Softeq and NXP Partnership to Shape What’s Next in Secure Embedded Systems

Embedded teams today are being asked to do more with less. More intelligence, more connectivity, more security, all while getting products out the door faster. The hard part is not the ideas. It is turning those ideas into systems that hold up once they leave the lab.

That is where our newest partnership with NXP comes in.

For more than a decade, we've worked alongside NXP to integrate advanced processing platforms into complex embedded systems across automotive, industrial, and robotics applications. The relationship is grounded in shared engineering priorities: start with real constraints, make architectural decisions early, and design systems that scale.

Building What Comes Next in Embedded Systems

NXP platforms power products where reliability, security, and long operational lifecycles are essential. Our work focuses on helping teams translate those platforms into complete systems across hardware, firmware, and software.

Together, we support teams that need to:

  • Architect embedded systems for long-term maintainability and lifecycle support
  • Optimize multi-core processing and peripheral integration early in the design phase
  • Reduce friction between hardware, firmware, and application teams
  • Move from proof of concept to scalable deployment in regulated and performance-critical environments

The focus is not on experimentation alone. It is on engineering systems that perform predictably under real operating conditions.

From Early Decisions to Reality

NXP provides the silicon foundation engineered for demanding environments. Our role is then centered on system-level integration, bringing together processing, connectivity, and application layers into cohesive devices.

Over the years, this collaboration has contributed to projects in electric commercial vehicles, industrial automation, robotics, and connected consumer products. Across these efforts, one pattern remains consistent: early architectural clarity makes long-term performance and maintainability easier to achieve.

A recent visit from the NXP team to our Vilnius engineering hub reinforced this hands-on collaboration, aligning on active initiatives and future Edge AI opportunities.

Building What Comes Next in Embedded Systems

A key area of alignment is the i.MX 95 applications processor family.

As embedded products become more intelligent, teams are being asked to move AI closer to the device. Not as a demo feature, but as a core part of how the product behaves. The i.MX 95 platform makes that shift more practical, enabling advanced Edge AI workloads such as gesture recognition, real-time vision, industrial HMI, and in-cabin monitoring without relying on constant cloud connectivity.

We are developing solutions optimized for i.MX 95, including on-device AI models built for low latency, privacy, and predictable performance. This means teams will be able to:

  • Run real-time inference directly on the device
  • Reduce dependence on cloud infrastructure
  • Respond faster in safety-sensitive environments
  • Bring AI into industrial, automotive, robotics, and healthcare systems with greater confidence

Choosing the right architecture early makes it easier to scale these capabilities later, without reworking the foundation of the system.

Moving Forward

The future of embedded systems will be shaped by intelligence at the edge and tighter hardware-software integration. With NXP as an official partner, we aim to support teams building secure, scalable systems that reflect both strong silicon foundations and deliberate system design.


About NXP

NXP Semiconductors N.V. (NASDAQ: NXPI) is the trusted partner for innovative solutions in the automotive, industrial & IoT, mobile, and communications infrastructure markets. NXP's "Brighter Together" approach combines leading-edge technology with pioneering people to develop system solutions that make the connected world better, safer, and more secure. The company has operations in more than 30 countries and posted revenue of $12.61 billion in 2024.

 

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