Untargeted metabolomics that covers small molecules, lipids and peptides in one run. Pyxis names compounds beyond the reference library and returns concentrations you can compare across studies and instruments.
Interpreted results in the time of a genome, from samples or from your own instrument.
Example report
Human plasma · illustrative values
Compound
Identified by
µM
Citrulline
Library match
31.4
Indole-3-propionic acid
Beyond library
1.2
PC 34:1
Library match
212.0
N-acetylputrescine
Beyond library
0.4
Hippuric acid
Library match
5.8
FA 18:2;O
Beyond library
0.9
Compounds come back with concentrations, including the ones no library contains.
More compounds named
Identification comes from a foundation model, so it doesn’t stop at what a spectral library already holds.
Numbers that line up
Universal calibrants put every run on the same scale, so this study compares with the last one and the next.
Biology, interpreted
Results come with pathway-level interpretation and a short list of findings worth confirming with targeted methods.
Same methods, calibrants and interpretation either way.
Lab Services
You have samples and a question. We run them, measure what’s there, and tell you what changed.
Best for a study you want answered without tying up instruments or staff.
HILIC, reversed-phase and lipid methods, positive and negative mode
Identifications, concentrations, and interpretation in one report
No instrument time or method development on your side
Subscription and Enterprise Licenses
You run your own LC-MS. Pyxis reads your data and returns the same answers in-house.
Best for teams that want this on every study, at their own pace.
Compatible with Thermo, SCIEX, Bruker, and Waters systems
Standardized methods, SOPs, columns, and calibrants included
Samples and data stay in your facility
Start with Lab Services, move in-house later. Because the methods carry across, your earlier results stay comparable with everything you run next.
In our quantitative flux balance analysis study, relative signal from standard metabolomics reversed two of seven canonical diabetes pathways. With Pyxis concentrations, all seven came back right.
Your data, your biology. All findings, interpretations, and IP from your samples are yours.
Metabolite recall on NIST SRM 1950 reference plasma
Published identification and concentration benchmarks
The cost of a genome for a full biochemome on your own instrument.
From samples to data using our lab services, the time of a genome
Tell us the question you’re trying to answer and we’ll suggest where to start.