![Two images in circles, one with a lab tech putting a sample into a vial and the other of a vial](https://www.matterworks.ai/hs-fs/hubfs/matterworks.ai/Product/Product_image1.png?width=600&height=515&name=Product_image1.png)
Trained on the world’s largest quantitative mass spec dataset and built upon our Large Spectral Model (LSM), PyxisTM deep-learns how to map raw mass spec data to absolute concentrations. Harnessing a set of universal calibrants called StandardCandlesTM, Pyxis produces untargeted absolute quantitative results in minutes, without expertise or manual data processing.
How it Works
![Vials in a line](https://www.matterworks.ai/hs-fs/hubfs/matterworks.ai/Product/Product_image2A.png?width=600&height=515&name=Product_image2A.png)
Standardized consumables
for sample preparation and LC-MS methods
![image of an instrument collecting date](https://www.matterworks.ai/hs-fs/hubfs/matterworks.ai/Product/Product_image2B.png?width=600&height=515&name=Product_image2B.png)
Acquire data
on your own instrument
![Computer monitor with data on screen](https://www.matterworks.ai/hs-fs/hubfs/matterworks.ai/Product/Product_image2C.png?width=600&height=515&name=Product_image2C.png)
Cloud-enabled software
for automated raw data processing
What Makes Pyxis Unique
Untargeted: ability to broadly identify and quantify as many features as possible from raw untargeted data
Quantitative: absolute quantitation makes it possible to compare data across samples, experiments, studies, and even across laboratories
Fast: results allow for decision as soon as data acquisition is complete
Automated: no need for PhD-level expertise to manually curate features and analyze data
Scalable: a small set of universal methods and standards replaces laborious method development and calibrations that yield limited analytical coverage
Reproducible: a single sample preparation kit and software pipeline to ensure uniformity and standardization
![Slider_ProdDetail](https://www.matterworks.ai/hubfs/matterworks.ai/Product/Slider_ProdDetail.jpg)
Products
Pyxis Hydra: Identify and quantify hundreds of HILIC compatible analytes with an uncertainty range for each analyte and concentration. Broad quantitative annotation of untargeted LC-MS samples. Ideal applications include microbiome science, drug discovery, and biomarker discovery.
Pyxis Vela: Rapid, accurate, and precise absolute quantitation of the key indicators for healthy cell functioning. Ideal applications include bioprocessing, synthetic biology, media analysis, and drug development.
![Computer monitor with data moving. on screen](https://www.matterworks.ai/hubfs/matterworks.ai/Product/Slider_WebApp_graybkd.gif)
Web Application
Fast & Automated Data Processing: Our cloudbased application streamlines data workflows with rapid, automated processing
Secure Infrastructure: Secure data storage and transfer
Scalable Sample Handling: Analyze up to 384 samples in under 15 minutes
![Image of the slider kit box](https://www.matterworks.ai/hubfs/matterworks.ai/Product/Slider_Kit.jpg)
Consumables and Methods for Rapid Deployment
Easy setup and onboarding
Consumables, standardized sample preparation, and LC-MS methods ensure uniformity
StandardCandles: Universal calibrators replace isotopically labeled individual standards, thereby broadening analytical coverage
Resources
![Thumbnail for Pyxis Product Brochure](https://www.matterworks.ai/hs-fs/hubfs/Website%20-%20Resources%20Thumbnail%20-%20750x394%20px.png?width=600&height=515&name=Website%20-%20Resources%20Thumbnail%20-%20750x394%20px.png)
Pyxis Product Brochure
A product brochure that details Pyxis application areas, function, and technology along with a list of recent publications.
![Image with the Pyxis logo and title of the application note](https://www.matterworks.ai/hs-fs/hubfs/Website%20-%20Resources%20Thumbnail%20-%20750x394%20px%20-%20Microbiome%20App%20Brief.png?width=600&height=515&name=Website%20-%20Resources%20Thumbnail%20-%20750x394%20px%20-%20Microbiome%20App%20Brief.png)
Using Pyxis for the Characterization of Microbiome Function
An application brief explaining how Pyxis can be used for absolute quantitation of untargeted small-molecule messenger analytes to elucidate microbiome function.
![Image of Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning](https://www.matterworks.ai/hs-fs/hubfs/matterworks.ai/Product/Video_vig3.png?width=600&height=515&name=Video_vig3.png)
Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning
Luke Ferro, PhD, gives a short poster overview of a collaboration between Matterworks and Eli Lilly for the quantification of metabolites from bioreactors