NXP Semiconductors today introduced its eIQ Agentic AI Framework, a new software pillar in its edge AI platform that brings autonomous, low-latency decision making directly to edge devices. The framework supports the i.MX 8 and i.MX 9 applications processors and Ara Discrete NPUs, enabling developers to coordinate multiple AI models—vision, audio, time-series and control—in real time without reliance on cloud connectivity. NXP reported 2024 revenue of $12.61 billion and operates in more than 30 countries, underscoring its global reach as it expands into agentic AI solutions.

Designed for use cases requiring high reliability and data privacy, the eIQ Agentic AI Framework features a hardware-aware model optimization engine and an intelligent scheduler that allocates workloads across CPU, NPU and accelerators. This ensures deterministic response times measured in microseconds, critical for factory automation, medical monitoring and smart building control. Security features include protection against prompt injection and model spoofing, integrated with NXP’s secure boot, runtime isolation zones and hardware root of trust.

To streamline adoption, NXP launched the cloud-based eIQ AI Hub, providing on-demand access to eIQ Time Series Studio, eIQ GenAI Flow and the new Agentic AI Framework. The modular toolkit allows novice developers to assemble on-device AI pipelines via automated workflows, while experts can integrate multi-agent orchestration into existing toolchains. Strategic partners GE HealthCare and Honeywell are showcasing proof-of-concept applications—such as anesthesia monitoring and autonomous building controls—at CES 2026, illustrating how NXP’s framework can reduce development cycles by up to 40%.