Twin Health Raises $53M to Advance AI Digital Twin for Diabetes

Employers and well being plans look to Twin to satisfy rising demand for accountable GLP-1 methods and long-term price discount

Twin Well being, the AI digital twin pioneer for metabolic well being, at present introduced a $53M funding led by Maj Make investments of Denmark. The funds will speed up Twin’s enlargement amongst well being plans and Fortune 500 purchasers in retail, healthcare, monetary companies, expertise and manufacturing. This week, the corporate additionally introduced the outcomes of a landmark examine within the New England Journal of Drugs Catalyst that discovered Twin Well being’s AI digital twin is a extremely efficient therapy for diabetes and weight reduction, with out high-cost medicines.

“Diabetes and weight problems are among the many world’s largest well being challenges. For many years, we now have invested in cutting-edge options to handle the epidemic of metabolic illness,” mentioned Jeppe Christianson, CEO of Maj Make investments. “Twin Well being represents a paradigm shift in diabetes and weight problems care – one that’s exact to every particular person and scalable for employers and well being plans.”

A Smarter Path to Diabetes Reversal, Weight Loss and Metabolic Well being
Most metabolic well being options have did not ship clinically significant outcomes and have elevated healthcare spending as a result of they depend on medicines and excessive diets. Twin Well being’s breakthrough is the creation of a real-time AI digital twin for every member. The digital twin is constructed from 1000’s of information factors throughout biomarkers, behaviors, and preferences, reflecting not only a member’s metabolism but in addition their habits in vitamin, sleep, and bodily exercise. Twin supplies steady, high-performance take care of metabolic well being by optimizing biology and conduct in unison.

“Conventional options have centered on simply managing the illness,” mentioned Jahangir Mohammed, founder and CEO of Twin Well being. “Twin is completely different. We handle the basis causes of continual metabolic ailments to enhance and reverse diabetes. Members use their very own biomarker information—not inhabitants averages — to create their very own AI digital twin that guides them in a manner that’s participating, exact, and sustainable. We imagine metabolic well being is a steady situation, not an episodic occasion, and Twin delivers steady, 24/7 steerage to satisfy that actuality. We envision a future the place everybody has an AI digital twin to enhance their well being and scale back healthcare spend.”

Personalised and Human-Centered Care
Twin Well being’s distinctive “wholesome and completely happy” AI mannequin is delivered to life by combining expertise and devoted human care groups to deal with metabolic illness in actual time. Members obtain each day, personalised steerage and reside teaching to assist them obtain their well being targets —whether or not that’s reducing A1C, reaching a more healthy weight, or safely transitioning off medicines, together with GLP-1s. Twin’s human care goes far past teaching. It’s steady, clinically guided care that adapts to members in actual time. Twin is constructed on member alternative, providing personalised help to those that search a medication-free path to raised well being.

Constructed for Scale and Sustainable Outcomes
Twin Well being is a pacesetter in performance-based care, providing results-driven pricing for employers and well being plans. Purchasers solely pay when members obtain significant medical outcomes, corresponding to A1C discount, weight reduction, or treatment elimination. If milestones aren’t met, there’s no price. With hundreds of thousands of eligible lives throughout its buyer base, 90%+ retention, underneath 1% voluntary churn, and industry-leading conversion charges, Twin outperforms conventional care.

Meet Market Demand for Accountable GLP-1 Use
As GLP-1 utilization skyrockets, Twin Well being allows employers and well being plans to implement accountable, evidence-based applications. Twin identifies eligible members, helps applicable GLP-1 use the place clinically essential, and supplies a customized off-ramp to get rid of reliance on medicines over time–making certain members obtain and maintain their well being targets with out long-term treatment dependence.

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