Industrial IoT & Edge Computing
Sensors to insight, with the inference running where the machine is
- MQTT Sparkplug
- OPC UA
- LoRaWAN
- Edge inference
- OTA updates
- Digital twin
Industry
Field sensing, yield forecasting, cold chain, and traceability from farm to buyer.

Agriculture is a distributed control problem with poor connectivity and a very short window to act. We build field sensing and irrigation control that works offline, yield and quality forecasting from satellite and ground data, cold-chain monitoring through the supply chain, and traceability that a buyer or a regulator can verify rather than take on trust.
Sensors to insight, with the inference running where the machine is
Forecasts, anomalies, and optimisers that end in a decision
Defect detection, site monitoring, and document capture at line rate
iOS, Android, and field apps that keep working without a signal
Lakehouse storage with schema evolution that does not break readers
Systems built for one business, and built to be maintained
How we help
The systems this industry draws on, layer by layer.
Systems that turn history into a decision rather than a dashboard.
What we buildNative and cross-platform mobile applications, including field applications for people who work where connectivity does not reach.
What we buildEnd-to-end delivery of bespoke business systems: discovery and domain modelling, architecture, implementation, test automation, deployment, and support.
What we buildTell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.