Welcome to the Future of Embedded Systems
For years, we’ve delivered reliable embedded solutions known for their precision, efficiency, and durability. Now, we’re taking the next step: Edge AI.
By bringing Artificial Intelligence directly to the device—at the edge—we enable real-time analysis, automation, and decision-making without relying on the cloud. That means maximum control and minimal latency.
What Is Edge AI?
Edge AI refers to the deployment of artificial intelligence on devices that process data locally, such as microcontrollers, FPGAs, or embedded Linux systems. AI models run directly on the hardware where data is generated—no constant internet connection needed.
Key benefits:
- Fast – thanks to on-device processing
- Secure – sensitive data stays local
- Efficient – optimized for power and performance
Our Expertise
We combine deep knowledge in embedded development with cutting-edge machine learning. Our offerings include:
- Model Optimization for Embedded Hardware
Quantization, pruning, and knowledge distillation for MCUs, DSPs, and more - Integration of AI Frameworks
TensorFlow Lite, PyTorch Mobile, Edge Impulse, ONNX Runtime, and others - Custom Edge AI Solutions
From data collection and model training to firmware deployment
References & Real-World Projects
We’ve already delivered successful Edge AI applications, including:
- Wear State Detection of a Hoover Brush
Using Random Forests and Logistic Regression models, we classify the brush condition to predict when replacement or cleaning is needed – running directly on embedded hardware. - Predictive Maintenance in Motor Control Systems
By analyzing sensor and control data in real time, we detect early warning signs of wear and mechanical failure. Deployed models provide local, actionable insights without relying on cloud processing.
Let’s Build the Next Innovation – Together
Whether you’re working on a prototype or preparing for production, we’re ready to help bring your vision to life. Possible application areas include:
- Smart sensors for predictive maintenance
Vibration, temperature, or current sensors with built-in anomaly detection - AI-powered building automation
Local presence detection for energy-efficient lighting and climate control - Wearables with speech or gesture recognition
Offline voice command recognition – private and responsive - Smart agriculture
On-device crop or pest monitoring via embedded vision and ML
Let’s Talk About What’s Possible
Have an idea, challenge, or use case in mind? Let’s explore what we can achieve together with Edge AI. Your domain knowledge combined with our embedded expertise is the perfect match for innovation.
👉 Contact us for a free initial consultation – and bring intelligence to the edge, where it truly makes a difference.