Building a Custom Linux Distribution with the Yocto Project
Learn how to build a tailored, production-ready Linux distribution for embedded targets …
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We design and build production-grade embedded systems, AI pipelines, and robotics solutions running reliably on constrained hardware.
Embedded System | RDK RND | Machine Learning | Robotics
Four deep technical disciplines, each built on years of production experience in real hardware environments.
Custom Linux images, BSP development, device drivers, and production firmware for constrained hardware.
RDK-B gateway development, TR-069 ACS integration, Wi-Fi management, and smart home middleware.
Edge inference, domain-specific RAG chatbots, agentic automation, MLOps pipelines, and anomaly detection.
ROS 2 perception stacks, SLAM navigation, computer vision pipelines, and full robotic system integration.
CAD-to-simulation workflows, parametric design for enclosures, and Gazebo-based software-in-the-loop testing.
Custom MQTT dashboards, TinyML on microcontrollers, and end-to-end IoT data pipeline development.
Secure APIs, device telemetry pipelines, dashboards, and cloud integrations that connect reliably to edge hardware.
Test strategy, automation, and validation checklists for stability, performance, and release readiness.
Worksprout builds software that runs where others stop - on embedded hardware with tight power budgets, constrained memory, and zero tolerance for downtime. Our engineers have shipped production firmware to commercial gateways, deployed AI models to edge devices, and built robotic systems that operate in real environments.
Based in Rajshahi, Bangladesh, we serve clients across Asia, Europe, and North America who need embedded intelligence that actually works in the field.
Learn About UsEvery decision made with hardware constraints in mind - power, memory, and thermal limits are design inputs.
Code that ships to real products. We own the complete path from bootloader to cloud backend.
We deploy ML models on Jetson Nano, Raspberry Pi, and bare-metal MCUs wherever the data lives.
We don't just write code - we engineer systems. Here is what makes working with us different.
Years of specialised experience in RDK-B, Yocto, embedded Linux, and production AI deployment.
We deploy neural networks on hardware with a 5W power budget. Not many teams can do that reliably.
We contribute to Yocto, RDK-B, and ROS 2. Our work improves the ecosystem we build on.
From BSP to cloud API - one team owns the complete stack. No integration surprises.
Technical writing from the engineers who build these systems every day.
Learn how to build a tailored, production-ready Linux distribution for embedded targets …
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OpenSCAD treats 3D models as code. Every dimension is a variable, every …
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A practical guide to configuring U-Boot for custom hardware, optimising boot time, …
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Memory safety bugs—use-after-free, buffer overflows, data races—account for a large portion of …
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How to configure, trim, and optimise the Linux kernel for embedded targets …
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Deploying ML models on robots requires a different mindset than cloud inference: …
Read MoreEverything you need to know about our embedded and AI engineering services.
We work with Raspberry Pi 4/5, Jetson Nano, Banana Pi M5, STM32, ESP32, and custom boards. With Yocto, we can target most ARM/x86 platforms with a supported BSP.
Pre-built distributions include thousands of packages you do not need, bloating your rootfs and attack surface. Yocto builds exactly what you specify - minimal footprint, predictable boot time, and full control over every component. For production embedded hardware, this difference is critical.
Most common: CcspWifi for Wi-Fi management stack integration, CcspTr069 for ACS connectivity, custom CcspComponents for proprietary feature exposure through TR-181, and parodus2ccsp for WebPA cloud service integration.
Fine-tuning retrains the model on your data - expensive, slow to update, and still prone to hallucination. RAG retrieves relevant documents at query time, grounding every response in your actual data. For domain-specific applications, RAG is almost always the better choice: cheaper, faster to update, and fully auditable.
Gazebo (Ignition Gazebo for ROS 2 Humble+). All robots are described in URDF and fully tested in simulation before physical deployment. We run navigation and perception tests headlessly in Gazebo on every CI push.
Pre-built distributions include thousands of packages you do not need, bloating your rootfs and attack surface. Yocto builds exactly what you specify - minimal footprint, predictable boot time, and full control over every component. For production embedded hardware, this difference is critical.
From embedded firmware to AI inference pipelines - tell us about your next project and we will show you what is possible.
We build and optimize high-performance firmware using RDK-B, Yocto, and Embedded Linux—ensuring reliable, secure, and scalable systems.
Rajshahi, Bangladesh
Mon–Fri: 8AM–5PM