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Firmware and embedded software development

Microcontroller firmware, embedded Linux and AI Edge, for products that hold up in real-world conditions.

Does your electronic system need high-performance firmware?

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Whether you are developing a new product or upgrading an existing system, embedded software is at the heart of performance:

 

➔ Firmware development or optimization

➔ Integration of sensors and modules

➔ Communication between systems (BLE/LoRaWAN, Zigbee, etc.)

➔ Real-time operating system (RTOS)

➔ Need for embedded intelligence (Edge AI)

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Poorly designed software can limit the performance of the entire product.

Our areas of expertise

Rivinnov develops embedded software tailored to your product architecture and industrial constraints. We work on:

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Firmware , drivers, real-time management, state machines, real time using FreeRTOS or Zephyr, memory and power consumption optimization. We know how to fit a complete application into less than 256 KB of flash memory when the hardware budget requires it.

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Embedded Linux porting to ARM boards, Buildroot or Yocto customization, kernel drivers, application services, secure system update.

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Connectivity and IoT: BLE, LoRaWAN, Wi-Fi, LTE-M/NB-IoT, MQTT, proprietary protocols. Provisioning, reconnection, network loss management — the part that always breaks in production if not handled seriously.

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Edge AI (Embedded AI): Anomaly detection, signal classification, pattern recognition, executed on a microcontroller with TensorFlow Lite Micro or in-house optimized models. Latency of a few milliseconds, no data sent to the cloud—a key advantage in healthcare, defense, and industry.

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Remote updates and secure OTA lifecycle, bootloader with rollback, versioning, telemetry. A connected product that cannot be updated is a product that cannot be fixed.

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Reliable, high-performance and scalable embedded software.

From bare-metal to cloud, with the same team

Edge AI integration

We integrate advanced algorithms directly into your embedded systems:

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  • Real-time signal processing

  • Embedded data analysis

  • Machine learning on microcontrollers and embedded systems

  • Optimizing local performance (without cloud dependency)

  • A key technology for innovative products in IoT, healthcare, industry, or robotics.

Software designed to integrate into a complete product

Firmware cannot be developed in isolation. Rivinnov works in conjunction with:

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  • Onboard electronics

  • Prototyping

  • The constraints of industrialization


A comprehensive approach to ensure system consistency.

Software testing and validation

We guarantee the quality and reliability of the embedded software:

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  • Debugging and error correction

  • Performance optimization

  • Validation of behavior under real-world conditions

  • System stability and robustness

 

A firmware that runs continuously for several weeks without restarting, not a demo that lasts ten minutes.

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Mastered technologies

  • C/C++

  • Embedded Linux

  • 16/32 bit STM32 microcontrollers/
    ESP32

  • Edge AI

  • Communication protocols (UART, SPI, I2C, BLE, LoRa, WiFi, 4G)

  • Versioning and integration tools

Examples of projects

Rivinnov works on different types of projects

 

➔ Firmware development for connected devices

➔ Embedded systems with data processing

➔ IoT applications with multi-protocol communication

➔ Integration of embedded algorithms on microcontrollers

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Do you have an embedded software project?

Let's discuss your needs and identify the best software architecture for your system.

FAQ

  • Simple firmware—sensor acquisition, local logic, and serial communication—typically starts at around €8,000 to €12,000. Connected firmware with a BLE or LoRa stack, OTA updates, and power management generally ranges from €15,000 to €40,000. Embedded AI typically adds another €10,000 to €25,000, depending on the availability of training data.

  • Yes. We begin with a 3- to 5-day code audit to assess the technical debt, identify risks, and estimate the work required going forward. This is a common approach when taking over an existing development project or preparing a product for its next stage of evolution.

  • Yes, for targeted applications such as vibration anomaly detection, sound identification, sensor signal classification, and person or gesture recognition. A quantized model typically fits within a few tens to a few hundreds of kilobytes and can run in just a few milliseconds on a Cortex-M4 or Cortex-M7 microcontroller. Processing remains entirely on the device, eliminating network latency, cloud costs, and the need to transmit data outside the product.

  • Yes. Provide us with the schematics and an existing board, and we’ll develop on that platform. If we identify a blocking hardware issue, we’ll let you know before development begins—not halfway through the project.

  • We offer an annual maintenance agreement covering bug fixes, dependency updates, and minor feature enhancements.

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