Intelligent Systems.
Built to Run.

EZ AI Lab builds and deploys AI systems for enterprise teams across the UAE and Saudi Arabia — Arabic-native chatbots, LLM integrations, RAG pipelines, process automation, and AI-powered workflows. Delivered end-to-end: scoping, build, testing, and deployment, inside a controlled and ISO 27001:2022-certified environment. The output is a working system, not a roadmap. Saudi-registered.

What AI Lab delivers

LANGUAGE · AI
AI chatbot development

Arabic and English, enterprise-grade, deployed.

INTEGRATION
LLM integration

GPT-4, Claude, Gemini, and open-source models.

RETRIEVAL
RAG pipelines

Retrieval-augmented generation for knowledge bases.

AUTOMATION
Process automation

Document flows, approval workflows, and operational automation at scale.

AGENTS
AI agents

Multi-step task automation on LLM frameworks.

ARABIC · NLP
Arabic NLP

Gulf Arabic, MSA, and mixed-language inputs.

INTEGRATION
AI integration

Connecting AI into existing software and data.

DATA
Data pipeline prep

Clean data infrastructure for AI deployment.

Brief your AI build at 10am.
Engineering starts by 10:30.

Quote in 10 minutes. An AI engineer assigned in 20. Technical scoping call or initial build plan in 30 — the same day. Proof of concept for straightforward chatbot or automation deployments: 1–2 weeks. Full deployments scoped upfront with a committed go-live date. The brief tells us what works; the build proves it.

In 10 minutes
You receive a build quote

Scope, model selection, data requirements, and timeline confirmed upfront.

In 20 minutes
Your AI engineer is assigned

A specialist matched to your stack — Arabic NLP, RAG, LLM integration, or automation.

In 30 minutes
Technical scoping begins

Architecture, data security, deployment environment, and first milestone locked.

YOUR DELIVERABLE

A working AI system. Deployed. Documented. Transferable.

Not a report. Not a prototype. A system in production — with ISO 27001:2022 data controls applied throughout.

Built for teams that need AI running, not planned.

In use. Anonymised.

Financial Services · Riyadh · Anonymised

A regional bank's operations team needed an Arabic-language document processing system to handle incoming Arabic correspondence and route to the correct department. Built on a RAG pipeline — deployed and handling 200+ daily documents within three weeks of brief.

Deployed in 3 weeks
We had a roadmap from a consulting firm. EZ gave us a running system. Completely different conversation.

Chief Digital Officer · Financial Services Company · Riyadh

AI that runs, not AI that advises.

Most AI engagements produce a roadmap or a pilot. EZ AI Lab produces a deployed system — within weeks, with ISO 27001:2022 data controls applied throughout.

Output
Arabic AI
Speed
Data security
Commitment
AI Lab
Built and deployed
Built and deployed system
Arabic-native NLP and LLM prompting
PoC in 1–2 weeks; scoped upfront
ISO 27001:2022, controlled deployment
Per-project, no minimum
Consulting firmAdvisory
Strategy and roadmap
Limited
Weeks to scope, months to build
Advisory-only
Project minimum
In-house engineeringInternal
Build (if resourced)
Varies
Sprint-dependent
Internal
Headcount

Questions we hear before the first brief.

Yes — Arabic NLP, Gulf dialect handling, and Arabic-first LLM prompting are core capabilities. Systems are built for Arabic-language inputs, not retrofitted from an English build.

GPT-4, Claude, Gemini, and leading open-source models (Llama, Mistral, Arabic-tuned variants). Model selection is driven by the deployment requirement — including data residency constraints.

Yes. AI Lab builds integrations into CRMs, ERPs, document management systems, and custom applications via API. No system replacement required.

Under ISO 27001:2022 certification throughout. For sensitive data, a private deployment option ensures data does not leave a controlled environment — no public API endpoints, no third-party model training on your data.

EZ AI Lab builds systems that automate processes — the system runs without growing headcount. A BPO adds headcount for each process unit. This is the build-operate-transfer model: EZ builds the AI system, operates it, and can transfer ownership to your team.

Brief your AI build in 2 minutes.

Quoted in 10. Engineer assigned in 20. Technical scoping starts in 30.

No commitment. No minimum. ISO 27001:2022 certified.