Industrial automation and process control systems integrator with emerging AI vision capabilities
Proconex is a 75-year-old process automation integrator built on DCS, PLC, and SCADA platforms (DeltaV, Honeywell, Siemens, ABB, Rockwell). The tech stack reveal—heavy ML frameworks (PyTorch, TensorFlow, Transformers) alongside classical control systems—signals a shift toward vision AI and cognitive automation. Active hiring is engineering-dominant (10 of 13 roles, mostly senior), and projects explicitly name 'vision ai and cognitive automation platform,' indicating the business is moving beyond traditional controls into autonomous systems for valve retrofit and retrofit aging infrastructure.
Proconex delivers process automation control systems, valves, and field engineering services to manufacturing and process industries. The company maintains three U.S. offices and employs 300+ staff, with a service model centered on DCS design, startup, and compliance support in regulated sectors (batch, pharmaceutical, chemical). Revenue-side work spans distributed control system implementation, batch process design, and aging infrastructure retrofit—a combination of new-build projects and installed-base modernization. The business operates at scale in complex, project-gated environments where downtime is costly and regulatory oversight is strict.
Proconex integrates DeltaV, Honeywell, Siemens, ABB, Rockwell Automation, and Allen-Bradley systems. Also deploys OSIsoft PI for data management and historian functions, plus SCADA, MES, and Ethernet/IP and Profibus protocols for real-time control.
Active projects include distributed control system implementation and design, batch control process design for regulated industries, DCS startup in pharma/chemical, and a vision AI and cognitive automation platform for valve retrofit and aging infrastructure modernization.
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Proconex's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.