WHAT WE DO
Deep Expertise in Core Domains
Four specialised engineering disciplines - Embedded System, RDK RND, Machine Learning, and Robotics - each built on years of production experience.
Four specialised engineering disciplines - Embedded System, RDK RND, Machine Learning, and Robotics - each built on years of production experience.
Four deep technical disciplines, each built on years of production experience in real hardware environments.
We build custom embedded Linux platforms from bare silicon - Yocto image builds, BSP development, device driver engineering, and firmware hardening for commercial production hardware.
Full-lifecycle RDK-B gateway development including CcspComponents, TR-181 data model integration, WebPA/ACS connectivity, and Wi-Fi management stack customisation.
Production AI systems for edge and cloud - domain-specific RAG chatbots, agentic process automation, real-time edge inference, MLOps CI/CD pipelines, and anomaly detection.
ROS 2-based robotic systems including visual SLAM navigation, multi-sensor perception stacks, biomedical robotics integration, and Gazebo simulation-first development.
CAD-to-simulation workflows, parametric enclosure design for manufactured devices, and Gazebo-based software-in-the-loop validation so mechanical, electrical, and firmware teams align before hardware is cut.
Custom MQTT dashboards, TinyML on microcontrollers, protocol bridges, and end-to-end IoT data pipelines that move reliably from constrained devices to your operational backends.
Secure REST and streaming APIs, device telemetry ingestion, observability dashboards, and cloud integrations engineered to stay dependable alongside edge gateways and field hardware.
Test strategy, automated regression, performance profiling, and structured release checklists so embedded and gateway teams ship with confidence.
Each engagement is scoped clearly, with defined deliverables and measurable outcomes.
From bare silicon to production-ready firmware - complete Yocto-based embedded Linux development with BSP, drivers, and security hardening.
Complete RDK-B gateway development, customisation, and ACS integration for ISP-grade residential gateway deployments.
End-to-end AI system development - from domain-specific model training to production edge inference and MLOps pipeline deployment.
ROS 2 robotic systems with computer vision - from perception pipeline development to full autonomous navigation stack integration.
Clear technical direction before we write code — requirements capture, system architecture, and risk-driven planning aligned to your hardware and delivery constraints.
Production-ready delivery with repeatable builds, test evidence, and clean handover so your team can maintain and ship confidently.
Production-proven tools across embedded, AI, and robotics domains.
Honest answers from our engineers about how we work and what we build.
We work with Raspberry Pi 4/5, Jetson Nano, Banana Pi M5, STM32, ESP32, and custom boards. Our Yocto expertise means we can target virtually any ARM or x86 platform with a supported BSP.
Yes. All proprietary code we write is fully owned by you. Open-source components carry their own licences (GPL, LGPL, MIT). We provide a complete source code handover at project completion.
Yocto BSP integration: 2-4 weeks. Full RDK-B gateway project: 2-4 months. ML pipeline from data to deployed model: 6-10 weeks. We provide detailed estimates during the discovery phase.
Yes, we routinely work under mutual NDAs. Embedded firmware and AI model IP are extremely sensitive. Confidentiality agreements are a standard part of every client engagement.
Yes. We regularly join projects mid-stream, using the team's established conventions, CI/CD pipelines, and code review processes. We treat your existing codebase with respect.
Yes. We offer ongoing retainers covering security CVE monitoring, Yocto LTS kernel updates, performance optimisation, and on-call engineering support for production incidents.