Edge AI hardware development and on-device intelligence for low-latency, production-ready devices.
Edge AI Hardware & On-Device Intelligence
ZedIoT specializes in edge AI hardware and on-device intelligence, enabling real-time inference, optimized data processing, and reliable automation directly on devices. We integrate AI-capable MCUs, NPUs, and edge accelerators to deliver low-latency, low-power AI hardware for production-ready IoT systems.

We deliver end-to-end edge AI hardware development for on-device intelligence, covering hardware architecture, embedded AI software, model optimization, and production-ready system integration.

We design edge AI hardware architectures based on performance, power, and cost requirements, with ESP32-series MCUs commonly used for device control, connectivity, and lightweight on-device intelligence.

We develop embedded software and optimize on-device AI performance for edge deployment, including ESP32 firmware development using ESP-IDF to reduce latency, memory usage, and power consumption.

We optimize and adapt AI models for edge hardware through quantization, compression, and hardware-aware acceleration, ensuring models run efficiently on-device.

We integrate secure device connectivity, OTA update mechanisms, and edge-to-cloud communication to support long-term operation and maintainability of edge AI hardware.

AIoT platform featuring industrial-grade hardware, enterprise software, it offers top-tier performance, security, and functional safety.

Power the next generation of edge devices with the most advanced AI computer designed for energy-efficient autonomous systems.

Unlock the full potential of edge computing with high-performance computing, remote management, and cutting-edge technologies.

A tailored gateway development. Explore tutorials on text generation, multimodal models, and image creation.

Direct Engineer-to-Engineer Talk

Fast Technical Response & Iteration

Hardware-Centric Requirement Analysis

Agile Hardware & Firmware Dev Process
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