Our development center builds sophisticated backend and web systems for clients who need a full product delivered, not a pile of tickets closed. We also license platforms we have already built in-house, so you can start from a working system instead of a blank repo.
End-to-end delivery of a working product — discovery, architecture, build, integration and handover. One accountable team, one delivery plan, one line of ownership from first commit to production cutover.
Event-driven and transactional backends built on Java and Python, with Kafka for streaming, Postgres as the system of record, and Docker-based deployment. Designed for throughput, traceability and long service life.
Production React front-ends for operator consoles, back-office tools and customer-facing surfaces. Typed end-to-end, tested, and shipped with the same evidence discipline as the backend behind them.
Where we have already built a platform in-house, we license it. You get a working system on day one, and an engineering team that knows every corner of it for the extensions and integrations you need.
Automation of workflows that sit between systems — data extraction, orchestration, batch processing, and integrations against APIs and portals that were never designed to be integrated with.
Practical machine-learning and LLM work: retrieval pipelines, evaluation harnesses, prompt and model versioning, guardrails, and the operational scaffolding needed to run a model in production and know when it drifts.
We do not build firmware or embedded software.
We bias toward technology with a long track record and a large operator community — and reach for the modern option only where it earns its place.
A short paid discovery to lock scope, non-functionals and success criteria before a delivery plan is signed.
A named pod — tech lead, engineers, QA — assembled from the HK, PH and EU bench for the workload profile.
Two-week cycles with running software from the first iteration. Written change log, demo, and a decision trail per cycle.
Production cutover with a documented rollback path, followed by knowledge transfer or a managed-services handover to our back-office team.