Edge Impulse

About Edge Impulse

AI for Every Edge Device

Edge Impulse is the leading development platform for building and deploying machine learning models on edge devices. From microcontrollers (MCUs) to advanced NPUs and gateways, the platform supports a wide range of hardware, enabling real-time intelligence at the edge without reliance on cloud infrastructure.

Powered by Qualcomm

Now part of Qualcomm, Edge Impulse continues to push the boundaries of embedded machine learning, helping organizations harness the power of sensor data for smarter, faster, and more efficient operations.

How Edge Impulse Works

Build, Train, Deploy—All in One Platform

Edge Impulse provides a seamless workflow for collecting data, training machine learning models, optimizing performance, and deploying directly to hardware. This includes support for computer vision, audio classification, anomaly detection, and time-series analysis.

Hardware-Agnostic Deployment

The platform is compatible with a wide variety of devices—from low-power MCUs to powerful edge gateways—ensuring that AI can be deployed where it’s needed most, with minimal resource consumption and maximum performance.

Key Features for Edge AI Development

Dataset Collection & Management

Easily gather and label sensor data (accelerometers, microphones, cameras, etc.) through an intuitive interface. Edge Impulse streamlines dataset creation, making it easier to train accurate, production-ready models.

Model Optimization for Edge

Edge Impulse includes powerful optimization tools to compress and quantize models, ensuring they run efficiently even on low-power or constrained hardware—ideal for IoT, wearables, and embedded systems.

Real-Time Deployment & Monitoring

Deploy trained models to target devices with just a few clicks, and monitor performance through integrated dashboards. Edge Impulse also supports Docker and CI/CD pipelines for scalable deployments.

Use Cases Across Industries

Manufacturing & Industrial Automation

Reduce machine downtime and improve quality control with AI-powered anomaly detection and predictive maintenance. Edge AI enables faster decision-making on the factory floor without latency or connectivity concerns.

Healthcare & Wearables

Build smart diagnostic devices, fitness trackers, and health monitors that analyze sensor data in real-time. Edge Impulse supports secure, on-device processing for sensitive applications.

Smart Agriculture

Use AI to detect crop diseases, monitor livestock behavior, or track environmental changes—all directly on edge devices deployed in the field.

Consumer Electronics

Enhance user experience with audio and gesture recognition features in smart speakers, wearables, and appliances—all powered by low-latency, on-device AI.

Benefits of Using Edge Impulse

• Hardware Flexibility: Supports MCUs, CPUs, GPUs, NPUs, cameras, and sensors
• Scalable Deployment: From prototyping to mass production
• No Cloud Dependency: On-device inference for lower latency and improved security
• Faster Time to Market: Pre-built templates, expert guidance, and community support
• Integrated Monitoring Tools: Keep track of model performance and device behavior

Who Uses Edge Impulse

Startups, researchers, and global enterprises alike use Edge Impulse to power next-gen edge AI applications. With integrations across top hardware vendors and a fast-growing ecosystem, Edge Impulse is the go-to solution for edge AI innovation.