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mzio announces new funding to develop AI-powered FAIR-MS at ASMS 2026

New AI-powered FAIR-MS initiative aims to unlock value from historical mass spectrometry data

20 May 2026
Olivia Long
Editorial Team

mzio GmbH, based in Bremen, Germany, has secured two grants to accelerate development of AI-powered FAIR-MS software and multidimensional mass spectrometry (MS) calibration workflows. The funding, awarded under the Promotion of Research, Development and Innovation program (Förderung der Forschung, Entwicklung und Innovation (FEI)) and the Liquid Chromatography Ion Mobility Mass Spectrometry Imaging Calibration (LIMMIC) project, will support new product development, workflow integration, and industry collaborations to be showcased at the 74th ASMS Conference on Mass Spectrometry and Allied Topics (ASMS 2026).

Launch of FAIR-MS for AI-powered reuse of historical MS data

At ASMS 2026, mzio will launch FAIR-MS, a new initiative to develop AI-based software for the comparative analysis and reuse of historical mass spectrometry (MS) data.

mzio FAIR-MS is an AI-powered technology designed to revive historical MS data and enable automatic comparison against large archived datasets, regardless of instrument, laboratory, or measurement conditions. This approach allows organizations in research, clinical, and industrial environments to unlock the analytical and research value of their existing MS data.

Engineered to integrate into existing analytical workflows, FAIR-MS will support both liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS). The platform aims to accelerate compound identification, reduce manual curation, and improve the quality of chemical annotation across diverse application areas.

Major updates to mzmine for vendor-agnostic MS data processing

In parallel with the FAIR-MS initiative, mzio is releasing major updates to its mzmine platform, the company’s vendor-agnostic MS data solution. mzmine offers reproducible, fast data processing workflows and well-established algorithms to transform complex MS data into meaningful insights for metabolomics, lipidomics, and other omics and analytical chemistry applications.

The latest mzmine release will include expanded vendor format support, dedicated dashboards for lipid and small molecule analysis, and a new impurity analysis workflow that correlates orthogonal detectors with MS data. These enhancements are designed to help laboratories streamline data processing, improve comparability across instruments, and support high-throughput, high-quality MS studies.

mzio is collaborating with leading instrument vendors including SCIEX, Waters, Agilent, Bruker, and others on its industry-agnostic solutions. The company will showcase its latest integrations and workflows at ASMS 2026, highlighting how mzmine and FAIR-MS can support laboratories operating mixed-vendor instrument fleets.

Turning FAIR data principles into practice

“With FAIR-MS we are turning the FAIR data principles into practical reality,” said Dr. Ansgar Korf, CEO of mzio GmbH. “The ability to automatically search and match new measurements against large collections of historical MS data will fundamentally change how researchers and industrial users extract value from their data.”

Dr. Korf added that the new funding will help mzio advance its mission to deliver vendor-neutral, scalable software solutions for mass spectrometry data analysis, enabling more efficient, reproducible, and collaborative science.

mzio at ASMS 2026

mzio will present three scientific posters at ASMS 2026 that explore unifying untargeted LC-MS data, dereplicating LC-TIMS-MS data through deep learning molecular networking, and comparing data-dependent acquisition (DDA) and data-independent acquisition (DIA) lipidomics.

The mzio team will be at ASMS 2026 to discuss the latest developments, demonstrate the new mzmine features live, and explore collaborations around FAIR-MS, LIMMIC, and vendor partnerships. Attendees can visit the mzio booth #608.

