Mission-critical controls systems for data centers and large facilities
Divcon operates a controls engineering firm focused on data centers and mission-critical facilities, managing over 9 million square feet and 1+ gigawatt of commissioned infrastructure since 2017. The tech stack is deeply rooted in industrial automation (Allen-Bradley, Rockwell, Siemens, Schneider Electric, Tridium Niagara) with emerging adoption of low-code integration tools (n8n, LangChain, Zapier), suggesting internal push toward faster deployment cycles. Hiring is heavily weighted toward engineering and field construction roles with accelerating velocity—a signal they're ramping project throughput faster than traditional staffing has kept pace, which aligns with documented pain around scaling workforce with project volume and standardizing commissioning workflows.
Divcon designs, deploys, and commissions customized operating systems and building automation platforms for data centers and mission-critical facilities. The firm specializes in HVAC controls, energy monitoring, and industrial PLC integration across large-scale infrastructure projects. Customers include operators of hyperscale data centers and enterprise facilities; projects involve BMS/EPMS deployment, SCADA integration, network architecture design (BACnet, Modbus, EtherNet/IP), and full system commissioning and testing. The company operates across the United States with a field-heavy delivery model combining engineering design, on-site construction, and post-deployment optimization.
Divcon's primary stack includes Rockwell Automation (ControlLogix, Studio 5000), Siemens PLCs, Schneider Electric, Allen-Bradley, Tridium Niagara, and Ignition SCADA/HMI. Network protocols span BACnet, Modbus TCP/IP, EtherNet/IP, OPC UA, and MQTT.
Divcon manages over 9 million square feet of data center and mission-critical facility space, with more than 1 gigawatt of commissioned infrastructure since founding in 2017.
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divcon'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.