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Riyadh, Saudi Arabia

Generative AI Development in Riyadh.

Production generative AI for Riyadh enterprises: RAG systems, custom LLM applications, structured-output pipelines, and the eval frameworks that keep model upgrades from breaking the workload.

GCC delivery
From Doha · on-site Riyadh / Jeddah
Established (region)
2019
Engineers in region
20+
  • From Doha · on-site Riyadh / JeddahGCC delivery
  • 2019Established (region)
  • 20+Engineers in region
  • <2 hr ASTReply window

What we deliver in Riyadh, Saudi Arabia

Generative AI Development — on the ground.

  • RAG systems on enterprise corpora with hybrid retrieval and citations
  • Custom LLM applications: structured output, tool use, function calling
  • Fine-tuning, instruction tuning, and adapter strategies for domain models
  • Eval harness design: ground-truth datasets, drift monitoring, refusal quality
  • Prompt engineering, guardrails, and safety frameworks for regulated workloads
  • Production deployment with cost ceilings, audit logging, and rollback paths

Why local matters

The senior team is in the room.

  • 01

    GCC-region senior team

    Saudi engagements are delivered from the Doha regional office with on-site presence in Riyadh and Jeddah as the engagement requires. Same senior bench as Dallas, in-region, in AST business hours.

  • 02

    Vision 2030 + SDAIA-aware engagement

    Familiar with the Saudi Vision 2030 priorities, SDAIA's regulatory posture on AI, NCA cybersecurity controls, and the giga-project ecosystem (NEOM, Red Sea, Qiddiya). We know what Saudi-domiciled enterprises and PIF-backed entities expect from a delivery partner.

  • 03

    Saudi data-residency capable

    Experienced with Saudi-data-residency requirements via in-Kingdom Azure / AWS / Oracle regions. Cross-border data-flow compliance built into project architecture, not bolted on after the fact.

Riyadh, Saudi Arabia

Generative AI in production. From Riyadh.

Bring the problem. We'll bring a senior engineer plus the CORTEX department lead. 30 minutes, no obligation.