Hardware, edge and cloud. One system.
Connected products engineered as a whole — the device, the firmware, the telemetry, the app and the dashboard — by one team accountable for all of it.
IoT projects fail in the seams. So we removed the seams.
The classic IoT failure: a hardware vendor, a firmware contractor, an app agency and a cloud consultant — four contracts, zero accountability, and a product that demos well until the fleet hits a thousand devices and the seams split.
We deliver the stack as one engineered system. Device protocols, edge logic, sync, cloud platform, mobile app and fleet dashboard — one architecture, one team, one throat to choke. Our connected fridges have run unmanned retail around the clock for years; that is what seamless actually means.
From sensor to decision.
Every layer of a connected product — engineered together, owned by you.
IoT platform development
Cloud backends that ingest, store and act on device data — built for fleets, not demos.
Device & edge software
Firmware integration, gateway logic and edge processing where latency or connectivity demand it.
Companion & operator apps
The mobile and kiosk experiences through which customers and staff actually touch your hardware.
Telemetry & data management
Time-series pipelines, anomaly alerts and analytics that turn device chatter into operational truth.
Fleet monitoring
Provisioning, OTA updates, health dashboards and alerting for every unit in the field.
Consulting & strategy
Build-vs-buy on hardware, connectivity and protocols — before you commit to the expensive parts.
Prove it on one device, then a thousand.
Connected products scale in hops — bench, pilot, fleet — and each hop has different failure modes.
01Bench prototype
One device, end-to-end: sensor to cloud to app. The full loop working in weeks, assumptions tested with hardware in hand.
02Pilot fleet
Tens of devices in the field expose the real world: flaky networks, power cuts, human behaviour. We instrument everything.
03Harden for scale
Provisioning, OTA updates, security and observability built before the fleet grows — not bolted on after the first outage.
04Operate the fleet
Dashboards, alerting and lifetime support. You watch the business; the system watches the devices.
We have shipped this before.
Connected fridges running unmanned retail 24/7 — hardware, app and platform engineered as one system.
FeelEat — Happy Fridge
Smart fridges with scan-to-unlock, in-app payment and live inventory telemetry — sustainable meals sold around the clock with no staff on site.
Chosen for the problem, not the résumé.
Open protocols and proven infrastructure — no proprietary platform lock-in between you and your devices.
One team. Zero hand-offs.
Disciplines most often combined with IoT — same architecture, same engineers, no integration tax.
Questions, answered.
The things buyers of IoT ask us most. Anything else — put it in a brief, a senior engineer replies within a business day.
Put it in a brief. A senior engineer — not a sales rep — replies within one business day.
Q.01Do you build the hardware too?
We engineer the software stack and integrate with your hardware — and we partner closely with hardware manufacturers on protocols, specs and selection. The discovery phase tells you exactly where the hardware/software boundary should sit.
Q.02What happens when devices go offline?
They keep working. Edge logic and local storage are designed in from the start, with sync on reconnect and conflict resolution. Offline is a designed state with defined behaviour — never an error.
Q.03How do you handle device security?
Per-device identity, encrypted transport, signed OTA updates and least-privilege cloud permissions. A compromised device should be a contained incident, not a fleet-wide breach — and we architect for exactly that.
Q.04Can you rescue a stalled IoT project?
Often, yes. We audit the stack end to end — firmware to cloud — and give you an honest read on what stands and what must change. The usual diagnosis is seams between vendors; the usual cure is one accountable team.
Q.05Which connectivity should we use?
Depends on environment. Wi-Fi for indoor consumer, BLE for short-range battery, cellular (LTE-M / NB-IoT) for wide-area, LoRaWAN for ultra-low-power rural. We make this decision in week one of discovery based on your unit economics.
Q.06How do you handle OTA updates safely?
Staged rollout (5% → 25% → 100%), automatic rollback on failure metrics, dual-bank firmware so a failed update never bricks a device, and signed images so unauthorised firmware can't load.
Q.07Will this scale to a million devices?
The architectures we deploy on AWS IoT Core and Azure IoT Hub routinely handle millions of devices. The constraint is rarely scale — it's operational discipline around fleet ops, OTA, and observability.
Q.08Can you add predictive maintenance or anomaly detection on the telemetry?
Yes — once the fleet is streaming clean, labelled telemetry, this is where IoT pays off. We start with simple threshold and statistical baselines (which catch most issues), then layer ML models for pattern-based prediction where the data supports it. We won't sell you an ML model before you have months of reliable historical data to train it on.
Putting software inside
something physical?
Fridges, kiosks, sensors, machines — tell us what the device must do. A senior engineer replies within one business day with an architecture read.