ROYERSFORD, PA — Proconex has launched Linque, a new industrial intelligence company designed to help aging, highly regulated industries shift into the era of AI without the disruption, rigidity, or risk that often comes with modernization.
Built on Proconex’s 75-year foundation in automation and operational technology, Linque aims to fill a widening gap between legacy systems and the increasing demand for connected, data-driven operations across life sciences, energy, transportation, and food and beverage sectors. The company is positioning itself as a platform-agnostic alternative to proprietary, closed-system modernization tools that can lock organizations into costly long-term commitments.
Linque’s model combines IT strategy, operational technology expertise, and artificial intelligence into a unified, flexible architecture that companies can adopt at their own pace. Its portfolio includes VisionAI for visual inspection and aseptic monitoring, AI-Enabled Verification, AI-Ops, AI-Production software, and comprehensive data architecture services. The offering is supported by consulting, integration, and training teams focused on helping clients enhance performance without major infrastructure overhauls.
John Otte, CEO of Proconex, said customers have struggled to modernize without jeopardizing production or compliance. He said organizations “have been searching for a practical way to bridge IT, OT, and AI without putting their operations at risk,” and argued that Linque provides that route by pairing deep industrial understanding with flexible, real-world deployment options.
According to the company, early demand is being driven by the need for real-time visibility across siloed systems, operational clarity, and tools that strengthen productivity without adding unnecessary complexity. By avoiding platform lock-in and emphasizing incremental upgrades, Linque is targeting companies that want the benefits of AI-enabled operations without betting their entire infrastructure on a single vendor.
Proconex expects Linque to accelerate adoption of intelligent systems across industries that have historically been slow to change, setting the stage for broader digital transformation over the next decade.
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