AI Engineering for Cloud-Native Web Platforms in Dubai

AI engineering is the discipline of designing, building, and maintaining AI-powered components as part of your digital products. In our context, it means embedding machine learning, data intelligence, and automation directly into your cloud-native web applications – for example, intelligent search, personalised recommendations, fraud detection, or forecasting – using robust engineering practices and modern cloud infrastructure.

Not always. Some AI use cases can start with limited but well-structured data, or even with high-quality external models (LLMs, pre-trained models) combined with your business rules. During discovery, we assess your data maturity and propose realistic use cases, a data roadmap, or a phased approach that matches your current situation.

Yes. Stralya is cloud-native and works with AWS, Azure, and GCP. We integrate with your existing data warehouses, data lakes, APIs, and authentication systems. If your current stack is fragmented or unstable, we can also propose a stabilisation or “rescue” phase before adding AI on top.

We work primarily on fixed-price, project-based engagements. After discovery and scoping, you receive a detailed proposal covering deliverables, timeline, and acceptance criteria. For specific needs, we can also provide senior AI engineers on a selective staff augmentation basis, always focused on high-value missions.

Yes. One of Stralya’s strengths is project rescue. We audit your existing code, models, and infrastructure, identify blocking issues, and propose a stabilisation plan. Once the foundation is solid, we can extend or re-architect the solution to meet your original business objectives.

Absolutely. We are used to working with high-stakes, compliance-sensitive projects. Our approach emphasises security, traceability, and rigorous documentation, which aligns well with governmental and semi-governmental requirements in the UAE and GCC.