Protein Metrics

Protein Metrics provides vendor-neutral mass spectrometry software for comprehensive protein and oligonucleotide analysis across the biopharmaceutical development process. The platform supports protein identification, characterization, and quantification from research through to industrial production, serving analytical scientists in both industry and academia. As part of Dotmatics, Protein Metrics benefits from a collaborative ecosystem of best-in-breed scientific applications, enabling seamless data integration to accelerate biologics development.

Underpinned by 30 patents, Protein Metrics' proprietary algorithms are designed to minimize ambiguity, achieve reproducibility, and eliminate lab-to-lab variability. The software is instrument-agnostic, supporting data generated on all major commercially available liquid chromatography, capillary electrophoresis, and mass spectrometry platforms through a clean, intuitive user interface.

Core Products

• Byonic – A full MS/MS search engine delivering unequaled sensitivity for comprehensive peptide and protein identification, serving as the foundation for proteomics and biotherapeutic characterization workflows.
• Byos – A bench-level software solution for detailed mass spectrometry data analysis, supporting intact, peptide, chromatogram, and oligonucleotide analysis with automated workflows that enable hands-free processing of multiple protein samples and generation of ready-to-deliver reports in minutes.
• Byosphere – An enterprise-level platform for managing, interrogating, and sharing files and reports generated across analytical labs. Byosphere enables users to find past experiments, reuse knowledge, and uncover fresh insights through metadata, deep query capabilities, and up-to-date dashboards, supporting better data consistency and business decision-making.

Key Capabilities

• Vendor-neutral compatibility – Instrument-agnostic software works across all major commercially available mass spectrometry platforms, eliminating vendor lock-in.
• Comprehensive analysis – Accurate quantification of protein species down to trace amounts, covering intact protein analysis, peptide mapping, chromatogram analysis, and oligonucleotide analysis.
• Workflow automation – Automated workflows enable consistent, reproducible processing of multiple samples in a hands-free manner, with rapid report generation.
• Enterprise data management – Dashboards and deep query tools allow cross-project data management, enabling analysts to interrogate and share results across the organization.
• Algorithm-driven accuracy – Unique, patented algorithms minimize ambiguity and variability, supporting reproducible results across labs and stages of development.

Scientific and Technical Foundation

• Software supports analysis across liquid chromatography, capillary electrophoresis, and mass spectrometry platforms.
• Backed by approximately 30 patents and extensive peer-reviewed publications in computer science, mathematics, and chemistry.
• Co-founded by researchers with deep expertise in algorithm design, proteomics, mass spectrometry, and scientific visualization.
• Leadership team brings experience from organizations including Dotmatics, Siemens, Danaher, Waters, Micromass, Unchained Labs, Xerox PARC, and leading academic institutions.
• Engineering and bioinformatics leadership with backgrounds in machine learning, data science, and personalized medicine.

Customers and Ecosystem

• Trusted by the world's leading research organizations, including major biopharmaceutical companies such as Janssen.
• Serves scientists across biomarker discovery, biologic drug development, vaccine research, and therapeutic product development.
• Integrated within the Dotmatics platform, enabling cross-disciplinary scientific data connectivity and collaboration.

Protein Metrics is the preferred vendor-neutral solution for biotherapeutic protein characterization, offering a scalable suite of tools from individual bench scientists to enterprise analytical operations, all designed to help researchers cut through complex data and accelerate the development of biologics.