We’re building the
future of personalized
metabolic health care
And we’re starting with a search and recommendation engine for your metabolism. Sign up to follow our progress, learn about beta launch opportunities, and updates to the app.
Long heading is what you see here in this feature section
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Perfect metabolic recall to answer all your questions
We integrate previously unused data, and apply machine learning to give you personalized information about how your body breaks down carbs.
Turn mealtime guesstimating into data driven decision making
We link CGM, insulin pump, apple health, and location data to create a new model for understanding, analyzing, and searching, metabolic history.
Constantly improving and optimizing with your provider
We offer new tools for your provider to improve treatment for your daily routine (and your nights out 😉)
App Features
Integrating all your unused device data
We've integrated all of your diabetes data, along with your Apple health and geolocation data to get a complete picture of your metabolism.
Search by labels and location with ease
We've created new ways to explore your data through time, location, and labels. Think Yelp for your metabolism.
Automated habit recognition
Our automated event creation algorithm will help to track, and keep track, of your routines to reduce the time you have to spend logging data.
Stay in the loop with Replica Health
Sign up to follow our progress, learn about beta launch opportunities, and updates to the app.
Our team
We're a group of builders looking to increase time in range, and reduce time on mind.
Sam is a Type-1 diabetic who understands the disease and it's technological evolution intimately. He studied Machine Learning at the Courant Institute @ NYU, and Mathematics at Lewis and Clark College. Previously, he designed the core anomaly-detection technology behind VoteShield (backed by Eric Schmidt & Reid Hoffman), where he scaled the team to 15. Prior to VoteShield, Sam was an ML engineer at various startups and studied blood glucose prediction algorithms and data visualization at NYU.
Brad watched his grandmother care for his grandfather for over 3 decades, and the painstaking work she had to put in every single day. He studied Psychology at Dartmouth College (BA) and Human Centered Design and Engineering at University of Washington (MS). He led product management, design, and research work streams for fortune 500 companies like Nike, Verizon, and Samsung while at R/GA.
Mike is a board certified Internist and Endocrinologist at a major academic hospital in NYC. He is also a patient, he was diagnosed with type 1 diabetes at age 9. Natter was awarded the Endocrinology Fellow of the year award both years of his fellowship as well as the fellow’s teaching award in 2022. Additionally, he was awarded the Courage to Heal award by Jefferson Medical College in 2023. He has lectured across the globe and brings experience from both sides of the exam table, as a patient and a physician.
Our Partners & Affiliations
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