Embedded automotive, industrial, and IoT applications need a reliable, versatile, and robust platform that supports the development and prototyping of safety-critical systems. Developers of these applications need to design, test, and evaluate the performance of these systems before they are deployed into the real world, and a ready-made platform board can help.

Rich Nass interviews Julien Battiston with NXP at embedded world 2026 in Nuremberg.

Throughout embedded world Germany (March 10–12, Nuremberg), SECO will be in Hall 1 at Booth 320 where it will focus on its NXP Semiconductors-based solutions. The spotlight will be on SECO’s portfolio built on NXP applications processors, with an emphasis on the i.MX 95 Applications Processors Family.

Rapid prototyping is a critical step in the development of modern motor control, industrial automation, and general-purpose embedded systems. Embedded engineers, software developers, and hardware designers must ensure products are ready for deployment, with the support of powerful and flexible testing and implementation solutions.

IoT, industrial, and smart devices, such as smart doorbells and locks, smart thermostats and lighting, and Point of Sale (POS) terminals demand consistent and reliable wireless connectivity. These advanced technologies not only rely on seamless Wi-Fi, but they often require Bluetooth connectivity and 802.15.4 radios to connect devices to the cloud and to each other.

Mountain View, California.  Kodiak Robotics, Inc. announced that it has integrated NXP’s automotive processors and in-vehicle networking interfaces into its autonomous system NXP’s S32G3 vehicle network processor, S32K3 microcontroller, VR5510 multi-channel high-voltage power management integrated circuit (PMIC), and PF53 are now incorporated in the Kodiak Actuation Control Engine (ACE).

AI is advancing rapidly, enhancing everyday devices like phones, vehicles, smart cameras and sensors. However, AI development and deployment still largely relies on the cloud, raising the question: how can we make advanced AI accessible to everyone?