Commercial LLMs
GPT, Claude and Gemini, built into real workflows
When speed matters more than hosting, we build on commercial models from OpenAI, Anthropic and Google. The pipeline is model-agnostic, so you can switch providers or move in-house later.
Discuss commercial LLMs for your teamWhat we build
Production features, not demos.
- 01Assistants and copilots inside your product
- 02Document extraction and summarisation
- 03Arabic and English content generation
- 04Structured output into your ERP or CRM
- 05Cost, latency and quality monitoring
- 06Guardrails, redaction and audit logs
Use cases
Asked often.
Use a commercial API when speed to launch matters more than where the model is hosted, and when your data may be processed by an outside provider. GPT, Claude and Gemini give you capable models with good Arabic output without buying any hardware. If documents cannot leave your network, a private cloud tenant or an open model on your own servers is the better fit. Because the AI layer is built independently of the model, you can start on an API and move later.
Yes, current commercial models read and write Modern Standard Arabic well and cope with mixed Arabic and English text, which is common in Gulf and Egyptian business documents. Quality still varies by task, dialect and specialist terminology, so we test the chosen model on your own documents and questions before rollout rather than relying on general impressions. For scanned Arabic files, an Arabic OCR step comes first so the model receives clean text.
Yes. The pipeline is built independently of the model, so prompts, retrieval, guardrails and integrations stay the same when you change provider. Moving from GPT to Claude or Gemini, to a private cloud tenant, or to an open model on your own servers means swapping the model connection and running the accuracy checks again on your own questions. This protects you from price changes, policy changes and lock-in to a single vendor.
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