Enterprises
Organisations whose systems have grown by accretion, and who need an integration and data layer that lets the parts work as one without a full replacement programme.
Everything visible in a product rests on something invisible. We build that layer: APIs, data platforms, realtime pipelines, integrations and the infrastructure around them — the services that keep answering at 3am, under load, on the day the campaign lands. Our platforms run at 99.9% uptime, and we treat that as a floor rather than a headline.
Backend work is where good intentions meet arithmetic. Query plans, connection limits, retry storms, clock skew, partial failures, migrations against live data — these decide whether a system scales or spends its life being restarted. We design for the failure modes first, instrument everything, and keep the operational picture legible enough that whoever is on call can act on it.
Every engagement is scoped to the project — contact us for a tailored quote.
§01 · The work
The infrastructure-grade half of a software product.
Versioned REST and GraphQL interfaces with authentication, rate limiting, pagination, idempotency and documentation — designed so the teams consuming them do not need to ask you how they work.
Schema design, migrations against live data, indexing and query tuning, plus ingestion and transformation pipelines that keep reporting honest as volume grows.
Live dashboards, tracking, messaging and collaborative state built on websockets and event streams, with reconnection, ordering and back-pressure handled properly.
Connecting ERP, CRM, identity, payment, logistics and government platforms, including the awkward ones with no modern interface, through controlled synchronisation and reconciliation.
Infrastructure as code, environment parity, continuous deployment, automated backups, disaster-recovery drills and cost that stays proportionate to what you actually serve.
Structured logging, metrics, tracing, alerting that fires on symptoms rather than noise, and runbooks that tell a human what to do at the moment they need to know.
queue depth
A seeded token-bucket simulation runs in your browser; the p99 is computed from its actual samples.
§02 · Method
Discovery to deploy, applied to systems nobody is supposed to notice.
01 · Discovery
We establish real traffic patterns, data volumes, latency requirements and integration constraints, then write down what happens when each dependency is slow or unavailable. That document shapes the architecture.
02 · Design
Data model, service boundaries and API contracts agreed and documented first, so front-end, mobile and third-party teams can build against them in parallel instead of waiting.
03 · Build
Automated tests on business logic and integration points, migrations rehearsed on production-shaped data, and load testing before launch rather than a lesson learned during it.
04 · Deploy
Infrastructure as code, continuous deployment with automated rollback, feature flags for risky changes, and monitoring and alerting proven before real traffic arrives.
Monitoring, maintenance, steady iteration — we stay. Capacity reviews as you grow, dependency and security patching, incident response and post-incident write-ups, and continuous work on the slow paths before they become outages.
§03 · The stack
Chosen for operability, not novelty.
We prefer technology with a long support horizon and a large hiring pool, because your team inherits it. Security is a practice, not a certificate: encryption in transit and at rest, least-privilege access and secret management, a secure development lifecycle, in-house penetration testing and continuous monitoring, with UAE data-residency options where information must remain in-country.
§04 · Built for
Who calls us when the backend is the problem.
Organisations whose systems have grown by accretion, and who need an integration and data layer that lets the parts work as one without a full replacement programme.
Secure data platforms and service APIs with auditability, role-based access and residency requirements shaping the architecture from the first diagram.
Teams whose product is outgrowing its original backend, where latency, cost per request or release risk has started to limit the roadmap.
Products that need to be built right the first time in the parts that are expensive to change later — the data model, the API surface, the deployment path.
§05 · Questions
What technical leads ask us first.
Services / Backends
Send us the architecture, the incident history, or the growth you are planning for. We will come back with what we would change and in what order.
Every engagement is scoped to the project — contact us for a tailored quote.
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