Twin Health Announces $53 Million Investment

Twin Health has gained a $53 million investment led by Maj Invest of Denmark. The funds will accelerate Twin’s expansion among health plans and Fortune 500 clients in retail, healthcare, financial services, technology, and manufacturing.

The company also announced the results of a landmark study in the New England Journal of Medicine Catalyst that concluded its artificial intelligence (AI) digital twin is a highly effective treatment for diabetes and weight loss, without high-cost medications.    

“Diabetes and obesity are among the world’s biggest health challenges. For decades, we have invested in solutions to address the epidemic of metabolic disease,” Maj Invest CEO Jeppe Christianson said. “Twin Health represents a paradigm shift in diabetes and obesity care— one that is precise to each individual and scalable for employers and health plans.” ‍

Most metabolic health solutions fail to deliver clinically meaningful outcomes and have increased healthcare spending because they rely on medications and extreme diets. Twin Health’s breakthrough is the creation of a real-time AI digital twin for each member. The digital twin is built from thousands of data points across biomarkers, behaviors, and preferences, reflecting not just a member’s metabolism but also their habits in nutrition, sleep, and physical activity. Twin provides continuous, high-performance care for metabolic health by optimizing biology and behavior in unison.

“Traditional solutions have focused on just managing the disease,” Twin Health Founder/CEO Jahangir Mohammed stated. “Twin is different. We address the root causes of chronic metabolic diseases to improve and reverse diabetes. Members use their own biomarker data—not population averages—to create their own AI digital twin that guides them in a way that is engaging, precise, and sustainable. We believe metabolic health is a continuous condition, not an episodic event, and Twin delivers continuous, 24/7 guidance to meet that reality. We envision a future where everyone has an AI digital twin to improve their health and reduce healthcare spend.”

Personalized and Human-Centered Care

‍Twin Health’s unique “healthy and happy” AI model is brought to life by combining technology and dedicated human care teams to treat metabolic disease in real time. Members receive daily, personalized guidance and live coaching to help them achieve their health goals—whether it’s lowering A1C, reaching a healthier weight, or safely transitioning off medications, including GLP-1s. Twin’s human care goes beyond coaching. It is continuous, clinically guided care that adapts to members in real time. Twin is built on member choice, offering personalized support to those who seek a medication-free path to better health.‍

As GLP-1 usage skyrockets, Twin Health enables employers and health plans to implement responsible, evidence-based programs. Twin identifies eligible members, supports appropriate GLP-1 use where clinically necessary, and provides a personalized off-ramp to eliminate reliance on medications over time–ensuring members achieve and sustain their health goals without long-term medication dependence.

‍Twin Health’s AI digital twin technology creates a real-time model of an individual’s metabolism using data from smart devices, lab results, and meal logs. This model provides personalized guidance on nutrition, activity, sleep, and more, supported by a compassionate clinical team. Twin’s AI digital twin and human care work in synergy, providing a continuous new standard of care for metabolic health. For employers and health plans, Twin delivers $8,000-plus in annualized savings per member by safely reducing reliance on high-cost medications and lowering avoidable medical utilization. Twin’s clinical results for diabetes, weight loss and metabolic health co-morbidities, including hypertension, are peer-reviewed and published in top journals, including the New England Journal of Medicine Catalyst and those of the American Heart Association, American Diabetes Association, and American College of Cardiology.