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Our expertise

We help you integrate AI into your embedded systems

From system design to real-world deployment, we provide comprehensive engineering services to help teams integrate AI into their solutions.

Computer Vision at the Edge

We provide full-stack computer vision solutions, from sensor data capture (RGB, LiDAR, thermal) to deployment. We design custom, high-performance models optimized for real-time inference using dedicated hardware accelerators (GPUs, NPUs).

MLOps for Resilient Edge Deployments

We optimize model architectures (quantization, pruning) and compile them to efficiently harness Neural Processing Units (NPUs) and specialized hardware. This ensures minimal power consumption and maximum real-time throughput.

Model Optimization & Hardware Acceleration

We optimize model architectures (quantization, pruning) and compile them to efficiently harness Neural Processing Units (NPUs) and specialized hardware. This ensures minimal power consumption and maximum real-time throughput.

Time-Series Analysis

We transform acoustic and sensor data (vibration, temperature, pressure) into real-time actionable insights. From predictive maintenance to private sound processing, our expertise ensures low-latency, secure AI analysis directly on your IoT devices.

Our languages and libraries

Our platforms

Transverse and certified know-how

Savoir-faire Linux is with you every step of the way.

Our multidisciplinary team offers services covering all the technical aspects of a project. From initial project design to multi-channel deployment.

Your satisfaction is at the heart of our approach.

Savoir-faire Linux is based on a quality management system to meet technological evolutions, corporate diversification and globalization. Each project complies with quality standards, proposed and validated at the launch of each project.

Les autres services

  • Connected Devices and Product Engineering
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  • Digital Innovation, Web and Mobility
  • Infrastructures, Cloud Computing and Systems Architecture
  • Knowledge Economy and Training