• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • Advertise
  • Subscribe

Drug Delivery Business

  • Clinical Trials
  • Research & Development
  • Drug-Device Combinations
  • FDA
  • Pharmaceuticals
  • Policy
  • Reports
    • Diabetes Technology Innovations Special Report
    • Continuous Glucose Monitoring (CGM) Market Report

Twin Health raises $53M for digital twin tech for diabetes, weight loss

August 22, 2025 By Sean Whooley

Twin Health AI Digital Twin diabetes weight loss (1)AI digital twin developer Twin Health announced that it brought in a $53 million investment round, led by Maj Invest of Denmark.

Mountain View, California-based Twin Health says the funds can help accelerate its expansion. It hopes to widen its reach among health plans and clients in retail, healthcare, financial services, technology and manufacturing.

This fundraising follows landmark study results that found Twin Health’s AI digital twin is a highly effective treatment for diabetes and weight loss, without high-cost medications. That study was published in the New England Journal of Medicine Catalyst.

Twin Health says it built its real-time digital twin from thousands of data points across biomarkers, behaviors and preferences. It reflects not just a user’s metabolism but also habits in nutrition, sleep and physical activity. The technology provides continuous high-performance care for metabolic health by optimizing biology and behavior in unison.

By combining technology and dedicated human care teams, the AI model comes to life to help treat metabolic disease in real-time. Members receive daily personalized guidance and live coaching to help achieve their goals. Those could include lowering A1C, reaching a healthier weight or safely transitioning off medications, including GLP-1s.

“Traditional solutions have focused on just managing the disease,” said Jahangir Mohammed, founder and CEO of Twin Health. “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.”

Learn more about the diabetes tech space by downloading our free Diabetes Technology Special Report.

Filed Under: Business/Financial News, Diabetes, Featured, Funding Roundup, Patient Monitoring, Technology Tagged With: Twin Health

IN CASE YOU MISSED IT

  • Dexcom CFO to expand into COO role
  • Beta Bionics insulin patch pump scores FDA clearance
  • Medtronic moves to divest final stake in MiniMed
  • Dexcom adds former Stryker CFO to board
  • MiniMed wins CE mark for next-gen insulin pump, ups revenue guidance

About Sean Whooley

Sean Whooley is an associate editor who mainly produces work for MassDevice, Medical Design & Outsourcing and Drug Delivery Business News. He received a bachelor's degree in multiplatform journalism from the University of Maryland, College Park. You can connect with him on LinkedIn or email him at [email protected].

Primary Sidebar

“ddb
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest news and trends happening now in drug delivery.
MDO

MEDTECH 100 INDEX

Medtech 100 logo
Market Summary > Current Price
The MedTech 100 is a financial index calculated using the BIG100 companies covered in Medical Design and Outsourcing.
MDO

Footer

Drug Delivery Business News Logo

MassDevice Medical NETWORK

MassDevice
DeviceTalks
Medical Tubing + Extrusion
Medical Design & Outsourcing
MedTech100 Index
Drug Discovery & Development
Pharmaceutical Processing World
Medical Design Sourcing
R&D World

DRUG DELIVERY BUSINESS NEWS

Subscribe to Drug Delivery’s E-Newsletter
About
Contact us
Listen to our Weekly Podcasts
Advertise

Copyright © 2026 · Arrowfly LLC. All Rights Reserved.
The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Arrowfly.

Privacy Policy | Terms & Conditions | RSS