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LLM Integration (GPT, Claude, Llama) for High‑Stakes Web Platforms in Dubai

Stralya designs and deploys robust LLM integrations that go far beyond simple chat widgets. From GPT to Claude and Llama, we connect large language models to your cloud-native web stack with clear scope, fixed pricing and full ownership of results.
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What is included

End‑to‑end LLM integration package for your web platform

This service is designed for organisations that want to move beyond AI experiments and deploy stable, value-generating LLM features into their production web platforms. We cover the full journey, from strategy to launch and early optimisation.

Core components of our LLM integration

Strategic workshops to identify and prioritise high-impact LLM use cases aligned with your Dubai market objectives.
Technical architecture design for GPT, Claude and Llama integration within your existing AWS, Azure or GCP environment.
Implementation of secure API layers, orchestration services and front-end components for AI-powered features.
Design and optimisation of prompts, retrieval-augmented generation (RAG) pipelines and vector database integration.
Security, logging, monitoring and rate limiting to protect your platform and control AI usage and costs.
Multilingual support (English, Arabic and others) tailored to Dubai’s diverse user base and business environment.
End-to-end testing, performance tuning and production deployment with clear documentation.

Optional add‑ons for advanced AI programmes

Self-hosted or VPC-hosted Llama deployments for stricter data residency and compliance requirements.
Custom analytics dashboards for tracking AI usage, costs, satisfaction and impact on key business KPIs.
Ongoing SLA for prompt refinement, feature evolution and adaptation to new LLM releases.
Integration with your CRM, ERP or real estate management systems to connect AI insights with operational workflows.
Dedicated “project rescue” engagement to stabilise and upgrade an existing LLM pilot or failed integration.
Every LLM integration project is scoped specifically for your organisation, but the goal is always the same: a robust, secure and maintainable AI capability that lives at the heart of your digital product, not on the sidelines.

Designed for Dubai’s most demanding digital stakeholders

Startups and scale‑ups building AI‑native products
For ambitious founders and product teams who want to embed GPT, Claude or Llama deeply into their SaaS or marketplace, we provide a senior engineering partner that can turn vision into a stable, scalable product feature – fast, but without sacrificing quality.
SMEs and enterprises modernising their digital platforms
For established businesses in real estate, construction, services, hospitality and beyond, we integrate LLMs into existing portals and workflows to improve search, customer support, document handling and decision-making, while respecting your security and governance standards.
Governmental and semi‑governmental entities
For public sector organisations with critical digital mandates, we design LLM solutions that align with UAE strategies for AI adoption, ensuring transparency, control, auditability and long-term maintainability across multilingual, high-stakes citizen services.
Organisations with high‑stakes digital assets
Where your platform is too important to fail – from investor portals to internal knowledge systems – we bring the rigour, reliability and long-term commitment needed to make LLMs a safe, strategic advantage rather than a risky experiment.

How we work

A structured, cloud-native approach to LLM integration

Every AI project we deliver in Dubai follows a clear, rigorous process. We combine deep web engineering expertise with a strong focus on business value, ensuring your LLM features are not only impressive, but also maintainable, secure and measurable.

We work with your CTO, product owners or digital leads to identify high-value LLM use cases: from smart search for real estate listings to automated content generation, knowledge assistants or multilingual support. We clarify objectives, constraints, success metrics and user journeys before any line of code is written.
We design the technical architecture for your LLM integration: choice between GPT, Claude, Llama or a hybrid approach; API vs self-hosted models; prompt orchestration; vector databases; caching; and security layers. All decisions are aligned with your existing cloud stack (AWS, Azure, GCP) and compliance requirements.
We build the actual AI features in your web application: APIs, front-end components, prompt pipelines, retrieval-augmented generation (RAG), role-based access, logging and rate limiting. We implement guardrails to reduce hallucinations, control costs and protect sensitive data, following best practices for production-grade AI.
We test the integration under real-world conditions: functional tests, security checks, latency and throughput measurements, multilingual scenarios common in Dubai, and edge cases. We optimise prompts, caching strategies and infrastructure to ensure predictable performance and costs at scale.
We deploy to your production environment with dashboards, alerts and clear documentation. After launch, we can stay by your side with an SLA to monitor behaviour, refine prompts, add new use cases and adapt to new LLM releases or regulatory changes in the UAE and GCC.

Popular Questions

Find Commonly Asked Questions

We work with all major LLM families used in production today: OpenAI GPT (including GPT-4 class models), Anthropic Claude, Meta Llama and selected specialised models when relevant. We help you choose the right combination based on latency, cost, data residency, compliance and the nature of your use case. Hybrid architectures are common: for example, GPT for complex reasoning, Llama for on-premise or VPC-deployed workloads.
Data security is a core concern in Dubai, especially for real estate, finance, government and corporate portals. We design your LLM integration with strict data policies: minimal data exposure, anonymisation where possible, clear separation between user content and system prompts, and careful choice of regions and providers. When required, we can design architectures using self-hosted or VPC-hosted Llama-based models to keep data fully under your control.
Yes. Many of our LLM engagements are with existing platforms that need AI capabilities without a full rebuild. We analyse your current architecture, define safe integration points (APIs, microservices, front-end components) and design an LLM layer that respects your constraints. If your codebase is unstable or outdated, we can also propose a phased refactor or a “project rescue” plan.
We combine multiple strategies: retrieval-augmented generation (RAG) based on your verified data, strict prompt design, output validation, role and scope constraints, and where necessary, human-in-the-loop review. We also log interactions for continuous improvement and can implement explicit guardrails to block unsafe or non-compliant outputs aligned with your industry and UAE regulations.
Because we work on a fixed-price, project-based model, we first define a clear scope and then provide a transparent proposal. Smaller, focused features (for example, an AI assistant for a specific portal section) can be delivered quickly with controlled budgets. Larger initiatives (multi-feature AI across several products) are structured into phases. We do not compete on being the cheapest provider; we compete on delivering reliable, high-impact AI that actually works in production.
Yes. Stralya has a strong “project rescue” culture. If your current AI pilot is unstable, too expensive, or not delivering value, we can audit the existing work, stabilise what is salvageable, and redesign what is not. Our goal is always the same: get your AI features safely across the finish line and into stable, productive use.

Case Studies

Real solutions Real impact.

These aren’t just polished visuals they’re real projects solving real problems. Each case study 
apply strategy, design, and development.

View Work

Building a Monolithic Headless CMS with Next.js

A monolithic headless CMS, engineered with React and Next.js App Router to ship high-performance websites and product frontends fast, with clean content operations for non-technical teams.

6

weeks from first commit to production-ready CMS core.

3x

faster time-to-market for new marketing and product pages.

View Project Details
View Work

Mandarin Platform Project Takeover and Recovery

Taking over a third-party Mandarin e-learning platform to secure, stabilise and structure critical cloud-native components for long-term growth.

6

weeks to stabilise and secure the core platform after takeover.

0

critical incidents in production after Stralya’s recovery phase.

View Project Details

Client Testimonials

Projects delivered for ambitious teams

Professional, fast, and ultra-responsive. A company with a top-notch mindset.

Omar Ouhmad

CEO, Growth Hackerz

A company with a true entrepreneurial spirit: fast, professional, and above all, responsive.

Laurent Phillipe

CEO, MandarinMaster

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