Mzio provides an enterprise‑grade software platform that extends the open‑source mzMine engine to process raw mass spectrometry data from a wide range of instruments—including LC‑MS, GC‑MS, ion‑mobility, and MS imaging—into standardized, analyzable formats. The platform offers automated, best‑practice workflows for peak detection, alignment, and molecular annotation, and scales via parallel processing on‑premise or in the cloud to handle high‑throughput, multimodal datasets for analytical chemistry labs.
Funding
$167.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Analytical laboratories often face bottlenecks when processing large, heterogeneous mass spectrometry datasets because existing tools are limited to specific vendor formats, instrument types, or lack the scalability needed for high‑throughput studies.
Solution
mzio delivers a versatile software platform that extends the open‑source mzMine engine with enterprise‑grade services. The solution ingests raw data from a wide range of mass spectrometry setups—including LC‑MS, GC‑MS, ion‑mobility spectrometry, and MS imaging—and converts it into standardized formats for downstream analysis. Built‑in best‑practice workflows and well‑established algorithms automate peak detection, alignment, and molecular structure annotation, reducing manual effort and error. The platform is designed for high performance, enabling rapid processing of multimodal datasets at scale, whether deployed on‑premise or in the cloud. By providing a single, unified environment for diverse data types, mzio helps labs accelerate discovery and improve reproducibility.
Target Audience
Primary customers are analytical chemistry labs in pharmaceutical, biotech, and academic research settings that require high‑throughput, multimodal mass spectrometry data analysis.
Features
- Native support for major vendor formats and instrument modalities (LC‑MS, GC‑MS, ion‑mobility, MS imaging)
- Automated end‑to‑end pipelines for raw data conversion, peak picking, alignment, and molecular annotation
- Scalable architecture that leverages parallel processing to handle high‑throughput workloads
- Integration of proven mzMine algorithms with customizable, best‑practice workflows
- Flexible deployment options including on‑premise servers and cloud‑based instances
- Comprehensive reporting tools that export results in standard formats for downstream analysis