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Capabilities

AI/ML, cybersecurity and digital forensics, IoT and embedded systems, hardware, cloud, GIS, simulation and systems integration — ten engineering disciplines, most valuable when combined on a single programme.

Engineers sketching a system diagram together on a whiteboard

Strategy & Consulting

The most expensive engineering mistakes are made before any engineering starts. We help you decide what to build, what to buy and what to prove first — with advice from people who build these systems themselves.

Feasibility StudiesTechnology RoadmapsArchitecture ReviewDue DiligenceProgramme Assurance

What we deliver

Feasibility and concept studies with a written technical risk register
Technology roadmaps and capability-gap assessments for institutions and enterprises
Independent architecture and design reviews of programmes already in flight
Technical due diligence for investment, acquisition and vendor selection
Requirement definition, tender specification and bid evaluation support
Indigenisation strategy for imported systems and long-lead components

Engagement note

Advice is vendor-neutral. Where we recommend a build, we will also say plainly whether we are the right team for it.

A software engineer working at monitors full of code in a dim room

Software Engineering

Platforms built to be operated for years, not demoed once. We write software that can be audited, handed over, extended by another team and defended in a review.

Web PlatformsBackendMobileDesktopAPIs

What we deliver

Enterprise web platforms, operator consoles and command-and-control dashboards
High-throughput backend services, event pipelines and integration APIs
Mobile and field applications built for intermittent connectivity
Cross-platform desktop applications for engineering and analysis workflows
System integration, legacy modernisation and protocol bridging

Typical toolchain

Python · Go · Rust · TypeScript · C++ · C# · PostgreSQL · React · Flutter

A high-performance GPU accelerator on a dark surface

AI/ML & Data Engineering

Models are only useful when they run reliably where the decision is made — and only as good as the data behind them. We scope the deployment target and the data estate first, then build the model to fit both.

Computer VisionNLP & LLMsTime SeriesData PlatformsMLOps

What we deliver

Computer vision systems — detection, segmentation, tracking, defect and anomaly identification
Predictive maintenance and forecasting models on sensor and telemetry streams
Applied LLM systems — retrieval, structured extraction and tool-using assistants, including fully on-premise models
Data engineering — ingestion, warehousing, streaming and lakehouse pipelines
Annotation workflows, dataset governance and data-quality controls
MLOps: versioning, reproducible training, drift monitoring and model compression for the edge

Typical toolchain

PyTorch · ONNX Runtime · TensorRT · OpenCV · Apache Spark · Kafka · Airflow · MLflow

Rack-mounted network switches with status lights

Cybersecurity & Digital Forensics

Security work carried out under written authorisation, with findings you can act on and evidence handling that stands up to scrutiny.

VAPTSecure DesignIncident ResponseForensicsCompliance

What we deliver

Authorised penetration testing across web, mobile, network, cloud and IoT estates
Threat modelling, secure architecture review and source-code security audit
Hardware and firmware security assessment — fault injection, side channels, secure storage
Incident response, malware triage and root-cause reconstruction
Disk, memory, video and mobile forensics with documented chain of custody
Security programme support and readiness for ISO 27001 and sector-specific regimes

Engagement note

All offensive testing is performed under a signed scope and rules-of-engagement agreement.

A microcontroller board wired into a prototyping breadboard

IoT & Embedded Systems

Close to the metal, where timing is a requirement and memory is a budget — and out to the fleet, where thousands of devices have to be provisioned, updated and trusted. We take boards from first power-on to a managed, field-updatable deployment.

Bare MetalRTOSEmbedded LinuxIoT ProtocolsDevice Management

What we deliver

Firmware for ARM Cortex-M/A, RISC-V and DSP targets — bare metal or RTOS
Board bring-up, hardware abstraction layers and peripheral device drivers
Embedded Linux BSPs, kernel modules and Yocto/Buildroot images
Secure boot, signed over-the-air update and roll-back protection
Communication stacks — CAN, Modbus, MQTT, LoRa, BLE, NB-IoT and custom protocols
Device provisioning, fleet management and remote diagnostics

Typical toolchain

C · C++ · Rust · FreeRTOS · Zephyr · Yocto · MQTT · JTAG / SWD · Logic analysis

Close view of components on a printed circuit board

Hardware & Electronics

Boards designed alongside the firmware that runs on them and the enclosure that houses them — which is why they tend to work on the first spin. Mechanical design and an in-house print floor sit in the same team.

