ProbiusDx
Deep-tech company developing a quantum electrochemical spectroscopy (QES) platform that converts small aliquots of biological samples into high-dimensional vibrational signatures (digital twins). The platform combines electrochemical sensing, disposable sensor consumables, edge/IoT readers, cloud analytics and machine learning to enable reagent-free, minimal-prep detection and quantification of proteins, metabolites, nucleic acids, cells and microorganisms for biomarker discovery, preclinical research and biomanufacturing QC.
Industries
Nr. of Employees
small (1-50)
ProbiusDx
48389 Fremont Blvd, Suite 114, Fremont, CA 94538, United States
Patents
Products
Benchtop quantum electrochemical reader
Small-footprint, IoT-enabled instrument that performs voltage scans on sensor consumables to produce high-dimensional vibrational datasets for upload to cloud analytics.
Disposable electrochemical sensor vial
Single-use vial with an embedded sensor that enables quantum electrochemical measurements without analyte-specific reagents.
Cloud-based bioanalytical software (BCS)
AI-powered web interface for uploading vibrational datasets, performing classification, biomarker discovery and analyte quantitation.
Benchtop quantum electrochemical reader
Small-footprint, IoT-enabled instrument that performs voltage scans on sensor consumables to produce high-dimensional vibrational datasets for upload to cloud analytics.
Disposable electrochemical sensor vial
Single-use vial with an embedded sensor that enables quantum electrochemical measurements without analyte-specific reagents.
Cloud-based bioanalytical software (BCS)
AI-powered web interface for uploading vibrational datasets, performing classification, biomarker discovery and analyte quantitation.
Services
Rolling grant program providing investigators with access to the platform (instrument, consumables, software), technical support and data-analysis collaboration to run proof-of-concept studies.
Web-based analytics for sample classification, biomarker discovery and analyte quantitation using uploaded vibrational datasets and trained ML models.
Rolling grant program providing investigators with access to the platform (instrument, consumables, software), technical support and data-analysis collaboration to run proof-of-concept studies.
Web-based analytics for sample classification, biomarker discovery and analyte quantitation using uploaded vibrational datasets and trained ML models.
Expertise Areas
- Digital bioanalysis and phenotyping
- Biomarker discovery and validation
- Bioanalytical assay development for small-volume samples
- Machine learning for quantitative bioanalytics
Key Technologies
- Quantum electrochemical spectroscopy
- Electrochemical sensor consumables
- High-dimensional vibrational fingerprinting
- Cloud-based analytics and digital twins
News & Updates
Presentation of QES applications and posters at the AAPS PharmSci360 conference.
Poster demonstrating use of QES to measure fermentation biochemistry and monitor manufacturing processes.
Press release describing a collaboration to integrate quantum molecular spectroscopy data with generative molecular design AI and high-throughput biological data for adjuvant discovery; funded by DTRA JSTO CBD Program.
Thought leadership article on shifting clinical lab medicine from reagent-centric to data-centric workflows.
Poster and study demonstrating QES quantification of liver biomarkers and digital phenotyping in a rat preclinical toxicity study, enabling DILI assessment from <10 µL serum.
Presentation of QES applications and posters at the AAPS PharmSci360 conference.
Poster demonstrating use of QES to measure fermentation biochemistry and monitor manufacturing processes.
Press release describing a collaboration to integrate quantum molecular spectroscopy data with generative molecular design AI and high-throughput biological data for adjuvant discovery; funded by DTRA JSTO CBD Program.
Thought leadership article on shifting clinical lab medicine from reagent-centric to data-centric workflows.
Poster and study demonstrating QES quantification of liver biomarkers and digital phenotyping in a rat preclinical toxicity study, enabling DILI assessment from <10 µL serum.