Mobile-first, data driven products



Experienced with integrating into legacy backend systems like banking systems, retailer transactional systems, sensor databases, etc.


  • Data storage (Database)
  • Domain Logic & business rules
  • Data Analysis algorithms and Machine Learning models
  • Messaging and data flow at scale
  • Java, Node.js , python


Experienced at building APIs for both mobile and web frontends.


  • Mobile and Web
  • User Experience Design and Testing
  • Visual Design
  • Native iOS and Android
  • Hybrid with Ionic, Angular & Cordova
  • Web with Angular

Industry examples

We humanise technology, build the face of connected products.

Insights from data generated by connected devices and sensors through machine learning and useful visualisation of the data. Examples :

  • Optimising preventative maintenance through machine learning model on data from machine sensors
  • Prediction of worker and customer behaviour through machine learning on measured data
  • Prediction of health outcomes and risk factors using machine learning on health metrics from wearables and other health devices
  • Mobile interface between wearables sensors and the user
  • Interface to medical devices

Some examples of our work in this industry:

Insights from transactional and financial data. Machine learning for predicting consumer behaviour.


  • Prediction of sales, stock levels and staffing requirements from transactional data through machine learning
  • Visualisation of useful insights from financial and transactional data
  • Interaction channels for clients of financial institutions that are much more convenient, faster and simpler than traditional interaction channels

Improving existing business processes through the introduction of technology where it can simplify, speed up process and allow businesses to scale without having to increase human capacity to drive process.


  • An automated system for monitoring the movement of assets, reducing the time it takes to keep track of assets and their location.
  • An app based tasking system where employees are given the relevant tasks depending on their location and context. Gives workers the relevant information to make them more productive, and allows real time feedback of productivity and compliance.
  • Automated reporting from business intelligence data.
  • Operational dashboard showing business process health.
  • Raise productivity by determining the most efficient combination of staff with assets, using data analytics and machine learning.

Some examples of our work in this industry: