Mindsets and TDK SensEI Announce Strategic Partnership to Revolutionize Industrial Edge AI Across EMEA

RIYADH, SAUDI ARABIA – February 11, 2026 — Mindsets today announced a landmark partnership with TDK SensEI, a global leader in sensor intelligence, to deploy the cutting-edge edgeRX™ industrial AI platform across Europe, the Middle East, and Africa (EMEA).

The collaboration positions Mindsets as an authorized value-added reseller, providing localized integration and strategic support for organizations looking to move from reactive maintenance to predictive intelligence.

Transforming Industrial Operations at the Edge Through this partnership, industrial players in manufacturing, logistics, and smart buildings will gain access to edgeRX™, a platform that converts real-time sensor data into actionable insights directly at the source (the edge). This technology significantly improves equipment reliability, reduces downtime, and enhances overall operational efficiency.

Strategic Launch at WAM Riyadh The partnership will be formally launched at the World Advanced Manufacturing (WAM) Conference in Riyadh (February 15–17, 2026). Both companies will showcase how Edge AI is transforming the “Factory of the Future” and supporting the industrial localization goals of the region.

Leadership Perspectives “edgeRX represents exactly the kind of transformative technology that manufacturers across Europe and the Middle East need,” said Dr. Rayan Khraibani, CEO of Mindsets. “We are excited to help our clients unlock measurable operational efficiencies and cost savings.”

Kyle Arnold, Chief Marketing Officer of TDK SensEI, added: “Partnering with Mindsets allows us to combine our edge intelligence platform with a team that deeply understands the operational realities of EMEA industries. Together, we are enabling technically advanced and regionally tailored solutions.”

Key Features of edgeRX™:

  • Real-Time Diagnostics: Immediate anomaly detection to prevent machine failure.
  • Edge-to-Cloud Orchestration: Secure data management and scalable asset monitoring.
  • Performance Optimization: Data-driven decision-making to extend machinery lifespan.

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