Proteins have
more to say.
Much of it is written in the sugars attached to them.
We’re building the technology to read it, protein by protein.
The protein sequence stays the same.
The sugar patterns on it can change.
The sequence: what most tests count.
Sugars, added after the sequence by enzymes, with no gene as template.
The same protein, many glycoforms. Only some carry the pattern a test would ask about.
First genes. Then proteins.
Now the sugars on them.
The genome gave us the instructions: which proteins a cell can make. It was the first era of reading biology at scale, and it changed medicine.
Proteomics gave us the parts list: which proteins are present, and how much of each. Most clinical tests still live here, reporting an amount.
The sugars added after a protein is made carry much of the disease signal, and they have stayed hard to read outside specialist labs. That is the gap we’re closing.
Today's tests count proteins.
They don't read them.
Two samples can contain similar amounts of the same protein and still differ in the sugars attached to it. Today's tests miss that difference: most count the protein and ignore its sugars, and the few that detect a sugar can't tell which protein carries it.
Until now, reading the sugar on the protein took mass spectrometry in a specialist lab.
Conceptual illustration
A platform that reads the sugar patterns on proteins,
built to become routine clinical tests.
Pick a protein. Our platform measures how much of it is there, and what share of it carries a particular sugar pattern: the numbers a clinician can act on. Glycosylation is where we start; the same approach extends to other modifications.
Glycoform, not just amount
Each measurement reports the share of a protein carrying one defined glycoform, next to how much of the protein is there.
More answers from one sample
One sample, several glycoforms, read in parallel in a single run and returned as one result.
Built toward the clinic
Developed from the start for diagnostic use, on sample types and instruments that clinical laboratories already run.