Single-board computing
Raspberry Pi
A versatile base for smart gateways, operator interfaces, recorders, monitoring systems, robotic prototypes and Linux-connected equipment.
In plain terms
As close to the hardware as needed—without losing operability.
Compact platforms for local processing, embedded AI, and energy, thermal, or vibration constraints. The RTOS vs Linux choice follows latency and the application ecosystem.
Deterministic software, hardware control, and board / bus / sensor integration. Integration quality often matters more than the component alone.
Environmental qualification and integration testing protect the path from lab to field. We document limits, margins and update procedures.
Linux & RTOSHybrid architectures
Edge AIVision & on-device inference
Secure IoTEncrypted telemetry
IndustrializationFrom POC to product
Our technology building blocks
A platform for every mission.
We select micro-hardware based on power, consumption, latency, environment, connectivity, and maintainability constraints. Each architecture is designed as a complete, evolvable, secured system.
AI at the edge
NVIDIA Jetson Orin
For intensive processing closest to the field: computer vision, sensor fusion, object detection, autonomous navigation, and low-latency multimodal AI agents.
Connected microcontroller
ESP32
Compact, power-efficient, and connected, the ESP32 suits autonomous sensors, distributed control, communicating devices, and Wi-Fi, Bluetooth, or mesh radio interfaces.
Real-time control
STM32, RP2040 & other MCUs
For deterministic and critical functions: motor control, fast acquisition, industrial protocols, real-time commands, signal processing, and custom electronics.
From idea to field
End-to-end systems engineering.
Micro-hardware is only one component. We integrate electronics, firmware, embedded software, cloud, communications and business interfaces into a coherent architecture.
Study and prototyping
Platform selection, feasibility study, proof of concept, test benches, and functional validation.
Firmware & software
Low-level development, embedded Linux, RTOS, drivers, APIs, local monitoring and secure updates.
Embedded intelligence
Model optimization, computer vision, local inference, video pipelines, and sensor data fusion.
Qualification & industrialization
Environmental constraints, integration testing, documentation, and the path from lab to field.
Frequently asked questions
Embedded systems — questions.
RTOS or embedded Linux?
Depending on latency and ecosystem: RTOS for hard determinism, Linux for application edge. Mixed architectures are common.
Link to IoT?
Embedded systems produce and consume streams; connectivity and the IoT platform industrialize them. Both are designed together.
Edge AI possible?
Yes — local inference on suitable compute (Jetson, NPU, MCU), with framed energy and thermal budgets.
Who produces the boards?
RDMC and/or partner design; governed industrialization (docs, supply chain, controls).
How do you manage updates?
Secure OTA when relevant, with rollback and signing. The OTA workstream is prepared from the architecture stage.
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