NXP Semiconductors in now offering the eIQ Agentic AI Framework, advancing its leadership in secure, real-time edge AI, earlier this month.
This 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.
NXP’s Dachs Comment
“With the new agentic AI capabilities delivered by the eIQ Agentic AI Framework, Charles Dachs, Executive Vice President and General Manager, Secure Connected Edge, NXP, said the company is bringing autonomy to edge AI devices and delivering a crucial building block for our long‑term edge AI vision,”
“We’re empowering both novice and experienced developers with a secure, real‑time, hardware‑optimized software platform to quickly deploy similar AI-enabled functions to new use cases, improving time to market and reducing development overhead,” said Dachs in a statement.
A Flexible Platform for Every Developer
With 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, according to company officials.
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.
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.
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.
Additionally, NXP 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.