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Applied Materials Acquires minds.ai to Advance AI for

minds.ai acquired by Applied Materials

AcquisitionManufacturingUS

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Acquired

minds.ai

United StatesManufacturing

Undisclosed amount

July 11, 2026

Applied Materials logo
Acquirer

Applied Materials

Semiconductor Manufacturing

Applied Materials, a global leader in materials engineering solutions for the semiconductor industry, has acquired minds.ai for an undisclosed amount. This corporate acquisition integrates minds.ai’s specialized artificial intelligence capabilities into Applied Materials’ extensive portfolio. Founded in 2014 and headquartered in Silicon Valley with additional offices in Amsterdam and Bangalore, minds.ai developed DeepSim, a flexible AI engine, and Maestro, a platform that leverages DeepSim to optimize critical processes for leaders in large-scale semiconductor manufacturing.

minds.ai initially applied deep learning solutions to enterprise business problems across various sectors, including pharmaceuticals and the automotive industry, before concentrating its expertise on the unique challenges of semiconductor production. Its AI solutions are specifically designed to augment human capabilities, enabling semiconductor manufacturers and fabs to innovate at a pace that human efforts alone cannot sustain. This strategic move by Applied Materials highlights the increasing reliance on advanced AI to enhance efficiency, accelerate development, and drive innovation within the complex and demanding semiconductor fabrication environment.

The integration of minds.ai’s AI engine and optimization platforms is expected to create significant operational and technological synergies. Applied Materials aims to leverage minds.ai’s proven technology to enhance its existing offerings, providing customers with more advanced tools for process optimization, predictive maintenance, and accelerated innovation across the entire semiconductor manufacturing lifecycle. This acquisition positions the combined entity to deliver more comprehensive and intelligent solutions, directly addressing the industry’s continuous demand for faster, more efficient, and more sophisticated production processes. The combined expertise is anticipated to drive further advancements in AI-powered semiconductor manufacturing.

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