Generative AI & LLM App Development · UAE & Middle East
Generative AI and LLM applications, built into your product
We build production LLM applications — copilots, assistants, content and document generation, summarisation and reasoning tools — on the model that fits each task. Wrexa is model-agnostic: we integrate and customise leading models rather than locking you into one provider.
remote-first — we work with teams across the UAE and the wider Middle East
- Your team wants a ChatGPT-style assistant, but on your own data and brand
- Generated content needs to follow your tone, format and compliance rules
- A prototype gives good answers sometimes, and wrong ones too often
- Model costs grow faster than usage
What we build
Generative AI: what you get
LLM applications & copilots
Assistants inside your web app, CRM or internal tools that draft, summarise, explain and act.
Content & document generation
Structured generation of reports, proposals, product copy and documents with templates and review steps.
Model selection & integration
OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral, Qwen and open-source models — compared on your tasks for quality, latency and cost.
Customisation & fine-tuning
Prompting, retrieval and, where the provider or weights allow it and it's worth it, fine-tuning.
Evaluation & guardrails
Test sets, automated scoring, safety filters and human review so quality is measured, not assumed.
Use cases
Where it pays off
- Education
- Question generation, tutoring assistants and automated feedback — the approach behind WrexaEdge.
- Legal
- Clause summaries, drafting help and plain-language explanations with citations.
- Retail
- Product descriptions, shopping assistants and review summarisation.
- Enterprise
- Internal copilots for policies, meeting notes and reporting.
How we build
From napkin sketch to production
01Discover
Business problem, AI feasibility, architecture.
02Data
Collection, cleaning, annotation, pipelines.
03Build
Models, agents, retrieval and the application.
04Evaluate
Accuracy, latency, cost and safety.
05Deploy
AWS, Azure, GCP, private cloud or edge.
06Operate
Monitoring, observability and optimisation.
Typical stack
FAQ
Generative AI questions
Which LLM should we use?
It depends on the task, data sensitivity and budget. We benchmark a few candidates on your real examples before committing, and design the app so the model can be swapped later.
Can the model run privately?
Yes. Options include enterprise API agreements, cloud-hosted models in your own account, or open-weight models deployed on your infrastructure.
Do you train models from scratch?
No — for almost every business use case that isn't necessary. We integrate, customise, fine-tune where appropriate, evaluate and optimise existing models.
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Serving clients across United Arab Emirates and Abu Dhabi and Sharjah and Saudi Arabia and Qatar and Oman and Bahrain and Kuwait and the United States and India.
your idea is the first frame —
Let's build your generative ai project.
Share the problem, your data and your timeline. We'll reply with a practical path from idea to production — wherever you are in the UAE or the wider Middle East.