Bloodwork thatreads itself.
Bloodwork that reads itself, so the longevity crowd can see whether their stack is working.
Running the stack, guessing at the numbers.
The longevity and biohacking crowd run peptides, TRT and stacks of supplements, then get bloodwork back with no clear read on whether any of it is actually working.
Reading bloodwork properly takes expert knowledge most people do not have, so they are left guessing whether their enhancements are moving the numbers.
Expert knowledge, no expert required.
We are building an app that reads those results, treats each biomarker as a near real-time snapshot of what is happening inside them, and shows whether their enhancements are moving the numbers, in plain language.
No medical degree required. The app puts each number in context and turns it into something the user can act on, without needing to understand the science.
How we worked together.
Reads the results for you
Upload bloodwork and the app interprets each marker, so raw numbers become a clear picture.
Built for biohackers
Tuned for people running peptides, TRT and supplement stacks. It tracks the stack itself too: dose schedules, usage warnings and a live curve of what is currently in the system.
Near real-time feedback
Treats each biomarker as a current snapshot, so users can see whether what they are taking is moving the numbers.
Plain language, always
Expert-level interpretation delivered in language anyone can act on, plus a one-tap summary written for your own clinician.
Is it working?
Biomarkers in context
Every number placed against what good looks like, not just a lab reference range.
Is it working?
A direct read on whether a user's enhancements are moving their markers in the right direction.
Expert knowledge for anyone
The kind of read that used to need a specialist, made usable by the person taking the bloods.
Working prototype running end to end: upload a panel, get system scores and marker-by-marker insights.
Peptide tracking shipped: dose schedules, usage warnings and a live load curve of what is in the system.
Proof that AI can make specialist knowledge usable by anyone.
Proof that AI can take expert knowledge, the kind that used to need a specialist, and make it usable by anyone.
From prototype to product.
The prototype already runs end to end: upload a panel, get system scores and marker-by-marker insights, with peptide dose schedules and a live load curve shipped alongside.