Twin Health Secures $53M to Expand AI Digital Twin for Metabolic Health

August 21, 2025
Twin Health has announced a $53 million investment to expand its AI digital twin technology for diabetes and obesity care, as stated in a press release.

Twin Health has announced a $53 million investment led by Maj Invest of Denmark to accelerate the expansion of its AI digital twin technology, announced in a press release. This funding aims to enhance Twin Health's reach among health plans and Fortune 500 clients across various sectors, including retail, healthcare, and technology.

The company has also shared results from a study published in the New England Journal of Medicine Catalyst, highlighting the effectiveness of its AI digital twin in treating diabetes and promoting weight loss without the need for high-cost medications. The digital twin technology provides personalized insights into metabolism, nutrition, sleep, and physical activity, offering continuous care for metabolic health.

Twin Health focuses on reducing healthcare costs by eliminating the reliance on medications and extreme diets. The company offers performance-based care, where clients only pay when members achieve significant clinical outcomes, such as A1C reduction or weight loss. This approach aligns with the growing demand for responsible GLP-1 strategies and long-term cost reduction in healthcare.

We hope you enjoyed this article.

Subscribe to AI Funding Brief

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more