Riyadh · Saudi Arabia · Vision 2030 enabler

AI-native software, engineered in the Kingdom.

Duloq designs and builds intelligent platforms, custom software and data foundations for Saudi enterprises and government — Arabic-first, cloud-native, and hosted inside the Kingdom.

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On-time delivery

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Engineers & data scientists

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Industries served
duloq · inference-gateway
$ duloq deploy --model arabic-llm --region ksa-central
→ provisioning secure enclave …
→ data residency: Riyadh (KSA)
→ compliance: PDPL · SDAIA
endpoint live · 42 ms p95
$
GPU
Tokens/s
Accuracy
Arabic NLPDialect-aware models
In-Kingdom hostingSovereign cloud ready
What we do

Services built for production, not demos.

From the first workshop to the day your system carries live traffic — one team, one accountability line.

AI & Machine Learning

LLM applications, retrieval over your own documents, forecasting, computer vision and decision models — evaluated, monitored and retrained.

  • RAG
  • MLOps
  • Evals

Custom Software Engineering

Web platforms, mobile apps and back-office systems designed around your operating model — with bilingual Arabic and English interfaces from day one.

  • Web
  • Mobile
  • APIs

Data & Cloud Platforms

Lakehouses, pipelines and governed semantic layers on Azure or AWS — so the analytics and the AI both read from one trusted source.

  • Lakehouse
  • ETL
  • Governance

Intelligent Automation

Agentic workflows that read documents, reconcile records and route approvals — with a human checkpoint wherever the risk demands one.

  • Agents
  • OCR
  • Workflow

Arabic Conversational AI

Assistants and voice agents that handle Modern Standard Arabic and Gulf dialects properly — grounded in your policies, not in guesses.

  • NLU
  • Voice
  • Dialects

Managed Services & Support

Round-the-clock operations, security patching and cost tuning under a clear SLA — with Arabic-speaking engineers in your timezone.

  • SLA
  • SecOps
  • FinOps
The Duloq method

Your data goes in. A governed, measurable system comes out.

We do not hand over a notebook and call it AI. Every engagement ships an evaluated model, an observable pipeline, and a runbook your own team can operate.

  • An evaluation harness before the first line of production code
  • Data residency and audit trails inside the Kingdom
  • Full source code and IP transferred to you
01Ingest
02Govern
03Model
04Evaluate
05Serve
Sectors

Where our work lands

01

Government & Public Sector

Digital services, case management and citizen-facing assistants.

02

Banking & Fintech

Risk scoring, AML screening and onboarding automation.

03

Energy & Industrials

Predictive maintenance, asset telemetry and HSE analytics.

04

Healthcare

Clinical documentation, triage support and capacity planning.

05

Retail & E-commerce

Demand forecasting, personalisation and Arabic search.

06

Logistics & Mobility

Route optimisation, fleet intelligence and document AI.

How we work

Four phases. No surprises.

  1. 1

    Discover

    Two weeks with your people. We leave with a scored backlog, a data readiness report and a fixed-price proposal.

  2. 2

    Prove

    A working slice against real data in four to six weeks, measured against the accuracy and latency targets we agreed.

  3. 3

    Build

    Two-week sprints, a demo you can click at the end of each, and code in your repository the whole way.

  4. 4

    Operate

    We run it, or we train your team to run it — and we write down how, in Arabic and English.

About Duloq

A Saudi engineering house with a bias for shipping.

Duloq was founded in Riyadh on a simple frustration: plenty of AI advice, very few systems in production. We are engineers first — architects, data scientists and designers who stay on a project until it carries real load.

Vision 2030 aligned PDPL compliant Arabic-first delivery In-Kingdom data residency

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Systems delivered

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Years average team experience

0/7

Operations coverage

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Code ownership transferred
Get started

Tell us what you are trying to build.

Send a short note and one of our engineers — not a salesperson — will reply within one business day.