Agilent Acquires Artificial Intelligence Technology to Enhance Lab Productivity
Agilent Technologies Inc. (NYSE: A) has acquired advanced AI technology from Virtual Control. This technology, known as ACIES, will enhance Agilent's gas chromatography/mass spectrometry (GC/MS) platforms, improving efficiency and accuracy in lab workflows. The acquisition includes software and assets, with core ACIES team members joining Agilent. The integration is expected to benefit multiple sectors, including food testing and environmental applications, and aims to elevate lab productivity through innovative digital solutions.
- Acquisition of ACIES technology enhances product offerings in gas chromatography and mass spectrometry.
- Integration expected to significantly improve efficiency and accuracy in lab workflows.
- Expands potential applications across food testing, environmental, and agricultural sectors.
- Integration challenges associated with acquiring new technology and team members.
- Risks of retaining key employees from the acquired team and meeting customer expectations.
Agilent will integrate the technology into its lab informatics platforms, enabling customers to automate GC/MS data analysis
With the acquisition, Agilent obtained the software and other assets associated with ACIES. As part of the transaction, core members of the ACIES team also became Agilent employees.
ACIES automates the labor-intensive task of gas chromatography/mass spectrometry data analysis improving efficiency in the laboratory workflow, from sampling to reporting. Agilent will integrate the technology into its MassHunter software package for LC/MS and GC/MS instruments.
“Our acquisition of this advanced technology is just one more example of Agilent’s focus on delivering the insights and innovation our customers can use to provide industry-leading solutions,” said
A range of industries and applications will benefit from Agilent’s acquisition of the technology, including food testing and agriculture, environmental, and applied materials, with broad potential to expand to other large markets.
The acquisition is Agilent’s latest investment in digital technology to improve lab productivity. It builds on the company’s existing investments and innovations to advance the analytical lab and transform its capabilities with new technology, better integration of instruments and data, and more efficient lab workflow.
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Forward Looking Statements
This news release contains forward-looking statements as defined in the Securities Exchange Act of 1934 and is subject to the safe harbors created therein. The forward-looking statements contained herein include, but are not limited to, statements regarding the capabilities the acquisition brings and the assets’ future uses. These forward-looking statements involve risks and uncertainties that could cause Agilent's results to differ materially from management's current expectations. Such risks and uncertainties include, but are not limited to, the ability to retain key employees and meet customer expectations. In addition, other risks that Agilent faces in running its operations include the ability to execute successfully through business cycles; the ability to meet and achieve the benefits of its cost-reduction goals and otherwise successfully adapt its cost structures to continuing changes in business conditions; ongoing competitive, pricing and gross-margin pressures; the risk that our cost-cutting initiatives will impair our ability to develop products and remain competitive and to operate effectively; the impact of geopolitical uncertainties and global economic conditions on our operations, our markets and our ability to conduct business; the ability to improve asset performance to adapt to changes in demand; the ability of our supply chain to adapt to changes in demand; the ability to successfully introduce new products at the right time, price and mix; the ability of Agilent to successfully integrate recent acquisitions; the ability of Agilent to successfully comply with certain complex regulations; and other risks detailed in Agilent's filings with the
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