Over the years, we’ve streamlined and condensed our tech stack, in an effort to improve simplicity across the board.

 

Here are the key languages and technologies that make up our stack, and how we use them every day.

Python

Back-end technology

We use Python for the majority of our backend development work. Its minimal learning curve, ability to rapidly development and ease of integration with other languages and technologies makes it our go-to for building scalable and maintainable backend systems.

JavaScript, HTML, CSS

Front-end technology

We use a core suite of three complementary languages for our front-end development: JavaScript, HTML and CSS. When combined, these three technologies enable us to create highly interactive and visually appealing web apps. Being able to achieve responsiveness and seamless user experiences are the crucial benefits we draw from this stack.

In short, JavaScript provides functionality and interactivity, HTML gives us the structure and CSS enhances the overall presentation. What’s left is a cohesive and engaging web-based front-end software.

Flutter, Dart

Cross-platform client-side technology

Historically, when developing mobile apps, building out iOS and Android versions required separate processes and codebases. With Flutter, we write our code once, then deploy it on both main mobile operating systems simultaneously.

Additionally, Flutter allows for smooth, modern and visually striking UI design – we’ve created some of our most polished and native-like app experiences using Flutter, and its become an irreplaceable tool in our toolbelt.

AWS

Cloud-related services

The scalability and flexibility of AWS makes it our preferred provider for cloud infrastructure. Depending on the requirements of the project we’re working on, we can scale up or down to account for fluctuations in traffic. Its security features are also a plus, allowing us to provide peace of mind to clients that their data is secure.

Our Methodologies

 

Data-Driven Development

With close to two decades of experience, we rely heavily on data to drive our development decisions, leading to continuous refinement, ongoing improvement and better outcomes for our clients.
 

Microservices Architecture

With a microservices architecture, all of our services are separated into distinct, independent components, so that our developers can work on different services simultaneously – with fewer bottlenecks and greater productivity.
 

Artificial Intelligence

We’ve integrated artificial intelligence throughout our development cycle, automating routine tasks, optimising code and enhancing our decision-making processes – all leading to boosts in productivity of approximately 38%.