One team for the whole connected stack. We build device firmware, cloud platforms, real-time dashboards and companion mobile apps, so your product ships as one system instead of four vendors pointing at each other.
Trusted by teams worldwide
From healthcare and manufacturing to logistics and property, enterprises are moving to connected operations. Six service lines cover every layer of that shift, from the firmware on the board to the dashboard your team runs the business from.
Connecting a device is the easy part. The return comes from what you do with the data once it arrives, so here is where IoT actually pays for itself.
Stop running the business on yesterday's spreadsheet. Live telemetry replaces manual reporting, so the number on the dashboard is the number in the field.
Vibration, temperature and duty-cycle data tell you a machine is drifting long before it stops. Service gets scheduled instead of scrambled.
The architecture that handles a ten-device pilot should handle the ten-thousandth device without a rewrite. We design for the fleet you expect, not the one you have.
Remote diagnostics mean fewer truck rolls and faster resolution. Connected products also open recurring revenue that hardware alone cannot.
We don't just move sensor readings to a database. Six engineering disciplines turn raw device data into decisions, backed by our wider AI development and cloud teams. Already have the device and only need the app around it? See our hardware app development service.
Models read sensor patterns and flag equipment failures before they happen, cutting downtime by up to 40%.
Quality inspection, object detection and safety monitoring that run on the device, with no cloud round-trip.
Live monitoring that spots abnormal device behaviour and pages the right operator instantly.
Remote provisioning, configuration, firmware rollout and health monitoring across the whole fleet.
TLS everywhere, X.509 device identity, secure boot and signed OTA updates, built in from day one.
Storage and querying built for high-frequency sensor data, so dashboards stay fast as volume grows.
The technologies we reach for when a connected product needs to do more than report a reading. Pick one to see where it earns its place in a build.
Machine learning turns raw device telemetry into decisions. Models run at the edge for sub-second response and in the cloud for fleet-wide pattern detection, driving predictive maintenance, anomaly detection and closed-loop automation.
Low-latency links for devices that move or sit far from Wi-Fi. We design around NB-IoT and LTE-M for battery-powered sensors, and 5G where bandwidth and latency budgets are tight, with graceful fallback when coverage drops.
Security designed in at the board, not bolted on after. Secure boot, per-device identity, mutual TLS, encrypted storage and signed over-the-air updates, so a compromised unit never becomes a compromised fleet.
A live virtual model of the physical asset, fed by its own telemetry. Simulate changes, forecast wear and rehearse failure modes before touching production hardware.
Sensor selection, calibration and edge pre-processing so only meaningful data leaves the device. Less bandwidth, longer battery life and lower cloud spend at fleet scale.
Kilometre-range links for sensors that must run years on one battery. The right fit for agriculture, utilities metering and distributed infrastructure where mains power and Wi-Fi are not options.
BLE pairing that a patient can complete unaided, reliable background sync and power budgets measured in days. Built to HIPAA expectations where clinical data is involved.
One call about your device, your environment and your data tells you which protocol fits, what the hardware really needs to do and a fixed budget. So your first dollar goes toward something that will actually work in the field.
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Six verticals where we've shipped connected products, plus agriculture, construction and smart cities work on request. See our healthcare and manufacturing practices for deeper detail, or enterprise software when the IoT platform has to reach the rest of the business.
Smart factory automation on the machines you already run.
HIPAA-ready connectivity for patients, devices and hospitals.
Lighting, climate, security and energy under one platform.
Know where every asset is and what condition it's in.
Metering and grid visibility across distributed sites.
Products people live with, so setup and battery life matter.
Field-scale sensing where power and coverage are the hard constraints.
Connected payment hardware and the compliance that comes with it.
Building intelligence that occupiers and owners both see the value of.
Delivered since 2018 across mobile, cloud and connected-device builds.
Daily RFID scan volume on the connected waste-collection fleet we built.
Tonnage captured every day from connected scales, with no manual entry.
Client operations running on Appther-built platforms worldwide.
Connected builds we can point at: weighbridges wired into an ERP, an RFID-and-GPS collection fleet, and AI routing over live vehicle telematics.
GPS units, RFID bin scanners and Bluetooth weigh scales feeding one offline-first driver app and live monitoring console.
Weighbridge controllers wired directly into Odoo over serial and TCP/IP, so every weighment posts against the farmer slip automatically.
GPS telematics from a 120-vehicle fleet feeding an AI routing engine, behind an offline-capable driver app.
Plenty of agencies can build an app. Fewer will put your actual device on the bench in week one and tell you what it can and cannot do. As a custom IoT development company we cover the whole connected stack in house, alongside our AI development and cloud infrastructure teams.
Firmware, cloud, dashboards and mobile under one roadmap, from device management through to the APIs your other systems consume. No three-vendor standoff when a packet goes missing between the device and the database.
Physical devices in the loop from the first sprint, across OS versions, RF interference, low battery and firmware variants. Never emulators alone.
As an AI-first company we put intelligence where the data is: anomaly detection on telemetry, on-device inference and edge computing that keeps working when the link drops. Where it earns its keep we build digital twins on the live stream, backed by our AI engineering practice.
Discovery ends with a written scope and a fixed quote. You own 100% of the firmware, cloud code and documentation, with an NDA signed up front.
Connected products collect data that carries real obligations. Here is how we handle each category, and only what we can honestly claim.
Sensor data is personal data more often than teams expect. We design the data model around minimisation first, so compliance is a property of the architecture rather than a later retrofit.
A fleet is only as secure as its weakest device. Identity, transport and update paths are treated as one system, not three separate features.
