Apps and software

App and software development

Companion apps that pair over BLE and Wi-Fi, dashboards fed by your devices, desktop and touch-panel software for machines, and the cloud pipeline that connects them. The same team writes both sides of every interface, so the app and the firmware agree from day one.

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Where AI fits

AI inside your software

Local assistants, vision pipelines and predictions built into the apps and dashboards your team already uses, so people see what to do next, not just numbers.

See AI integration

Assistants that run on site
Predictions on dashboards
Camera pipelines in desktop apps

What we do

Mobile, web, desktop and touch-screen software that talks to your hardware, plus the cloud behind it.

Mobile apps

Flutter and React Native apps for iOS and Android, with BLE pairing, Wi-Fi provisioning and firmware-update screens.

Flutter
React Native
BLE
OTA screens

Web apps and dashboards

React and Next.js portals with live monitoring, history, alerts and user roles, or Grafana and Node-RED where they fit.

React
Next.js
WebSocket
Grafana

Desktop and machine software

Qt and Electron applications for machine control, CAD-style editors, camera systems and test stations on Windows and Linux.

Qt 6 and QML
C++
Electron
WinUI

Touch panels and kiosks

Raspberry Pi and embedded Linux screens that boot straight into your app, with your branding, on-screen keyboards and remote updates.

Raspberry Pi
Embedded Linux
Kiosk mode

IoT cloud and data

Device provisioning, MQTT, time-series storage and documented APIs on AWS IoT Core, Azure IoT Hub or your own servers.

MQTT
InfluxDB
AWS IoT
Azure IoT

Vision and AI in your software

Camera pipelines, detection models and local AI assistants built into the tools your operators already use.

OpenCV
Local AI
Edge inference

Technology we use

The standards and tools behind every release.

Mobile: Flutter, React Native
Web: React, Next.js, TypeScript
Desktop: Qt 6 and QML, Electron, .NET and WinUI
Embedded Linux: Raspberry Pi OS, Yocto
Bluetooth: flutter_blue_plus, react-native-ble-plx, BlueZ
Messaging: MQTT v5, WebSocket, REST, GraphQL
Data: InfluxDB, TimescaleDB, PostgreSQL, SQLite
Cloud: AWS IoT Core, Azure IoT Hub, Firebase
Dashboards: Grafana, Node-RED, custom React
Sign-in: OAuth 2.0 and OIDC, JWT
Delivery: GitHub Actions, Fastlane, Codemagic
Testing: Jest, Flutter test, Playwright

Process

How a project runs

01
Discovery and UX
User journeys, wireframes and clickable prototypes, including the pairing and provisioning flows, before any code.
- User flows
- Clickable prototype
02
Interface design
High-fidelity screens and a reusable component library with handoff notes.
- Screen designs
- Component library
03
Architecture and setup
Project structure, state management, API layer and CI, with the hardware SDKs tested against real devices from day one.
- Project skeleton
- CI pipeline
04
Feature development
Sprint-based delivery of screens, business logic, device flows, notifications and offline mode, reviewed every sprint.
- Sprint builds
- Code reviews
05
Testing
Unit, integration and end-to-end tests, with Bluetooth and update flows checked on real phones and devices.
- Test suite
- Device test matrix
06
Release
App-store submission, signed desktop builds or a ready-to-flash Linux image, with crash reporting switched on.
- Store release
- Linux image
- Monitoring

What you receive

Everything is yours at handover, including the source and its history.

App builds
Signed iOS and Android builds, desktop installers or a Linux image.
Full source code
Clean architecture, documented modules and Git history.
Cloud setup
Infrastructure scripts, MQTT topics and provisioning templates.
API documentation
OpenAPI specs and BLE profile documentation.
Test suite
Unit and end-to-end tests with CI configuration.
Release pipeline
Automated build, test and store submission.
Monitoring
Crash reporting and analytics configured and live.
Maintenance guide
Setup, build and dependency-update instructions.

Tools

Tools we use

Mobile
Flutter and Dart
One codebase for iOS, Android, web and desktop.
Web
React, Next.js and TypeScript
Portals, dashboards and marketing sites like this one.
Desktop and HMI
Qt 6 and QML
Fast native interfaces for machines and instruments.
Industrial data
Node-RED, InfluxDB and Grafana
The standard on-premise stack for live machine data.
Cloud
AWS IoT Core
Provisioning, rules and OTA jobs for device fleets.
Backend services
Firebase
Sign-in, databases and notifications without running servers.

Work

Related work

All work

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A machine that scans a rough diamond in 3D and plans the most valuable stones inside it, using our own gravity-based optimization. We designed all of it: the mechanics, the 6-axis controller board and the software.

Read the case study

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