Our advanced middleware, designed for embedded Linux systems, offers a powerful and flexible SDK capable of efficiently collecting and managing data from a wide range of sensors and actuators. It supports industrial field buses such as CAN and Modbus, as well as GNSS interfaces for precise positioning and tracking.

Thanks to the integration with hardware accelerators for neural networks, we reduce latency and enhance overall system performance. The modular architecture ensures maximum flexibility when integrating with existing systems, simplifying interaction management and streamlining the orchestration of complex pipelines and workflows.

The platform is designed to run Artificial Intelligence (AI) and Machine Learning (ML) models directly at the edge, optimizing response times through local processing. This approach reduces dependence on the cloud, improves responsiveness, and enables real-time applications even in remote environments or in areas with limited connectivity.

Finally, support for a wide range of industrial communication protocols and integration with advanced wireless connectivity modules—including 5G modems, Wi-Fi, and Bluetooth—ensures secure, fast, and reliable data transmission for complete, uncompromised connectivity.

Our software architecture, built on Linux, is designed to ensure the middleware’s independence from the specific hardware configurations of embedded devices. This approach enables broad compatibility with various hardware platforms, offering maximum flexibility for integration in diverse industrial and production environments.

The figure illustrates the system’s modularity and its connection with the Linux operating system, showcasing how the architecture supports efficient management of data collection, processing, and communication. This modular design allows for optimized performance, streamlined integration with existing systems, and scalability for future applications.