Firmware Engineering for Connected Products

Services

Firmware Engineering for Connected Products

Overview

We build secure, interoperable, and update-ready embedded systems. Our firmware integrates edge computing, end-to-end encryption, and multi-protocol support—accelerating your time-to-market while meeting the strictest cybersecurity standards.

Firmware Engineering

RTOS & Edge AI

Real-time systems with on-device ML for intelligent, autonomous operation.

Cybersecurity

End-to-end encryption, secure boot, and hardware-backed key storage.

Interoperability

Matter, Thread, Zigbee, and BLE for cross-ecosystem compatibility.

Why Firmware Architecture Matters

Why Firmware Architecture Matters

Well-structured firmware reduces development risk, accelerates time-to-market, and keeps products maintainable for years.

  • Modular RTOS-based patterns for faster development cycles
  • Edge computing readiness for on-device AI and local decision-making
  • Protocol abstraction for multi-standard interoperability (Matter, Thread, Zigbee)
  • Robust testability and simplified long-term maintenance
Cybersecurity & Encrypted OTA

Cybersecurity & Encrypted OTA

Security is not optional in IoT. We implement defense-in-depth with end-to-end encryption at every layer.

  • End-to-end encrypted firmware delivery and secure storage
  • Digitally signed images preventing unauthorized code execution
  • Compliance with ETSI EN 303 645 and RED cybersecurity requirements
  • Hardware-backed security (TrustZone, Secure Elements, TPM)
  • Fail-safe rollback and staged rollouts for fleet management

Firmware for Regulatory Compliance

In radio-enabled devices, firmware is critical for compliance. We integrate regulatory and cybersecurity constraints from day one.

  • Precise radio operation modes and duty cycle management
  • Transmission timing and power limit control per region
  • Cybersecurity features aligned with RED 3.3(d/e/f) requirements
  • Logging and diagnostic tools for pre-compliance validation

Edge AI & Cloud Integration

We deploy intelligence at the edge, enabling real-time decisions without cloud latency or connectivity dependencies.

  • TinyML inference integrated with power management and real-time control
  • Anomaly detection, sensor fusion, and predictive maintenance on-device
  • Seamless cloud integration (AWS IoT, Azure IoT Hub) with encrypted channels
  • Certificate-based mutual authentication for device and server