We design the inputs that drive the outputs — and choose the models worth paying for.
Whether you are deploying a general LLM, fine-tuning a domain system or architecting an enterprise AI stack, the quality of what comes out is set by the quality of what goes in. We turn ambiguity into precision and cost into value.
Arabic is handled as a first-class language here rather than as a translation step at the end — tokenisation, retrieval evaluation and dialect coverage are design decisions, not afterthoughts.
What you get
- System prompt architecture and prompt libraries
- Model selection and cost/quality benchmarking
- Retrieval and context strategy
- AI auditing — accuracy, bias and failure-mode review
- Arabic NLP design: tokenisation, dialect and evaluation
- Typical duration
- 3–6 weeks
- Best for
- Teams already using AI, badly
- Output
- Documented, testable system
- Languages
- Arabic and English
LLM DesignModel SelectionArabic NLP