eIQ Agentic AI Framework
New framework from NXP for agentic AI at the edge
NXP Semiconductors has introduced the "eIQ Agentic AI Framework", which enables autonomous agentic intelligence directly in edge devices and adds another key pillar to NXP's edge AI platform.
The new tool enables autonomous agentic intelligence directly on edge devices, allowing both expert and novice device developers to simplify and accelerate agentic AI development, orchestration and deployment. When combined with NXP’s industry-leading secure edge AI hardware, the eIQ Agentic AI Framework provides a trusted foundation to rapidly prototype and deploy optimized, secure, autonomous AI systems at the edge.
As agentic AI becomes essential for next-generation automation, the new eIQ Agentic AI Framework is one of the first solutions to enable agentic AI development at the edge, delivering low-latency performance, built-in security and resilience to accelerate innovation.
NXP’s eIQ Agentic AI Framework is designed to eliminate development bottlenecks with deterministic real time decision making and multi model coordination. Powered by the eIQ Agentic AI Framework, edge-based AI agents can instantly control factory equipment when safety risks arise, alert medical staff to urgent conditions, update patient information in real time, or autonomously adjust HVAC systems to mitigate hazards such as fire, all without relying on cloud connectivity.
A Flexible Platform for Every Developer
Using the eIQ Agentic AI Framework, expert developers can integrate sophisticated, multi-agent workflows into existing toolchains, while novice developers can quickly build functional edge native agentic systems without requiring deep technical experience. Developers can easily transition cloud scale models to deterministic, low latency execution at the edge.
Supporting the i.MX 8 and i.MX 9 families of applications processors and Ara Discrete Neural Processing Units, the eIQ Agentic AI Framework enables scalable agentic workflows allowing developers to quickly convert a multi-step AI agent workflow into an on-device edge AI deployment. The framework aligns with open agentic standards, including A2A (Agent to Agent) and Model Context Protocol (MCP), enabling straightforward onboarding and fast assembly of on device agentic pipelines.
Optimized for Real Time, Multi-Model Agentic Workloads
To meet the strict performance demands of edge deployments, the eIQ Agentic AI Framework integrates hardware-aware model preparation and automated tuning workflows. Developers can run multiple models in parallel, including vision, audio, time series, and control, while maintaining deterministic performance in constrained environments. An intelligent scheduling engine distributes workloads across CPU, NPU, and integrated accelerators, enabling perception, classification, and decision-making tasks to run concurrently. This is essential for robotics, industrial automation, smart buildings, transportation, and other real time systems.
Security at the Forefront of AI Design
AI solutions offer new pathways for malicious actors to cause harm, and security must be considered at every layer of design. Designed with security in mind, NXP’s eIQ Agentic AI Framework will include features to prevent prompt injection attacks, adversarial inputs, model spoofing and more. By bridging these software level protections with the advanced security of NXP’s edge intelligence hardware, such as secure boot, runtime isolation zones, and a hardware root of trust, NXP enables secure deployment where data integrity, safety, and resilience are critical.
Prototype Faster with eIQ AI Hub and eIQ AI Toolkit in the cloud
NXP has also introduced its new eIQ AI Hub, a cloud-based developer platform offering immediate cloud access to edge AI development tools. Developers can prototype faster with access to the latest tools and capabilities instantly, including deploying on cloud-connected hardware boards for real performance reporting, while still retaining the option for on-premise deployment. Advanced developers benefit from streamlined conversion and performance-tuning pipelines, while novice developers can rely on automated workflows that simplify each step.
The full tool suite, including eIQ Time Series Studio, eIQ GenAI Flow, and eIQ Agentic AI Framework, as well as the enhanced, modular eIQ AI Toolkit, can be accessed in the cloud via the eIQ AI Hub or downloaded for on-premise use. This modular approach allows developers to personalize their AI development toolkit and workflows, streamlining integration and reducing software overhead.
To learn more or access the eIQ Agentic AI Framework, eIQ AI Hub or eIQ AI Toolkit, you can visit www.nxp.com/eIQ.
NXP at embedded world 2026: Hall 4A, Booth 222; Hall 3A, Booth 128
