SCIEX, a Danaher company and manufacturer of mass spectrometry and liquid chromatography systems, has announced six separate software collaborations aimed at creating a more integrated analytical environment for pharmaceutical and life science laboratories.
The new partnerships span AI-driven proteomics, biopharmaceutical characterisation, quantitative peptide analysis and high-throughput ADME workflows.
The firm said that all of these areas are of mounting strategic importance as regulatory expectations around data integrity continue to tighten.
The collaborations will extend the SCIEX software solutions environment, which is designed to unify instrument control, method development, data processing and compliance within a single scalable architecture.
For pharma manufacturing labs operating under cGMP, the new partnerships will be highly appealing. Fragmented software stacks introduce risk, slow turnaround times and create audit-trail vulnerabilities.
In contrast, a consolidated environment can support the kind of end-to-end data traceability that regulators are increasingly expecting from companies.
"As mass spectrometry workflows grow more complex, software integration becomes a differentiator," said Jose Castro-Perez, Vice President of Product Management at SCIEX.
The integrated environment that SCIEX software solutions present, with holistic workflows and data-driven results, is key for customer success.
Among the six collaborations, several are particularly relevant to biopharmaceutical development and manufacturing.
BYOS by Protein Metrics enables rapid characterisation of complex biopharmaceutical candidates, quantifying species down to trace amounts — a capability critical in biologics quality control.
Genedata Expressionist automates and harmonises data processes across instruments and teams, with support for a range of regulatory compliance frameworks, making it well-suited to enterprise pharma environments managing multi-site operations.
For drug discovery and early development, Leadscape by Sound Analytics targets high-throughput ADME workflows, thereby simplifying the MRM method development cycle for bioanalytical assays.
AI Quantitation by Mass Analytica brings machine learning to automated data processing for relative and absolute quantitation, including MRM prediction, with the stated aim of reducing operator workload and improving throughput.
Rounding out the collaborations are PEAKS by Bioinformatics Solutions Inc., which offers AI-driven deep proteomic analysis and serves as the exclusive commercial partner for ZT Scan DIA data processing and Skyline by MacCoss Lab Software, an established tool for quantitative peptide method development and XIC-based data analysis.
SCIEX also indicated in its statement that further collaborations will be announced at ASMS 2026, signalling continued investment in its software-first strategy at a time when analytical data management is becoming a competitive and compliance-critical differentiator for pharma manufacturers.