Empower Your Devices with Edge AI

Can Your Edge Hardware Handle AI Demands?
Edge computing and AI present unique hardware challenges—from real-time inference demands to power constraints and robust connectivity.
Is Your Hardware Powerful Enough for Real-Time AI?
On-device AI demands high-performance GPUs or NPUs to run neural networks without delays.
Can You Achieve Ultra-Low Latency at the Edge?
Edge deployments need response times under milliseconds for real-time decision making.
Does Your Device Support Secure Edge-to-Cloud Connectivity?
Reliable and secure MQTT, Azure IoT, or AWS IoT integration is critical for sensitive edge data.
Purpose-Built Mini-ITX Boards for AI at the Edge
We engineer boards specifically optimized for edge computing and AI inference tasks, ensuring maximum speed and minimal power use.
AI Accelerator Options
Integrated GPUs (NVIDIA Jetson, Intel Iris Xe), NPUs (Google Coral TPU, Intel Movidius VPU), with inference speeds ranging 2-4 TOPS. Perfect for computer vision, real-time anomaly detection, and predictive analytics in edge scenarios.
Optimized Power Efficiency
Hardware-level power management utilizing advanced sleep states, clock gating, and power gating techniques, achieving active-mode power efficiency improvements of up to 40%.
Robust Connectivity & Protocol Flexibility
Built-in support for advanced communication protocols (LoRaWAN, MQTT-SN, Zigbee), high-throughput networking (Wi-Fi 6E, private 5G networks), ensuring reliable data exchange even in congested RF environments.
Advanced Edge Security & Privacy
Hardware-level encryption (AES-256), Trusted Execution Environments (TEE), secure firmware updates (OTA), and anti-tampering measures built into every board, safeguarding sensitive data and critical AI models.

Take Your Edge AI Project Forward
Ready to deploy powerful edge computing and AI inferencing? Request a fast, personalized quotation for your tailored Mini-ITX boards today.
Built for Real Security Devices
Edge AI & Computing Success Stories
See how our tailored Mini-ITX boards have enabled real-time AI analytics, ultra-low latency responses, and seamless integration in real-world edge deployments.
Real-Time Defect Detection for Manufacturing
A manufacturing firm needed to inspect products instantly on high-speed conveyors. Our Mini-ITX solution with onboard GPU inference and USB 3.0 camera inputs reduced inspection time by 90% and improved accuracy to 99%.
Retail Analytics & Customer Behavior Tracking
Retail chains sought insights into shopper behaviors. We delivered a custom board featuring 4K video analytics and TensorFlow Lite integration, boosting marketing insights by 50% and cutting cloud analytics costs by 40%.
Smart Agricultural Monitoring System
Farmers required real-time crop health monitoring. With an ARM-based edge board supporting LoRaWAN and AI-based environmental analytics, our solution improved crop yield predictions by 30% and reduced irrigation costs by 20%.
Urban Surveillance & Public Safety
A city needed instant anomaly detection from surveillance cameras. Our custom Mini-ITX board integrated AI vision inferencing, enabling real-time alerts within milliseconds and increasing public safety responsiveness by 35%.
Why AI Developers Trust Our Edge Boards
Our boards bring expert engineering and advanced AI computing directly to your deployment sites.
4 TOPS AI Inferencing
Instant results with TensorFlow & ONNX
<5ms Latency Response
Ultra-fast real-time analytics
EdgeX, AWS, Azure Integration
Easy cloud interoperability



Boston, Massachusetts, USA
“With their custom Mini-ITX boards, our edge analytics improved dramatically—delivering lightning-fast, accurate inferencing. We gained instant insights, increased reliability, and reduced cloud costs significantly.”
Clarify Edge AI & Computing Jargon
Confused by terms like “TOPS,” “EdgeX,” “inference,” or “MQTT”? Browse our glossary to master the language of AI at the edge.
Stay Ahead with AI & Edge Insights
Read articles, tutorials, and guides on edge computing, neural network optimization, AI inferencing hardware, and edge-to-cloud security.
Intel Celeron N150: Balancing Power, Performance, and Practical Efficiency in Compact Systems
Table of Contents 1. Introduction: The Role of the N150 in Modern Embedded Platforms 2. CPU Microarchitecture and Platform Integration 3. Thermal Design and Power Consumption in Real Deployments 4.…
Intel Celeron N300: Engineering Low-Power Performance for Modern Embedded Systems
Table of Contents Introduction: The N300’s Place in Embedded and SFF Markets Architecture & SoC Integration Power Consumption & Idle Realities BIOS & Tuning for Sustained Performance Thermal Performance &…