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Mass SpectrometryMass spectrometry (MS) is a powerful analytical technique used to identify and quantify molecules based on the mass-to-charge ratio of gas-phase ions. It provides detailed information about the structure, composition, and properties of compounds and is widely used across fields such as environmental monitoring, materials science, drug discovery and development, food and beverage testing, and wider chemical research. Key MS techniques include tandem mass spectrometry (MS/MS), liquid chromatography–mass spectrometry (LS-MS) and inductively coupled plasma (ICP-MS). Choosing from these wide range of techniques and technologies can be a daunting task, so keep up to date with scientific applications, performance expectations, and customer reviews here all in one place. Visit our product directory to receive quotes direct from the manufacturer. LC-MSLC-MS (liquid chromatography-mass spectrometry) systems and equipment are used for separation and quantitative analysis of complex mixtures, combining liquid chromatography and mass spectrometry. Quantify proteins, contaminants, pesticides or screen for drug metabolites with a high level of sensitivity. LC-MS systems and equipment include reverse phase, normal phase and specialized columns integrated with various MS detectors such as time-of-flight (TOF), quadrupole, orbitrap or ion trap mass analyzers. LC-MS/MS instruments equipped with a qTOF or triple quadrupole analyzer give greater sensitivity and resolving power to your analysis. Find the best LC-MS equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.GC-MS GC-MS (gas chromatography-mass spectrometry) instruments and equipment are used to separate, quantify and identify mixtures of small and volatile compounds, such as polycyclic aromatics, fatty acids and alcohols. Often used in drug detection, forensic investigation and environmental analysis for pesticides and contaminants, GC-MS is a powerful addition to your lab’s analytical capabilities. GC-MS/MS instruments equipped with a qTOF or triple quadrupole analyzers can give greater sensitivity and resolution to your analysis. Find the best GC-MS instruments and equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.AIAutomationAutomation in laboratories and manufacturing processes enhances efficiency, precision, and scalability by reducing the need for manual intervention. It plays a critical role in improving productivity, minimizing human error, and accelerating workflows in fields like diagnostics, drug development, and industrial testing. Automation technologies include robotic systems, automated liquid handlers, and process control systems that streamline complex tasks and ensure consistent, reproducible results. Explore our peer-reviewed product directory to discover the best automation solutions, compare options, read user reviews, and get prices directly from manufacturers.ASMSThe American Society for Mass Spectrometry (ASMS) is an organization dedicated to advancing the science and application of mass spectrometry. ASMS supports professionals through events, publications, and research initiatives, promoting innovation in areas like proteomics, metabolomics, and environmental analysis.

Frequently asked questions

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How is mzio GmbH using AI-powered FAIR-MS software to enable the reuse of historical mass spectrometry (MS) data?

FAIR-MS is an AI-powered software initiative developed by mzio GmbH in Bremen, Germany, to support the comparative analysis and reuse of historical mass spectrometry (MS) data. Funded by a €150,000 grant from the Bremer Aufbau-Bank (BAB) under the FEI program and co-financed by the European Union through the EFRE-Bremen 2021-2027 fund, FAIR-MS is designed to automatically compare new measurements against large archived MS datasets, independent of instrument, laboratory, or measurement conditions. By integrating into existing analytical workflows and supporting both liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS), FAIR-MS helps research, clinical, and industrial organizations unlock the analytical and research value of their existing MS data, accelerate compound identification, reduce manual curation, and improve the quality of chemical annotation.

What new capabilities are being added to mzmine for vendor-agnostic mass spectrometry data processing and multidimensional MS calibration?

mzio is releasing major updates to mzmine, its vendor-agnostic MS data processing platform used in metabolomics, lipidomics, and other omics and analytical chemistry applications. The latest mzmine release will feature expanded vendor format support, dedicated dashboards for lipid and small molecule analysis, and a new impurity analysis workflow that correlates orthogonal detectors with MS data. In the LIMMIC project (Liquid Chromatography Ion Mobility Mass Spectrometry Imaging Calibration), supported by a €217,758 ZIM grant from the German Federal Ministry for Economic Affairs and Energy (BMWi), mzio is leading the development of modular calibration software for multidimensional MS and lipidomics workflows. Within its subproject, mzio will integrate calibration modules into mzmine for retention time, m/z, and ion mobility/collision cross section (CCS), and enhance annotation capabilities for oxidized lipids, thereby improving comparability, reproducibility, and reliability of LC-MS, ion mobility spectrometry (IMS), and MS imaging measurements.

Which collaborations and projects position mzio GmbH as a leader in vendor-neutral mass spectrometry software ahead of ASMS 2026?

Ahead of the 74th ASMS Conference on Mass Spectrometry and Allied Topics (ASMS 2026), mzio GmbH is advancing several collaborations and funded projects that strengthen its role in vendor-neutral MS software. The company is working with leading instrument vendors including SCIEX, Waters, Agilent, Bruker, and others to deliver industry-agnostic solutions that support laboratories operating mixed-vendor instrument fleets. Through the FAIR-MS initiative and the LIMMIC project, mzio is turning FAIR data principles into practice and developing a universal, standardized calibration framework for LC-MS, IMS, and MS imaging. At ASMS 2026, mzio will launch FAIR-MS, demonstrate new mzmine features, and present three scientific posters on unifying untargeted LC-MS data, dereplicating LC-TIMS-MS data via deep learning molecular networking, and comparing DDA and DIA lipidomics, showcasing its comprehensive, interoperable environment for MS data processing, historical data reuse, and multidimensional calibration.

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