From sensor to cloud, end-to-end.
Complete IoT ecosystems: embedded firmware on real microcontrollers, robust gateways, high-scale telemetry pipelines, real-time dashboards. We design projects for production, not just for demos.
All our projects are covered by £10 million of professional indemnity insurance (verify here)
+ an additional £1 million dedicated to data security (verify here).
Code that lives close to the metal.
We build firmware on STM32, ESP32, nRF52/53, RP2040 and embedded Linux boards (Raspberry Pi, BeagleBone, NXP). Bare-metal, RTOS (Zephyr, FreeRTOS) or embedded Linux as the case requires. Efficient code: few KB of RAM, batteries lasting years.
Robust OTA firmware update from day one: A/B partitions, automatic rollback, signature verification, delta updates. To avoid manual on-site intervention on every device.
The right protocol for each case.
Wi-Fi, BLE, LoRaWAN, NB-IoT, LTE-M, 5G, Zigbee, Z-Wave, Modbus, CAN, OPC-UA. There's no universal solution: there's the one best suited to your case. Indoor vs outdoor, battery vs powered, throughput vs range, per-device cost vs network cost.
MQTT on the cloud, gateways with store-and-forward when connection drops, smart retries, server-side deduplication. Architectures designed for real networks, with disconnections and lost packets.
Intelligence at the edge.
Sending every sample to the cloud is expensive, slow and energy-hungry. With edge computing we process data locally: filters, aggregations, anomaly detection, ML classification. Only relevant events reach the cloud.
TinyML on microcontrollers (TensorFlow Lite Micro, edge-impulse) for audio, vibration, image recognition on devices costing pennies. KB-sized models running in milliseconds.
Seeing the fleet, not just single numbers.
Thousand devices transmitting every second = billions of data points per day. You need time-series databases (InfluxDB, TimescaleDB, AWS Timestream), smart aggregations, retention policies. Dashboards that tell a story, avoiding walls of numbers without context.
Real-time monitoring with WebSocket for live metrics, threshold and anomaly alerting, fleet-to-single-device drill-down in two clicks. Grafana, custom React dashboards, integration with your existing BI tools.
Security across the device lifecycle.
An IoT device lives 5-10 years. Security must last as long. Hardware root of trust (TPM, Secure Element), secure provisioning at production, attestation to prove firmware integrity, mutual TLS authentication.
OTA firmware update with signature verification, automatic rollback if new firmware fails to boot, A/B partitions. CVE response in days, not months. Compliance with PSA Certified, IEC 62443, ETSI EN 303 645 where required.
IoT pays off when devices stay operational over time.
A poorly designed IoT device risks ending up as e-waste or, worse, in a botnet. We aim to build devices that stay operational long-term: upgradeable firmware, security across the full lifecycle, fleet monitoring, automated fleet management.
We think about the device manager from factory to recycling: provisioning, gradual deploys, audits, retirement. To avoid PoCs that shine in demos but turn out fragile in production.
What we get asked the most.
Transparency first. If your question isn't here, write to us: we reply within 24h, from a real person.
Which connectivity protocol to choose?
How much does an IoT solution cost?
Should I develop custom firmware or use ready-made boards?
How are devices updated in the field?
Is my IoT data secure?
Can I integrate IoT with my business systems?
Got an idea that starts with a sensor?
A 30-minute call to figure out where it makes sense to start — hardware, firmware, cloud, dashboard. We can cover the whole stack or just the pieces you're missing.