information with minimal friction, even throughout numerous cultural and dietary contexts, and combine it seamlessly into current workflows.

January AI’s Enterprise Lifestyle Intelligence APIs give builders direct entry to metabolic well being and meals information designed for seamless B2B integration. With these APIs, enterprise companions can:

• Search thousands and thousands of meals objects by identify, barcode, or pure language queries
• Scan meals utilizing January’s market-leading AI imaginative and prescient mannequin for nutrient detection, with industry-best accuracy
• Identify restaurant menu objects and globally numerous cuisines, like Murgh Makhani, by identify and site
• Create, retrieve, and handle meals logs throughout populations
• Enable predictive glucose insights that permit customers to see how meals might have an effect on blood sugar earlier than consuming, with out CGMs or sensors
• Recommend customized meals swaps aligned with particular person objectives, preferences, and restrictions

Together, these capabilities permit organizations to maneuver past retrospective monitoring towards predictive, prevention-first experiences that may assist engagement, personalization, and well being outcomes. Enterprise companions can discover these next-gen capabilities firsthand by downloading the January app on iOS.

January AI’s Enterprise Lifestyle Intelligence answer is delivered by means of tiered enterprise APIs, permitting companion organizations to undertake capabilities based mostly on their wants and readiness. Most companions begin with the Core tier, which offers photo-based meals scanning, barcode scanning, and entry to January AI’s 54-million-item international meals database. Additional tiers assist glucose prediction, glycemic evaluation, and superior metabolic insights.

“Healthcare has no shortage of data, but it lacks context,” mentioned 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 variety of use circumstances, together with:

• Health programs searching for higher visibility into affected person diet and habits between visits
• Longevity firms constructing customized, prevention-first packages
• Institutional companions integrating way of life information into inhabitants well being, analysis, and outcomes-based care fashions
• Consumer well being and wellness expertise firms integrating diet information into scalable digital experiences

By serving because the connective layer between way of life inputs and healthcare decision-making, January AI permits organizations to maneuver past static information assortment towards dynamic, insight-driven interventions.

For healthcare organizations, digital well being platforms, or companions focused on integration, please contact partnerships@january.ai.

For media focused on demos, media property, or interviews, please contact Max Borges Agency at januaryai@maxborgesagency.com.