AI-Native Engineering
Initializing AI stack…
Full-stack MERN applications from MVP to enterprise — delivered with clean architecture, rigorous testing, and the velocity your business demands in competitive GCC markets.
Every engagement comes with these capabilities tailored to your requirements.
End-to-end MERN applications built from Figma to production — React 18 frontends, Node.js/Express APIs, and MongoDB databases architected for performance, accessibility, and scale from day one.
RESTful and GraphQL APIs designed contract-first in OpenAPI 3.0 — with JWT authentication, rate limiting, input validation, comprehensive error handling, and Swagger documentation auto-generated from code.
MongoDB schema design, indexing strategy, aggregation pipeline optimisation, and Atlas configuration for high-throughput enterprise workloads — delivering up to 90% query latency reduction over naive implementations.
Decompose monolithic applications into independently deployable Node.js microservices — with event-driven communication via RabbitMQ/SQS, API Gateway orchestration, service discovery, and distributed tracing.
Systematic performance auditing and optimisation of React frontends and Node.js backends — eliminating bottlenecks that cause slow load times, database query timeouts, and poor Core Web Vitals scores.
Deep domain expertise across regulated and high-growth sectors in the GCC and globally.
A proven engagement process with complete visibility at every stage.
Requirements workshop, user story mapping, system architecture diagram, database schema design, and API contract definition — all documented before a line of code is written.
High-fidelity Figma designs, interactive prototype for stakeholder validation, component library creation, and design system documentation.
Two-week sprints with daily standups, end-of-sprint demos, and continuous deployment to staging. You see real working software every two weeks.
Automated unit tests (Jest, Vitest), integration tests, Playwright E2E tests, load testing with k6, and manual QA for UX edge cases.
AWS infrastructure provisioning via Terraform, CI/CD pipeline setup (GitHub Actions), blue/green deployment, monitoring (CloudWatch, Sentry), and go-live runbook.
Performance monitoring, bug fixes, monthly dependency updates, and feature iteration based on user analytics and feedback.
Answers to the questions our clients ask most before engaging.
Real outcomes from real engagements.
IoT sensor data pipeline and ML-powered predictive maintenance system predicting equipment failures 48 hours in advance — reducing unplanned downtime by 35% for an energy infrastructure operator.
AI-powered citizen knowledge base with Arabic-English RAG pipeline serving 2M+ monthly queries for a GCC government ministry — deflecting 78% of call centre volume while maintaining 99.2% response accuracy.
Real-time shipment intelligence platform processing 500K daily tracking events with ML-powered exception prediction — cutting delivery exceptions by 40% for a regional logistics operator.
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