Profiles

The deep disciplines behind our service streams and the technology partners we build on — specialisation profiles and partner profiles, each a dedicated microsite.

Deep disciplines

Specialisation Profiles

14 specialisations

Concept · Product · Lifecycle
Physical AI Systems
Perception, control and on-device models for machines that sense, decide and act.
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Concept · Product · Lifecycle
Advanced PCB Design
High-density, high-speed and RF layouts that pass compliance first time and yield on the line.
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Concept · Product · App & Cloud · Lifecycle
Embedded Firmware
Production-grade embedded software: RTOS architectures, connectivity stacks and signed OTA.
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Concept · Product · App & Cloud
DSP Engineering
Signal pipelines on FPGA and microcontrollers for radar, audio, biosignals and RF.
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App & Cloud
App Engineering
Mobile and desktop apps engineered around hardware — pairing UX, offline-first data, store lifecycle.
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App & Cloud
Cloud Engineering
Fleet telemetry, OTA orchestration and analytics on AWS and Google Cloud.
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Concept · Product
Systems Engineering
Requirements, architecture and verification discipline that keeps complex products coherent.
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Concept · Product
Industrial Design
Form, ergonomics and manufacturability resolved together — designs that survive tooling.
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Concept
Commercialisation
Funding strategy, grants and investor-ready engineering evidence beside the technical track.
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Manufacture · Product
Test & Verification Systems
Custom jigs, automated functional test and inspection that certify every unit shipped.
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Manufacture
NPI & Supply Chain
New-product introduction, supplier audits and component lifecycle management at scale.
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Manufacture
Manufacture Tooling
Jigs, fixtures and production aids designed by the people who use them.
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Manufacture · Lifecycle
Production Management
Planning, traceability and continuous improvement from purchase order to dispatch.
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Lifecycle · App & Cloud
ML/AI DevOps
Model lifecycle operations for fleets in the field — retraining, gates, staged rollout, drift.
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Technology partners

Partner Profiles

The platforms, silicon and cloud services we build on — and how we use each one.

Cloud platform
Amazon Web Services
Our default cloud for connected-product fleets: IoT Core device identity, telemetry ingestion, OTA orchestration and serverless product APIs.
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Industrial & secure silicon
NXP
i.MX applications processors, NFC and secure elements for industrial HMIs, payment-adjacent products and devices that need hardware roots of trust.
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Embedded compute
Raspberry Pi
Compute Module 4 and 5 give industrial products a supported, long-lifecycle Linux compute core.
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Cloud platform
Google Cloud
Data and ML infrastructure for products whose value lives in their data.
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Wireless silicon
Espressif
ESP32-series Wi-Fi and BLE SoCs for cost-sensitive connected products.
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General-purpose silicon
STMicroelectronics
STM32 microcontrollers, MEMS sensors and motor drivers appear across our medical, industrial and consumer boards.
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General-purpose silicon
Microchip
PIC, AVR and SAM microcontrollers plus analogue, timing and security parts.
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Wireless silicon
Nordic Semiconductor
nRF52/nRF53 BLE and nRF91 cellular silicon sits at the heart of many of our lowest-power connected products, with firmware built on nRF Connect SDK and Zephyr.
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Analogue & embedded silicon
Texas Instruments
Analogue signal chains, power management and embedded processors.
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Cloud platform
Microsoft Azure
For products landing inside enterprise IT estates: Azure IoT Hub device fleets, Entra ID integration and analytics that sit beside the customer’s existing Microsoft stack.
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Cellular & GNSS modules
Quectel
Cellular, GNSS and Wi-Fi/BLE modules for products that need certified connectivity fast.
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Edge AI & accelerated compute
NVIDIA
Jetson edge-AI modules and CUDA tooling power the perception and inference layers of our Physical AI programs.
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Positioning & cellular modules
u-blox
GNSS and cellular modules for products that need to know where they are and phone home from anywhere.
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Partner logos and trademarks are the property of their respective owners and are used to indicate genuine technology partnerships only. Brand & trademark notice →

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