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Omron to acquire industrial PC maker OnLogic for $675 million in physical AI push

Omron is buying OnLogic parent Interlogic for $675 million in cash. The deal gives Omron a direct channel to rugged industrial PCs as it pushes into manufacturing-site physical AI platforms.

Omron Corporation will acquire Interlogic, Inc., the parent of U.S. industrial PC maker OnLogic, for $675 million in cash, the Japanese automation company announced October 12, 2026. The deal gives Omron a direct channel to rugged, configurable computing hardware as it pushes beyond factory-automation equipment into manufacturing-site digital transformation and physical AI platforms.

Deal structure and financials

The transaction, executed as a reverse triangular merger, will make Interlogic a direct wholly owned subsidiary of Omron. A Delaware special-purpose company established by Omron will merge into Interlogic, with Interlogic surviving and its subsidiaries-including OnLogic-becoming indirect Omron holdings. Omron said the structure accommodates Interlogic's shareholder base, which includes founders Lisa and Roeland Groeneveld and 167 officer and employee shareholders, by acquiring all outstanding shares in a single transaction.

The $675 million price represents enterprise value on a debt-free, cash-free basis, or roughly 104.6 billion yen. Omron will fund the purchase from cash on hand. For the fiscal year ended December 2025, the Interlogic group reported net sales of $154.2 million, EBITDA of $22.6 million, and net assets of $70.1 million. Adjusted EBITDA, reflecting due-diligence adjustments for items not expected to recur, was $27.1 million. The merger is expected to close around January 2027, subject to regulatory approvals.

Why OnLogic fits the physical AI strategy

Omron framed the acquisition around its ambition to evolve from an equipment manufacturer into a company focused on digital transformation and physical AI at manufacturing sites. OnLogic sells highly configurable, rugged industrial PCs through a build-to-order, direct-sales model. More than 90% of its revenue comes from the Americas and Europe, and its customer base spans a wide range of industries.

Omron listed three post-acquisition priorities: combining OnLogic's industrial PCs with Omron's high-precision control technology to develop next-generation physical AI platforms, cross-selling products across both companies' customer bases, and jointly building solutions that pair Omron's sensing and robotics equipment with OnLogic's computing hardware. OnLogic will keep its brand, direct-to-customer sales model, and management team, including CEO Sean Larkin, while drawing on Omron's Asian business platform and factory-automation expertise.

The target's recent physical AI activity

OnLogic has been active in the physical AI space this year. In September 2026, the company demonstrated physical AI hardware and manufacturing solutions at IMTS 2026. It opened a new European headquarters in Oosterhout, Netherlands, in June, and also showcased practical physical AI and facility workload consolidation at Automate 2026. The company, founded in 2003, employs 301 people across seven locations, including two manufacturing sites.

Why this matters for operations and product development professionals

For plant managers and process engineers evaluating edge-computing infrastructure, the deal signals that major automation vendors are betting on rugged industrial PCs as the hardware layer for physical AI. Omron's stated plan to combine its control and sensing equipment with OnLogic's computers points toward integrated, pre-validated stacks rather than piecemeal component sourcing. Professionals planning manufacturing AI deployments should watch whether this consolidation accelerates the availability of purpose-built hardware-software bundles-and whether it narrows or expands interoperability with existing equipment from other vendors. Those building internal expertise can explore structured learning paths such as AI Manufacturing Management Courses and AI Process Engineering Courses to prepare for these converging technology shifts.

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