We build production-grade embedded software for resource-constrained devices — from bare-metal firmware to full Linux & Android stacks, with a focus on Edge AI and real-time image & video processing.
From sensor drivers to neural-network inference pipelines, we cover the full embedded software stack.
Deploying and optimising neural networks on constrained hardware — object detection, classification, and anomaly detection without cloud dependency.
Real-time pipelines for camera-based systems: frame capture, ISP tuning, codec integration, and computer-vision algorithms optimised for embedded CPUs & NPUs.
Proven solutions combining PIR sensors and camera feeds for reliable, low-power intrusion detection — deployed across hundreds of thousands of devices.
Bare-metal drivers, RTOS integration, BSP bring-up, and power management for microcontrollers and application processors.
We deliver production software across a wide range of hardware and OS environments.
We don't prototype — we ship reliable software that runs in the field at scale.
Our software runs on over 100,000 deployed devices across multiple product lines and geographies.
We work close to the metal — register-level drivers, custom kernels, and hardware-specific optimisations.
Privacy-first, latency-free inference running entirely on-device — no cloud required.
From requirements through integration and field validation — a single team owns the full software lifecycle.
Have an embedded project that needs expert software? We'd love to hear about it.