A personal digital twin for care navigation.
The same simulation handled two very different journeys. One was proactive lifestyle change and metabolic improvement. The other was navigating a complex care path through the system. Two outcomes that look nothing alike. The methodology underneath is the same.
After a year on the prototype, one user lost eighteen pounds in the first two months and gained twenty pounds of muscle. Annual primary care labs showed a 70% drop in triglycerides and a 20% drop in total cholesterol, with no GLP-1s used. The plan adjusted week by week to what was actually working. Footnote: One early user's outcome. We're running cohort pilots to test whether this generalizes.
A family member spent months navigating the system for a complex set of symptoms. Each visit added a diagnosis without producing a plan that addressed the underlying pattern. When we eventually tracked the symptoms back to a specialty that fit, the referral process kept stalling. Morgen short-circuits that loop by simulating the pattern, identifying the right specialty, finding one in-network, and preparing the referral with the documentation it needs.
One early user's outcome. We're running cohort pilots to test whether this generalizes.
Morgen finds the care path most likely to work for you, then walks you through it step by step.
How it works for you → For partnersMorgen turns plan-level guidelines into individual-level follow-through. Built for population health teams who need cleaner, more testable claims.
How it works for partners →Powered by trust, agency, and their own future self.
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