Simplify your workflow with Edge Impulse

Our platform and pre-built ML models make developing, deploying, and managing edge AI applications faster and more accessible. Work with your team to train models using your sensor data, and deploy them to any edge device.

Get started

Close to 100,000 engineers
already adopted Edge Impulse.

Performance model profiling

Analize the impact of your decisions through real-time on-device performance profiling throughout the platform.

AutoML

Utilize AutoML capabilities to optimize machine learning models for accuracy and on-device performance, even with limited data.

Optimized C++ libraries

Leverage the EON Compiler to convert any model to an optimized C++ library able to leverage any hardware acceleration capabilities.

ML without a PhD

Use the EON Tuner to build the perfect ML pipeline finding the right balance between DSP configuration and model architecture, all budgeted against memory and latency constraints.

Edge Impulse interface showing an accuracy confusion matrix alongside performance donut charts for latency (100 ms), RAM (128 KB), and flash (1024 KB), with segments for DSP, neural network, and unused resources—illustrating how the EON Tuner helps build an optimal ML pipeline balancing DSP configuration and model architecture within memory and latency limits, without needing a PhD.

Edge Impulse empowers you to develop with ease and flexibility—visualizing feature importance, streaming raw sensor data, and instantly seeing on‑device performance metrics like 12 ms inference time, 1.7 KB RAM, and 18.4 KB flash. Bring your own DSP algorithms or leverage built‑in ones to extract features and optimize edge AI performance effortlessly.

Develop with ease and flexiblity

Bring your own DSP algorithms or use the pre-built algorithms to extract features from raw data and optimize the on-device inference performance, while analizing the impact of your decisions through real-time on-device performance estimates and the ability to analize with features are more important.

Optimized AI for all edge
hardware

Logos of leading hardware partners including NVIDIA, Sony, Arduino, Texas Instruments, Nordic Semiconductor, and more—showcasing how Edge Impulse delivers optimized AI solutions that run seamlessly on virtually any edge device.

Edge Impulse Hardware Ecosystem

Benefit from access and integrations to the leading hardware partner ecosystem from MCUs to MPUs to GPUs and accelerators to generate portable embedded libraries optimized for your edge hardware target.

Optimized AI for all edge hardware — achieve up to 70% less RAM usage and up to 40% less ROM usage with Edge Impulse’s advanced compiler and model optimization technology.

Edge Optimized Neural (EON™) Compiler

Lighter and faster neural network with equal accuracy. The EON™ Compiler lets you run neural networks up to 70% less RAM*, and up to 40% less flash*, compared to TensorFlow Lite for Microcontrollers.

*compared to industry standard frameworks.

Evaluate and deploy with confidence

Embedded engineers around the world are using Edge Impulse to elevate their products at scale.

"The Edge Impulse tools are highly effective and have been a competitive advantage for Know Labs. It is rare to find a leading technology platform team that cares this much about making a positive impact in the world, all while maintaining a highly collaborative, positive, and customer success-focused culture."

Steve Kent

Chief Product Officer, Know Labs

"We’re aggregating sensor data to produce more useful results. With the Edge Impulse platform, we were able to find patterns in our data quickly, and develop a specialized algorithm tailored to our needs. As a startup we're always looking for quicker ways to free up time and tackle other problems that walk through the door."

Joe Boettcher

Chief Development Officer, SlateSafety