Services
End-to-end embedded and IoT expertise
From bare-metal bring-up to cloud observability — we cover the full stack so your team doesn't have to.
Embedded & IoT Engineering
When you need us
- Product teams stuck on BSP bring-up or integration
- Products that need both low-level Linux and cloud connectivity
- Edge devices requiring optimized ML inference
- Teams inheriting undocumented or EOL embedded systems
- Products that need hardware-bound security or licensing
- Teams shipping firmware without automated validation
Board bring-up & Linux BSP
Yocto, Buildroot, bootloader customization for custom hardware platforms.
Device drivers & kernel modules
Custom peripherals, I2C/SPI/UART, industrial buses, and real-time extensions.
C/C++ firmware development
Performance-optimized firmware with clean architecture your team can own.
Edge AI integration
Model quantization and pruning for resource-constrained devices (NVIDIA Jetson, i.MX, etc.).
IoT & Cloud Connectivity
MQTT/AMQP integration, AWS IoT / Azure IoT Hub, device shadow, and OTA update pipelines.
Security & Licensing
Hardware-bound licensing, secure boot, and anti-cloning for shipped products.
Embedded CI/CD
QEMU-based firmware testing, hardware-in-the-loop pipelines, and signed image builds.
Security & Licensing
Real-world outcomes
- License enforcement without customer friction
- Compliance with IoT security regulations
- Protection against firmware reverse engineering
TPM 2.0-based licensing
Device-bound anti-cloning with hardware root of trust. No license server fragility.
Hardware crypto engine integration
CAAM and similar — key storage, encryption, and signing in hardware.
Secure boot chain
Implementation and validation of full verified boot from bootloader to userspace.
Device identity & provisioning
Certificate lifecycle, device onboarding, and access control workflows.
IoT Cloud Integration
Platform architecture
AWS IoT Core or Azure IoT Hub — selection, design, and end-to-end implementation.
Secure device onboarding
Certificate provisioning, identity management, and least-privilege access control.
Data models & MQTT topics
Bidirectional communication, shadow/twin state, OTA update pipelines.
Fleet management & scalability
Patterns for managing thousands of devices without operational complexity.
AI-Driven Observability & Predictive Analytics
Cloud or private — your choice
We integrate AI intelligence into your existing observability stack (ELK, OpenSearch, Grafana) using cloud APIs or privately hosted OSS models — depending on your data residency and security policy.
Business impact
- 40% faster MTTR
- Week-ahead failure predictions
- Reduced support tickets through early warnings
- AI log analysis without sending telemetry to third parties
AI log & metrics analysis
LLM-powered triage of device and backend logs. Human-readable root cause summaries.
Predictive maintenance
Detect device degradation before failure. Week-ahead failure predictions in production.
Fleet-level health monitoring
Anomaly detection across thousands of IoT units — kernel panics, memory leaks, thermal drift.
Private OSS model deployment
Data cannot leave your infrastructure? We deploy and integrate open-source LLMs (Llama, Mistral, Phi) on-prem or on edge hardware — same AI capabilities, fully air-gapped.
Hard Legacy Embedded Projects
A real example
We inherited a production system built on a hand-assembled Linux with kernel 3.x, compiled on a CentOS version that had been end-of-life for years. No build documentation. No tests. The engineer who built it had left.
We could not simply rewrite it — real products depended on it. Instead: first we wrote tests that captured every observable behaviour of the existing system. Then we migrated the BSP to Buildroot, the build system to CMake, and the host environment to Ubuntu 24. Then we fixed what broke until every test passed.
The client got a system they could actually build, understand, and hand to a new engineer. Production was never interrupted.
Undocumented system takeover
We take full ownership of systems where the original author is gone and the documentation never existed. Production stays running while we learn the system from the inside.
Test-first migration methodology
Before touching anything, we write tests that capture actual system behaviour. Only then do we refactor — so every change is verifiable against what the system was doing in production.
Build system and BSP modernization
From hand-rolled Linux on EOL distributions to modern Buildroot, CMake, and supported toolchains — without rewriting the application logic.
Knowledge transfer
We document as we go. By the end of the engagement your team understands the system, can maintain it, and is not dependent on us.
Not sure which service fits?
Describe your system and we'll figure it out together. Most engagements start with a 1-week discovery call.