Real-Time AI Insights: Exploring the eIQ® Time Series Studio

In an age where every sensor tick and vibration spike can tell a story, time-series data is the new frontier for intelligent edge applications. But harnessing that data—cleaning it, modeling it and deploying it—often demands deep expertise and weeks of trial and error. Enter eIQ® Time Series Studio, NXP’s free, end-to-end toolkit that brings automated machine learning (AutoML) for time-series AI to microcontrollers and applications processors.

Why Time-Series AI Matters at the Edge

Deploying AI at the edge, right where data is generated, unlocks faster decision-making, lower latency, reduced power draw and stronger data privacy (no back-and-forth to the cloud). While NXP has long championed AI for vision, voice, LLMs and generative AI, time-series AI tackles critical tasks such as anomaly detection, classification and regression in real-world, sensor-driven environments. From predicting equipment failures on factory floors to spotting early appliance malfunctions at home, time-series AI is powering next-generation use cases across industry, automotive, medical and smarthome sectors.

💡 Time-series AI transforms edge decisions – experience eIQ Time Series Studio in action. Tune into the latest EdgeVerse Techcast episode   to dive deeper.

Streamlining the ML Workflow

Most time-series projects stall in the data-wrangling phase: multiple sampling rates, noisy signals, misaligned streams and manual tuning can eat up weeks of development time. eIQ Time Series Studio solves these challenges by bringing every step into one intuitive UI.

Data Curation and Visualization

Log, clean, label, align and explore your raw sensor streams. Spot noise and trends at a glance and balance sampling rates with the built-in data intelligence utility.

AutoML Model Generation

Skip tedious trial-and-error. The integrated AutoML engine intelligently explores signal processing options and model architectures, optimizing for accuracy, memory footprint and inference speed—all without writing a line of code.

Emulation

Preview and validate how models will behave on your target microcontroller or application processor.

One-Click Deployment

When you’re ready, eIQ Time Series Studio generates a custom library targeting various supported cores (CPU, NPU, DSP) and is compatible with MCUXpresso, CodeWarrior, IAR and GCC . Two simple API calls—initialize and infer—get your model running on NXP hardware.

Real-World Use Cases

Industrial Automation

Detect early signs of bearing wear or abnormal vibration in robotic assembly lines—preventing costly downtime and extending equipment lifespan.

Smart Appliances

Monitor washing machines and refrigerators for unusual sounds or temperature spikes, alerting maintenance before small issues become big headaches.

Safety and Reliability

Leverage arc-fault detection to catch electrical anomalies that could spark wildfires, bringing life-saving intelligence to energy and building systems.

Making Edge AI Accessible

Perhaps the most disruptive aspect of eIQ Time Series Studio is its cost: free. By removing licensing barriers and embedding powerful AI workflows into a single, unified tool, NXP empowers developers of all skill levels, from embedded novices to seasoned ML engineers, to deliver real-time intelligence where it matters most.

Get Started Today

Ready to turn your sensor data into actionable AI? Download the full eIQ Toolkit —including Time Series Studio. We can’t wait to see what you’ll build at the edge.

Author | Ted K.

Ted Kao is the AI product marketing director at NXP, responsible for AI/ML enablement and marketing. With over 20 years of experience productizing innovative technologies, Ted leverages his expertise to drive the democratization of AI/ML across NXP’s edge processor portfolio. Prior to joining NXP, He led product marketing, strategic partnerships and product line management across NPU, microprocessors, microcontrollers, and advanced HMI, audio and multimedia solutions. He is based in Irvine, CA.