SchematicMulti-Layer PCBEMI / EMCEnclosuresPrototyping

What we deliver

Schematic capture, component selection and sourcing strategy
Multi-layer, high-density and controlled-impedance layout
Signal and power integrity analysis, EMI-aware routing and grounding strategy
RF, power supply, sensor front-end and motor-drive circuit design
Enclosure and structural design with thermal and vibration analysis
Rapid and additive prototyping, fabrication data packs and prototype bring-up

Typical toolchain

Altium Designer · KiCad · LTspice · SolidWorks · Fusion 360 · ANSYS

Blade servers in a rack lit with cool blue light

Cloud & Edge Computing

Where the compute runs is an engineering decision — shaped by latency, data sovereignty, connectivity and cost. We design and operate infrastructure across public cloud, private data centres and the edge, and place each workload deliberately.

Cloud ArchitectureKubernetesEdge ComputingSovereign HostingDevSecOps

What we deliver

Cloud architecture, migration and cost optimisation across major public clouds
On-premise, sovereign and fully air-gapped deployments
Edge compute nodes for video, sensor and telemetry processing close to the source
Kubernetes platforms, infrastructure as code and GitOps delivery
Observability, backup, disaster recovery and uptime engineering
DevSecOps pipelines, secrets management and hardened baseline images

Typical toolchain

AWS · Azure · Kubernetes · K3s · Terraform · Ansible · Prometheus · Grafana

Aerial view of rugged terrain carved by dry river channels

GIS & Spatial Intelligence

Turning imagery and location data into decisions — at the scale of a site, a corridor or a country.

Earth ObservationPhotogrammetrySpatial MLWebGISLiDAR

What we deliver

Satellite and UAV imagery processing pipelines — optical, multispectral and SAR
Change detection, land-use classification and crop, forest and water analytics
Photogrammetry, digital elevation and terrain models, orthomosaic generation
LiDAR point-cloud processing, feature extraction and asset inventory
Location analytics — movement, density and network analysis for planning and operations
WebGIS portals, spatial databases and route, site and network planning tools

Typical toolchain

QGIS · GDAL · PostGIS · Google Earth Engine · Rasterio · Leaflet · MapLibre

Engineers inside a full-dome flight simulator

Simulation & Digital Twins

Test the thing you cannot afford to break. We build simulations that are validated against measured data, and digital twins that stay synchronised with the asset they represent.

Physics SimulationGNCHIL / SILDigital TwinsScenario Modelling

What we deliver

Physics-based simulators for flight, vehicle, structural and thermal behaviour
Guidance, navigation and control development and validation in simulation
Hardware- and software-in-the-loop test rigs
Digital twins of plants, networks and infrastructure driven by live telemetry
Scenario and what-if modelling for operations, logistics and training
Model calibration and validation against field and test data

Typical toolchain

MATLAB / Simulink · Python · C++ · Modelica · ANSYS · Unity · Unreal Engine

Engineers working together on a complex machine assembly

Systems Engineering & Integration

The disciplines are the parts; the system is the product. We own the architecture and the interfaces between them, and carry a programme from requirement to a verified, fielded system.

RequirementsArchitectureInterface ControlVerificationIntegration

What we deliver

Requirements capture, decomposition and end-to-end traceability
System architecture and interface control documentation
Integration of in-house, commercial off-the-shelf and legacy subsystems
Verification and validation planning, test campaigns and evidence packs
Environmental, EMC and security qualification support
Deployment, operator training, documentation hand-over and through-life support

Methods

SysML · Model-based systems engineering · ISO/IEC/IEEE 15288 · V-model delivery

Combined Programmes

The disciplines are the parts. The system is the product.

Most of our work draws on four or five capabilities at once. Three representative shapes of engagement:

Intelligent Edge Device

Sensor selection and PCB design, firmware and RTOS, an on-device vision model and a secure fleet-management backend in the cloud.

Hardware · IoT & Embedded · AI/ML · Cloud & Edge

Geospatial Monitoring Platform

Satellite and drone ingestion, change-detection models, a WebGIS operator console and a hardened, audited deployment.

GIS · AI/ML · Software · Cyber

Ruggedised Field System

Requirements and architecture, custom electronics and enclosure, secure boot and encrypted comms — proven in simulation, then validated against environmental test requirements.

Systems · Hardware · Simulation · Cyber

Streaks of blue light across a dark background

Next Step

Tell us what you need built.

Send the requirement — however rough. We will come back with a technical read, not a sales deck.

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