AI That Builds Production-Ready Models for NXP Devices

From Data to Deployment in Days, Not Months

A purpose-built partnership to simplify the last mile of Edge AI deployment
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Deploying AI on embedded and edge devices has historically been slow, fragile, and hardware-specific. Even when teams have strong data and capable silicon, getting a custom model to run reliably on a specific device can take months—or longer.

ModelCat and NXP Semiconductors partnered to eliminate that bottleneck.

Together, we enable NXP customers to generate custom, production-ready machine learning models fully optimized for NXP devices automatically. Models are delivered in three days or less and are validated on real hardware before deployment.

After the Demo

How the ModelCat and NXP Solution Works

ModelCat integrates directly with NXP’s eIQ AI software ecosystem, allowing teams to generate and deploy productioncustom AI models optimized for NXP silicon. In addition to generating fully custom models from data, ModelCat also supports model retargeting across compatible NXP devices, enabling teams to adapt and redeploy efficiently as hardware requirements evolve.

Typical workflow:

01

Engineer reviews your submission

Upload your prepared training data or trained model

02

We assess fit honestly

Select a target NXP device

03

Scope a pilot project

ModelCat automatically generates a model optimized for that hardware

04

Your engineers own it

The model is validated on real NXP hardware

05

Your engineers own it

Deploy to production using NXP’s eIQ AI development environment

Why This Partnership Exists

NXP’s silicon portfolio powers millions of intelligent products across industrial, automotive, IoT, and consumer applications. But as AI workloads move closer to the edge, one challenge has become clear: hardware capability is advancing faster than the tools required to build and deploy production AI systems on that hardware.

Traditional AI workflows weren’t designed for:

  • Tight memory and power constraints
  • Device-specific acceleration paths
  • Real-world latency and reliability requirements

As a result, teams often get stuck in endless cycles of manual tuning, testing, and redeployment just to get a model running consistently on a specific device.

ModelCat helps NXP customers close that gap by guiding developers through the process of generating and validating AI models optimized for their target devices.

Through its integration with NXP’s eIQ AI software ecosystem, ModelCat enables developers to move from data to a ready-to-run model without manual tuning, compilers, or endless trial-and-error iterations.

eIQ Model Creator

Powered by ModelCat

eIQ Model Creator powered by ModelCat extends NXP’s eIQ AI software development environment with fully automated model creation and optimization.

Instead of manually building, tuning, and debugging models, teams can now:

  • Upload prepared data
  • Select a target NXP device
  • Automatically generate a model optimized for that exact hardware

The result is a precision-fit model that accounts for:

  • Device architecture
  • Available NPUs and accelerators
  • Memory footprint
  • Execution speed
  • Power consumption

All before deployment—before time, cost, and risk compound. This ensures models are deployment-ready the moment they reach the device, not months later.

WHy Teams Book A Demo

How This Empowers NXP Customers

From 12–24 months to a few days

ModelCat reduces the traditional AI development cycle from months or years to days, dramatically accelerating time-to-market for NXP-based products.

Hardware-aware from day one

Models are built for the device they will run on, not adapted after the fact.

No dependency on AI specialists

Engineers, product teams, and data scientists can all generate production-grade models without deep ML expertise.

Fewer surprises in production

Models are validated on real hardware early, reducing late-stage failures and rework.

OUR VALUES

Supported NXP Devices

eIQ Model Creator powered by ModelCat supports a broad range of NXP devices, including:

  • MCX microcontrollers
  • i.MX RT crossover MCUs
  • i.MX application processors
    (including i.MX 8M Plus, i.MX 93, and i.MX 95)

This unified approach allows teams to:

  • Develop once
  • Deploy across multiple performance tiers
  • Scale products without changing tools or workflows

OUR VALUES

Built for the Realities
of Edge AI

This partnership reflects a shared philosophy: Production AI must be designed around real constraints, not theoretical benchmarks.

ModelCat’s platform automatically adapts models to the realities of embedded systems, balancing accuracy, latency, power, and memory based on the target device.

That makes the solution especially well-suited for:

Industrial automation

Vision and sensing applications

Time-series and signal-based AI

Always-on, low-power systems

WHAT NXP SAYS

“This collaboration with ModelCat puts powerful AI capability into the hands of more NXP customers. By integrating eIQ Model Creator powered by ModelCat into our ecosystem, we’re enabling developers to unlock new use cases for our broad silicon lines—without the time, cost, and complexity of building AI models from scratch.”

Ajith Mekkoth

Executive Vice President, Engineering, NXP Semiconductors

See It in Action

eIQ Model Creator powered by ModelCat debuted at NXP Tech Days, where attendees experienced live demonstrations of automated, hardware-validated AI model creation.

NXP customers can access trial versions through official NXP development kits, with full versions available directly from ModelCat.

Start Your eIQ Model Creator Test Drive
Build AI That Actually Ships
If you’re building on NXP devices and want AI models that operate reliably under real-world deployment constraints —not just in theory—ModelCat works with your team to provide a faster, safer, and more reliable path from data to deployment.
Contact us to discuss your needs, challenges, and projects