Device connectivity, IoT cloud platforms, real-time dashboards and companion apps for connected products.
Stack we work in
Power BIFigures as of Oct 2026
Trusted by
We build the software side of connected products: the link from device to cloud, the IoT platform, the data pipeline, the dashboards and the mobile apps people use to control and monitor devices.
We work with the devices, gateways and SDKs you already have or have chosen, over protocols such as MQTT, OPC UA, BLE and LoRaWAN, and run the cloud side on AWS IoT Core or Azure IoT Hub. Sensor data lands in a time-series store where it can drive alerts, reports and machine learning models.
Machines and sensors collect readings, but nobody can see them without visiting the site or downloading files by hand.
A proof of concept works for ten devices, but provisioning, security and costs break down at hundreds or thousands.
Faults are discovered after equipment stops, because there are no alerts on the readings that matter.
Changing firmware or settings means sending someone to each device, so fixes are slow and expensive.
Sensor data is spread across vendor portals and spreadsheets, in different formats, so it cannot feed reports or models.
Outcomes
Collect machine and sensor data from the shop floor, show it on live dashboards and alert on faults or downtime.
Learn moreTrack location, condition and usage of vehicles, containers or equipment, with history and geofence alerts.
Learn moreApps and cloud backends that assign lockers, open them remotely, notify users and report usage.
Companion apps for pairing, controlling and updating devices, with a cloud backend for accounts and data.
Measure energy use, temperature, humidity or air quality across sites and report against targets.
Use equipment history and live readings to flag machines likely to need service before they fail.
A written design covering devices, protocols, IoT platform, data flow, security and costs, with the reasons for each choice.
Device provisioning, messaging, rules, storage and OTA delivery set up in your cloud account, defined in code.
Streaming ingestion into a time-series store, with retention rules and access for analysts.
Live dashboards and alert rules for the readings and events your team cares about.
Companion apps and admin portals, published to the app stores or deployed to your hosting.
Guides for onboarding devices, releasing updates and handling incidents, plus source code in your repositories.
Get data off devices reliably and securely.
Built with
Register, secure and manage a fleet of devices.
Built with
Turn sensor readings into something people can act on.
Built with
Power BIGive users control of their devices.
Built with
Find patterns and predict problems before they happen.
Since 2018 we have delivered 680+ projects for 310+ clients, and 98% of clients keep working with us.
We build the cloud platform, data pipelines, dashboards and the mobile and web apps for your connected product.
We prove connectivity, offline behaviour and data flow on your real hardware before the full build.
Our data engineers and data scientists turn sensor data into reports, alerts and predictions.
Each device gets its own identity and encrypted connection, and we offer support with agreed SLAs after rollout.
Featured case study
Every business already owns the sensor network it needs. CCTV records everything and tells you nothing — until someone reviews the footage, usually days after the loss.
Read the case study
Building an AI-Powered Wardrobe & Style Intelligence App
Building a Secure Employee Health & Performance Management Platform
Vegpal: Connect, Share, and Thrive in a Global Vegan Community
Vegpal – Dating and Friendship App for Vegans
FitPlus: Custom Fitness App Development Case Study
Book Professional Photographers Anytime, Anywhere with POD IndiaWe review your devices, gateways, connectivity, data volumes and the people who will use the system, and agree what success looks like.
You receive Requirements and device inventory
We choose protocols, the IoT platform, storage and app stack, and plan security from device identity through to user access.
You receive Solution architecture and plan
A small set of real devices sends data end to end into a basic dashboard, so we test connectivity and data quality early.
You receive Working end-to-end pilot
We build the cloud platform, data pipeline, dashboards, alerts and apps in short iterations, with demos at each step.
You receive Platform, dashboards and apps
Devices are onboarded in batches, with monitoring in place, while we load-test the platform for the full fleet size.
You receive Production rollout and runbooks
We monitor the platform, ship OTA and app updates, and add analytics or models as data builds up.
You receive Support plan and roadmap
Tech stack
AI and machine learning
Pipelines and orchestration
Databases
BI and analytics
Power BIMobile
Frontend
Backend and APIs
Languages
Cloud and DevOps
Other tools
Engagement
A fixed-scope pilot that connects a few real devices end to end, so you can test the idea before a full build.
Platform, data, dashboards and apps built against an agreed scope and plan.
Developers who work on your connected product full time or part time, inside your process and tools.
It depends on scope: the number and type of devices, the protocols involved, whether you need mobile apps, dashboards or analytics, data volumes, and security and compliance needs. After a short discovery call we send a written estimate with the scope, timeline and team. Cloud and connectivity charges are billed to your own accounts. As a guide, a connected-device pilot usually costs $15,000 to $40,000, and a production IoT platform with apps $40,000 to $150,000 or more (USD).
We do not manufacture devices. We build the software around them: cloud platform, data pipeline, dashboards, mobile and web apps, and analytics. We integrate with your devices through their protocols, SDKs and APIs, and work alongside your hardware or firmware team or vendor.
Both handle device identity, messaging and fleet management well. We usually recommend the one that fits your existing cloud, team skills and data location needs. If you already run on one cloud, staying there is often simplest. We can explain the trade-offs for your case.
Each device gets its own identity and certificate, messages are encrypted in transit, and access rules limit what each device and user can do. Data is encrypted at rest, and we log access and changes. We design storage and access to support GDPR and the data protection rules that apply in your country.
We design for it. Devices or gateways buffer readings locally and send them when the connection returns, and the platform tracks last-seen times so offline devices raise an alert. Edge processing can keep local rules running without the cloud.
Yes. We build companion apps in Flutter, React Native, Swift or Kotlin, covering device pairing over BLE or Wi-Fi, live status, remote control, notifications and account management.
Yes. Once data is stored in a consistent form we can build usage and uptime reports, anomaly detection and predictive maintenance models, and run them in the cloud or at the edge.
Yes. We often extend an existing IoT setup, for example adding dashboards, an app or a data pipeline, rather than replacing it. We start by reviewing what is already in place.
A proof on real devices usually takes a few weeks. A full platform with dashboards and apps takes a few months, depending on device count, protocols and integrations.
We start with a short discovery call under NDA if you need one. Send us your idea, any designs or documents, and the systems the work must connect to. We then share a written scope, timeline and estimate before any build work starts.
Yes. We monitor the platform, fix issues, update dependencies and add features under an agreed support plan.
You do. The cloud accounts, code and device data belong to you, and we hand over documentation.
Book a call with our team. We will review your devices and goals and outline the architecture, steps and next actions.
