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Agilent to Acquire Proscia for Up to $270M to Build Scientific Intelligence Layer in Digital Pathology

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Agilent to Acquire Proscia for Up to $270M to Build Scientific Intelligence Layer in Digital Pathology

By acquiring Proscia, Agilent secures the missing software operating system. Instead of selling discrete instruments and reagents, Agilent can now deliver an end-to-end ecosystem: tissue preparation reagents, automated staining instrumentation, vendor-neutral whole-slide ingestion, and regulatory-cleared diagnostic software.

Agilent and Proscia originally entered into a multi-year global distribution agreement in September 2022 to co-develop and sell integrated diagnostic pathology workflows. Acquiring Proscia transitions an external commercial alliance into an owned intellectual property core.

Agilent is a primary diagnostic partner for global pharma, co-developing FDA-approved companion diagnostic tests that determine patient eligibility for targeted cancer immunotherapies. Integrating Concentriq gives Agilent a direct digital data conduit into 16 of the top 20 biopharmas, creating an R&D feedback loop that unites prospective biomarker discovery with downstream clinical commercialization.

The acquisition brings a high-margin, recurring-revenue software foundation into Agilent’s diagnostic portfolio:

“Digital pathology is quickly becoming the foundation for pathology data generation, analysis, and application across biopharmaceutical research, clinical development, and diagnostics, and our acquisition of Proscia meaningfully expands our presence in this fast-growing market,” said Padraig McDonnell, President and CEO of Agilent. “The acquisition establishes an Agilent platform for scientific intelligence in tissue-based precision medicine, connecting data generation with AI-based interpretation in a workflow that supports biomarker research through routine clinical use. With Proscia’s leading platform and talented team, we will be better equipped to help laboratories and biopharma customers manage and derive insights from pathology data.”



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