How AI development actually works for Dubai businesses
Most Dubai AI engagements fall into one of three patterns. Pattern one: drop-in AI on an existing product (chat support automation, content generation, classification, search relevance) — typically 2-4 week feature add costing AED 11,000-22,000. Pattern two: build a standalone AI product (chatbot, RAG over your docs, AI agent for workflow automation) — typically 6-10 week MVP costing AED 30,000-55,000. Pattern three: fine-tune small specialised models or build a custom ML pipeline when prompt engineering hits a ceiling — typically 3-9 month engagement costing AED 55,000-185,000+.
Our defaults: OpenAI / Anthropic API for LLM, pgvector inside your existing PostgreSQL for retrieval (most Dubai use cases under 500k documents), Python (FastAPI) or Node.js for orchestration, Sentry for production observability. We reach for a dedicated vector DB (Pinecone / Weaviate / Qdrant) when corpus size crosses ~500k documents or retrieval latency under load is mission-critical. We fine-tune small models when prompt engineering plateaus on a narrow well-labeled task. We self-host open models (Llama, Mistral) when UAE data residency rules or cost-per-token economics demand it — relevant for some DIFC fintech and Department of Health Abu Dhabi engagements.
We are honest about boundaries. We will tell you when off-the-shelf API is enough rather than push fine-tuning. We will tell you when ChatGPT Plus solves your problem rather than build a custom RAG system. We will lose engagements being honest about scope; we keep our reputation. The strongest signal is repeat work — Growara has been on continuous AI feature work with us since launch.