The controls below describe how we build and review code. They are engineering practices we apply on every project, not certifications we hold.
To be explicit: Appther is not a certification body. Formal ISO, SOC 2 or HIPAA attestation of your finished product sits with your compliance team and its auditor. We build and document so that audit is straightforward.
Regulated sectors change the architecture, not just the paperwork. We scope these constraints during discovery so they never surface late.
Companion apps get rejected for predictable reasons. We build against the store rules that trip up connected products specifically.
The IoT software development stack we build on, from sensor integration and firmware through to time-series data and performance work once the fleet is live.
From the radio on the board to the dashboard on the wall, grouped by the layer it belongs to.
MQTT
Bluetooth LE
ZigbeeMQTTBluetooth LEZigbee
ESP32
Arduino
Raspberry Pi
STM32
Nordic nRF
C / C++
Embedded LinuxESP32ArduinoRaspberry PiSTM32Nordic nRFC / C++Embedded Linux
AWS IoT Core
Azure IoT Hub
Google Cloud IoT
Node.js
Python
Docker
Kubernetes
Terraform
PostgreSQLAWS IoT CoreAzure IoT HubGoogle Cloud IoTNode.jsPythonDockerKubernetesTerraformPostgreSQL
Swift
Kotlin
React Native
Flutter
InfluxDB
TimescaleDB
Grafana
TensorFlow LiteSwiftKotlinReact NativeFlutterInfluxDBTimescaleDBGrafanaTensorFlow LiteThe building blocks that show up in most connected platforms we ship, from first provisioning through to fleet-wide analytics.
A connected product is ten layers that have to agree with each other. Get one wrong and the symptom usually shows up somewhere else, which is why we design them together rather than in sequence.
The endpoint itself: a microcontroller or single-board computer running your firmware. Chosen against power budget, unit cost and how long it has to survive in the field.
01Temperature, vibration, GPS, current, image. Selection and calibration decide the quality of everything downstream, because no cloud layer recovers a bad reading.
02Aggregates nearby devices and bridges them to the internet. Where devices speak BLE or Zigbee, the gateway is what translates them onto IP.
03Filtering and inference next to the hardware. Only meaningful events leave the site, which cuts bandwidth, extends battery life and keeps the system working when the link drops.
04Ingestion, device identity, provisioning and staged OTA rollout, on AWS IoT Core, Azure IoT Hub or Google Cloud.
05A time-series store sized for high-frequency telemetry, alongside a relational store for the business records that describe it.
06REST for records and WebSockets for live streams, versioned and authenticated, so your own systems and developers can build against the fleet.
07Pairing, provisioning and control in the user’s hand. Offline-first, because a connected product that needs a connection to set up will fail at the doorstep.
08Fleet health, alert thresholds and role-based access for the operations team who run the deployment day to day.
09Prediction, anomaly detection and computer vision applied to the live stream, trained on your own operating history rather than a generic benchmark.
10The endpoint itself: a microcontroller or single-board computer running your firmware. Chosen against power budget, unit cost and how long it has to survive in the field.
01Temperature, vibration, GPS, current, image. Selection and calibration decide the quality of everything downstream, because no cloud layer recovers a bad reading.
02Aggregates nearby devices and bridges them to the internet. Where devices speak BLE or Zigbee, the gateway is what translates them onto IP.
03Filtering and inference next to the hardware. Only meaningful events leave the site, which cuts bandwidth, extends battery life and keeps the system working when the link drops.
04Ingestion, device identity, provisioning and staged OTA rollout, on AWS IoT Core, Azure IoT Hub or Google Cloud.
05A time-series store sized for high-frequency telemetry, alongside a relational store for the business records that describe it.
06REST for records and WebSockets for live streams, versioned and authenticated, so your own systems and developers can build against the fleet.
07Pairing, provisioning and control in the user’s hand. Offline-first, because a connected product that needs a connection to set up will fail at the doorstep.
08Fleet health, alert thresholds and role-based access for the operations team who run the deployment day to day.
09Prediction, anomaly detection and computer vision applied to the live stream, trained on your own operating history rather than a generic benchmark.
10Protocols we build on
Which one fits is decided by range, power budget and data volume, not preference. See our hardware app development and AI development services for the layers either side of the device.
Thirteen stages take a connected product from first conversation to a fleet in the field. Hardware punishes guesswork, so the risky parts get proven early and you see a working build at the end of every sprint.
Use-case analysis, constraints and success criteria before any hardware or cloud decision is locked.
What the connected product has to be worth before it is worth building.
Choosing the board, sensors and radios against range, power budget and unit cost.
Embedded software written against the real board, not a simulator.
Picking the protocol against range, power and data volume, then proving it.
The platform that ingests, stores and secures everything the fleet sends.
The contract between devices, your apps and the systems you already run.
The companion app people actually pair the device with.
Where your operations team runs the fleet, not just looks at it.
Intelligence applied where it changes a decision, not because it is on a list.
Hardware in the loop, not emulators alone.
Production rollout, staged so a bad firmware build never reaches the whole fleet.
The years after launch, which is where most of a connected product’s life happens.
“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
Field notes from real builds. No hype, just what worked and what didn't.
A phase-by-phase breakdown of what a connected build actually costs.
How the companion app fits the wider system, and the stack we reach for.
Where IoT and mobile meet, and what changes when devices join the product.
A connected-sensor deployment in the field, and the numbers behind it.
Walk away from one call with the right protocol, a hardware direction, a realistic budget range and a delivery timeline. No pitch deck, no obligation.
Tell us what you want to sense, control or monitor. No sales pitch, just a straight answer on approach, scope, timeline and cost. Prefer email? Use our contact page.
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