Built On Science.
Powered By AI.

At January AI, science isn’t a feature — it’s our foundation. Every insight, prediction, and recommendation we deliver is rooted in peer-reviewed research and developed by world leaders in biology, medicine, and artificial intelligence.

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Innovation You Can Trust

Founded by Noosheen Hashemi, a Silicon Valley entrepreneur and philanthropist, and Dr. Michael Snyder, Chair of Genetics at Stanford University, January AI unites cutting-edge science with world-class technology.

Watch Dr. Snyder's recent episode on the Huberman Labs podcast.  

January's Impact

Our cutting-edge research combines metabolic science, behavioral psychology, and world-class AI. After clinically proving that CGMs lead to weight loss, we successfully proved that AI can enable sustained behavioral change. Our peer-reviewed research validates what we’ve seen firsthand — that users experience higher glucose control, weight loss, and more.

The Results

Users without diabetes
Users with Type 2 diabetes
16.2
%

Reduction in caloric intake

-4.1 lbs

Mean weight reduction (12-wks)

58
%

Improved Time in Range (70-140 mg/dL)

11.6
%

Increased relative protein intake

22.8
%

Increased relative fiber intake

4.2
%

Reduced carbohydrate intake

7.3
%

Reduction in caloric intake

-9.4 lbs

Mean weight reduction (12-wks)

63
%

Improved Time in Range (70-140 mg/dL)

*Improvement in estimated A1c=0.28%
10.6
%

Increased protein intake relative to total calorie

23.9
%

Increased fiber intake relative to total calorie

4.4
%

Reduced carbohydrate intake

Research That Stands Up To Scrutiny

Our innovations don’t live in a black box. They’re shared openly with the scientific community through peer-reviewed journals and academic collaborations. January AI has published dozens of studies demonstrating the accuracy and effectiveness of our approach—from predicting blood sugar responses without a sensor to advancing nutritional science at scale.

Read Our npj | Digital Medicine PaperRead Our ADA Paper

Meet The Experts Behind Our Research

Dariush Mozaffarian, MD, PhD
Scientific Advisor

Dean at the Tufts Friedman School of Nutrition Science and Policy, and Professor of Medicine at Tufts Medical School

Tracey McLaughlin, MD, MS
Scientific Advisor

Professor of Medicine, Stanford School of Medicine, Endocrinology, Gerontology, & Metabolism

Nima Aghaeepour, PhD
Scientific Advisor

Assistant Professor, Stanford School of Medicine. Artificial Intelligence, Machine Learning, and Multiomics Integration for Clinical Immunology

Justin Sonnenburg, PhD
Scientific Advisor

Associate Professor of Microbiology & Immunology, Stanford, NIH Director’s Pioneer Award Winner

Dalia Perelman
Scientific Advisor

Research Dietitian and study coordinator at Stanford University

Eric Martens, PhD
Scientific Advisor

Associate Professor University of Michigan Medical School Department of Microbiology & Immunology

Parag Mallick, PhD
Scientific Advisor

Founder at Nautilus Biotechnology and Associate Professor at Stanford University

Jeffrey Blumberg, PhD
Scientific Advisor

Professor Emeritus, Friedman School of Nutrition Science and Policy at Tufts University and Chair, American Nutrition Association Board of Directors

Pieter Abeel, PhD
AI Advisor

Professor UC Berkeley, Founder/President/Chief Scientist covariant.ai (formerly Embodied Intelligence), Founder Gradescope

Jure Leskovec, PhD
AI Advisor

Associate Professor of Computer Science, Stanford University, Chief Scientist at Pinterest, and investigator at Chan Zuckerberg Biohub

Sergey Levine, PhD
AI Advisor

Assistant Professor, Department of Electrical Engineering and Computer Sciences, UC Berkeley.

Zico Kolter, PhD
AI Advisor

Professor and Director of the Machine Learning Department with the School of Computer Science at Carnegie Mellon University

Get In Touch To Learn More

Turn health data into real-world impact with January AI’s precision health technology. Whether you’re building a new product or enhancing an existing platform, our team will help you integrate fast, scale confidently, and deliver measurable results.

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