Silicon & Embedded Systems
Chips, boards, firmware and Linux platforms that products are built on.
Engineering Services
Eighteen capabilities, organised into six engineering areas — find the area your system lives in, then see exactly what we do inside it.
01 · Engineering areas
Each area groups three related capabilities under one engineering lead, so scope, tooling and standards stay consistent from the first conversation to the supported release. Open an area to see its capabilities in detail below.
Chips, boards, firmware and Linux platforms that products are built on.
ECU software, driver assistance and real-time validation benches for vehicles that are safe, connected and certifiable.
Production lines, machines and connected devices that sense, decide and move.
Machine learning, vision, GenAI and private AI engineered for real deployment.
Products, platforms and cloud operations from API to interface.
Evidence that a system is verified, safe and secure before it is released.
02 · Inside each area
Choose an area — the three capabilities inside it are described the same way, so comparing scope across disciplines is straightforward.
RTL to GDS for startups, product companies and technology businesses that need working silicon.
Firmware, embedded software, drivers, real-time systems, sensors and edge intelligence for connected products.
Embedded Linux platform engineering from boot and kernel layers through device software, security and OTA operations.
Vehicle electronics, ECU software, communication, diagnostics and connected-vehicle engineering across development and validation stages.
Sensor, perception, fusion, decision and validation engineering for advanced driver-assistance systems.
Hardware-in-the-loop benches and automated real-time validation for embedded, automation and vehicle controllers.
Automation engineering for production lines, industrial control, machine integration and smart manufacturing.
Control and robotics engineering for machines that sense, decide and move with repeatable behaviour.
Connected-device engineering from sensors and gateways to messaging, edge processing, device management and dashboards.
Machine learning, deep learning, computer vision, NLP and modern generative AI systems designed for real-world deployment.
AI-enabled business applications that connect enterprise knowledge, workflows, documents and users.
Local and private AI deployments for environments with privacy, connectivity, latency or operational constraints.
Digital product engineering that connects requirements, experience, architecture, integration and release.
Frontend, backend, full-stack, mobile, API and database engineering with testing and continuous delivery.
Cloud-native engineering, APIs, data pipelines, infrastructure automation, CI/CD and operational observability.
Verification and validation across embedded, automation, digital, web, mobile, API and enterprise systems.
Safety engineering activities spanning hazard analysis, requirements, architecture, verification and safety evidence.
Product and system security engineering covering embedded, automation, industrial, application and cloud environments.
03 · Tools, languages & protocols
The languages, toolchains, protocols and platforms our engineers work with, listed under the area they serve. The same base supports consultancy, training and the engineers we place.
04 · Standards & process
Requirements, reviews and test evidence follow the standards relevant to your product, so compliance is documented as the work proceeds — not reconstructed at the end.
05 · Selected client work
Business requirements, architecture and delivery — through selected client engagements. Engagements are described anonymously; ask us for a walkthrough relevant to your system.
Seller onboarding, product discovery, order fulfilment and finance in one coordinated platform.
Historical market data, strategy screening, AI-assisted analysis, dashboards and alerts.
Customer demand, service capacity and expert execution connected across mobile and operations experiences.
Engineering enquiry
Share the technology stack, the stage you are at and the outcome you need — we will propose the right area, capability mix and delivery path.