- 20+ years professional development
- Elgin-based, working UK-wide
- Fixed-price proposals
- 90-day managed launch care
- PageSpeed 80+ on every build
- UK company & ICO-registered
- Cloudflare-protected
- Stripe secure payments
What we connect
What we connect
- Connect sensors and devices so they send data to your system automatically
- Devices register and report in through your own cloud account — not ours, so you're never locked to us
- Two-way connection — send commands back to devices from your dashboard
- Real-time dashboards show what's happening and instant alerts when something needs attention
- Trigger automated responses — no manual intervention needed
Stop managing systems manually. See what's happening across your business in one place, get instant alerts when something needs attention, and automate responses. Device access is controlled and credentials are kept secure — only your systems talk to your devices.
Common use cases
You bring your devices. We handle receiving, storing, and visualising the data they send — no hardware selection needed on our side.
Define the thresholds and rules that matter. The moment your data crosses one, the right action fires automatically — no one has to be watching a dashboard for it to happen.
Commands sent to your devices are queued, tracked, and confirmed — so your backend knows a light actually switched, not just that it asked it to.
You have devices on Azure IoT, AWS, or other platforms. We connect them to your business systems so data flows automatically.
Sensor history stored efficiently and genuinely queryable — the patterns and reports come from real data, not a spreadsheet export.
When device X sends data Y, trigger action Z across multiple systems. We orchestrate the logic without needing device-specific knowledge.
Proven in the Lab
The techniques we apply to client IoT work are ones we’ve already battle-tested ourselves. Morag is our in-house R&D platform — a computer vision and home automation system running on local hardware, built around the same patterns: gRPC microservices, ML-calibrated Philips Hue lighting control, Home Assistant automation, and an ESP32-based smart-blind bridge, with more sensors planned.
It’s a working system, not a proof of concept — face detection, motion recognition, and automated responses are all running day-to-day in our home-lab environment. When we talk about IoT architecture, we’re drawing on experience of actually running it.
Read about Morag →Tell us what you're trying to connect.
Devices, sensors, or a control system — we’ll tell you honestly if it’s a fit.
Get in touch