Capabilities

From silicon to software to AI at the edge.

Six capabilities that combine into whole systems. Most engagements draw on several at once — that is the point of keeping hardware, firmware, and AI under one roof.

Embedded Systems Design & Integration

We take embedded products from a napkin sketch to hardware you can field. That means architecture and part selection, schematic and board bring-up, the firmware that runs on it, and the integration work that makes the whole system behave as one product rather than a pile of subsystems. We favour designs that are testable on the bench and debuggable in the field.

Typical deliverables

System architecture and component selection
Schematic capture, board bring-up, and hardware debug
Bootloaders, drivers, and board support packages
Integration test rigs and bring-up documentation
Design-for-manufacture review ahead of production

Tools & platforms

ARM Cortex-MESP32Nordic nRFSTM32RTOSZephyr

Edge AI & On-Device ML

Not every problem should make a round trip to the cloud. We build models that run on the device itself, where latency is measured in milliseconds, data never leaves the hardware, and the product keeps working when the network doesn't. The engineering is as much about quantisation, memory budgets, and power draw as it is about model accuracy.

Typical deliverables

Model selection, training, and evaluation against field data
Quantisation and pruning to fit MCU-class memory budgets
On-device inference pipelines with measured latency and power
Data collection and labelling workflows
Accuracy-versus-power trade-off analysis

Tools & platforms

TensorFlow Lite MicroONNX RuntimePyTorchCMSIS-NNEdge Impulse

Custom Software & Firmware

Firmware that has to run unattended for years is a different discipline from software you can restart. We write for that standard: bounded memory, defined failure behaviour, and update paths that can't brick a deployed fleet. Above the firmware, we build the services, APIs, and interfaces that turn a device into a product people can actually operate.

Typical deliverables

Production firmware with unit and hardware-in-the-loop tests
Secure over-the-air update and rollback paths
Device APIs, backend services, and data pipelines
Operator dashboards and configuration tooling
CI pipelines, code review standards, and technical documentation

Tools & platforms

C / C++RustPythonTypeScriptNext.jsPostgreSQL

Ultra-Low-Power Wireless

Battery life is a systems problem, not a component choice. We budget energy across the radio, the duty cycle, the sensor, and the firmware together, then measure the result rather than trusting the datasheet. The target is a device that survives its stated service life in the environment it actually ships into.

Typical deliverables

Radio and protocol selection against range, power, and topology needs
Measured power budgets and projected battery life
Provisioning, pairing, and network commissioning flows
RF bring-up, antenna tuning, and range validation
Pre-compliance guidance ahead of certification

Tools & platforms

BLEThread / MatterLoRaWANZigbeeWi-Fi

Sensor Systems & Electronics

Measurement is where most sensing products quietly fail. We design the analogue front end, conditioning, and calibration that turn a weak physical signal into a number you can defend — including the drift, noise, and environmental effects that only show up once the device is deployed.

Typical deliverables

Sensor selection and analogue front-end design
Signal conditioning, filtering, and noise analysis
Calibration procedures and compensation routines
Environmental and drift characterisation
Data validation and quality-of-measurement reporting

Tools & platforms

Analog front endsMEMSEnvironmental sensingSignal processing

Technology & Management Consulting

Sometimes the useful deliverable is a decision, not a device. We help teams scope what is genuinely buildable, review architectures before they become expensive, and give an independent read on technical risk — including the honest answer when a proposed approach won't survive contact with the field.

Typical deliverables

Technical feasibility studies and architecture review
Build-versus-buy and vendor evaluation
Technology roadmaps and phased delivery plans
Independent risk assessment for embedded and AI programmes
Proposal and statement-of-work technical support

Tools & platforms

Architecture reviewRisk assessmentRoadmappingDue diligence

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Download our capability statement

Core competencies, differentiators, and company data — generated fresh from the same source as this site.

Capability statement (PDF)

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