Our Technical Stack
We write production-quality code across a wide range of languages and environments — choosing the right tool for each job.
Python
Our go-to language for data science, machine learning, automation, and backend services. We build robust applications with FastAPI, Django, pandas, NumPy, and the full scientific stack.
C++ & Systems Programming
Performance-critical software where latency and throughput matter — high-frequency systems, numerical engines, embedded software, and custom algorithms in modern C++17/20.
JavaScript & TypeScript
Full-stack web development from REST APIs to interactive frontends. We deliver type-safe, maintainable codebases with Node.js, React, and modern tooling — from MVP to production scale.
Java & JVM Languages
Enterprise-grade backend services, microservices, and data processing pipelines. We leverage Spring Boot, Kafka, and the broader JVM ecosystem for scalable, battle-tested systems.
Databases & Data Engineering
Schema design, query optimisation, and data pipeline architecture across SQL and NoSQL. From transactional PostgreSQL to Spark analytical workloads and real-time streaming.
DevOps & Infrastructure
Cloud-native deployment, container orchestration, and CI/CD pipelines. We automate infrastructure and ensure your systems are observable, reliable, and easy to operate at scale.
Engineering Services
From greenfield development to rescuing legacy systems — we cover the full software engineering lifecycle.
Custom Software Development
Bespoke applications built to your specifications — whether it's a high-throughput data processor in C++, a REST API in Python, or a full-stack web product in TypeScript.
Architecture & Technical Design
System design, API contracts, database schemas, and service boundaries — getting the architecture right before a line of production code is written.
Performance Engineering
Profiling, benchmarking, and optimising bottlenecks in CPU-bound and I/O-bound systems — including low-latency C++ and Python native extensions.
Code Review & Refactoring
Systematic review of existing codebases to surface technical debt, improve testability, and establish coding standards your team can maintain long-term.
Technical Due Diligence
Objective assessment of software assets — for M&A, investment decisions, or before major platform migrations. We give you an honest picture of what you're working with.