Our Technology Stack & Modern Tooling Ecosystem

We choose battle-tested, high-productivity technologies that scale effortlessly without vendor lock-in.

• React (Frontend)

  React is our default for interactive web interfaces. The component model carries across web and mobile, and the hiring pool is deep enough that your product never hangs on one specialist staying.

• Node.js (Backend)

  Node.js lets one team own the whole stack in one language. Its event-driven runtime suits the I/O-heavy API and real-time workloads most of our clients actually run. It is a poor fit for CPU-bound number crunching, and we will say so.

• Python (Backend)

  Python is where our data and AI work lives. It is the shortest path from a notebook experiment to a running service, and nothing else comes close on modelling, ETL and automation libraries.

• React Native (Mobile)

  React Native gives you real iOS and Android apps from one codebase, dropping into native modules where you need to. In practice that is 30–40% less build and maintenance effort than running two native teams.

• AWS (Cloud)

  We are an AWS-first team. Landing zones, legacy migrations and production workloads, all in infrastructure as code, with IAM boundaries drawn tight and cost controls that still work once you have grown.

• Kubernetes (DevOps)

  Kubernetes is how we run portable, self-healing workloads at scale, with GitOps delivery, autoscaling and observability wired in. It is real operational overhead, though, so we only recommend it when the workload earns it.

• PostgreSQL (Data)

  PostgreSQL is our default database. Transactional integrity we trust with money and patient records, plus JSONB, full-text search and extensions that quietly remove the need for two or three other data stores.

• Next.js (Frontend)

  Next.js is what we build on when a site has to rank as well as it performs. Server rendering, incremental regeneration and edge caching in one framework, with React underneath.

• Flutter (Mobile)

  Flutter draws its own UI, so a heavily branded design looks identical on every device. That is the trade: you gain pixel control and lose the platform-native feel. Worth it when polish and animation matter most.

• TensorFlow (Data)

  TensorFlow covers the production end of machine learning for us. Training custom models, serving them at scale, and squeezing optimised versions onto mobile and edge devices.