AI Security
Intelligent systems to detect threats, prevent breaches, and protect digital assets with an NCA-aligned architecture.
Code Brew Labs is an enterprise AI development company in Riyadh, Saudi Arabia. Our expert AI team delivers top-tier AI development services across the Kingdom, helping government entities, high-growth businesses, and enterprise groups unlock automation, insights, and measurable efficiency.
Trusted By Government Entities and Enterprise Groups Across the Middle East







Most AI work in the Kingdom stops at the pilot. We move an AI model into production, integrating it with live systems, and keeping it accurate twelve months later.
Intelligent systems to detect threats, prevent breaches, and protect digital assets with an NCA-aligned architecture.
Fine-tuned models, RAG pipelines, and copilots built on your own data, deployed in-Kingdom, model-agnostic by design.
Autonomous AI agents that complete multi-step work across your existing systems, with human approval gates.
Smart AI assistant and chatbot solutions to streamline support, lift engagement, and deliver tailored virtual experiences.
Arabic-native language models trained and evaluated on Gulf dialect. Right-to-left interfaces and built-in Hijri calendar handling.
Custom AI development services from streamlining workflows to automating decision journeys, for scalable systems built on your own data.
Our team builds AI-powered products that drive digital transformation into daily operations, not just a demo.
Advanced automation solutions combining Robotic Process Automation with AI to remove manual work from finance, HR, and operations.
Handle model deployment, monitoring, retraining, and governance. We build the pipeline that catches model drift before users.
The capability behind every system we build & deploy in the Kingdom.
Algorithms uncover hidden patterns in your data, fuelling smarter decisions.
AI systems understand and respond naturally in Arabic and English, improving interactions and efficiency.
AI interprets images and documents for automated inspection, identity verification, and paperwork elimination.
Predict trends, mitigate risk, and make proactive decisions with data-powered models.
Generate high-quality content, designs and code with fine-tuned models built on your own material.
Eliminate repetitive tasks, lift efficiency, and free your workforce for strategic work.
Transform raw operational data into insight your leadership can act on.
Coordinate multiple AI agents across systems and hand-offs, with human oversight where it matters.
Version, monitor, and audit every model in production, with documentation your compliance team can review.
Talk to our AI engineers — we'll map the right combination of models, pipelines, and infrastructure to your goals.
Banking and government are the Kingdom's fastest AI adopters. We build for both, and for the sectors moving behind them.
Most enterprise AI never leaves the pilot stage. Each AI product runs inside live operations today, and the numbers below are what changed after deployment.
Enterprise AI rarely fails on the model. It fails by starting without the data, or scaling without a gate.
We shortlist candidate use cases against business value, data availability, and regulatory exposure, then recommend which to build first.
An assessment of whether your data can support the outcome. If it cannot yet, we tell you what is missing before you commit budget.
A working model measured against success criteria agreed up front. This is a go/no-go gate, you decide with evidence rather than optimism.
Full engineering: integration with live systems, security review, deployment pipeline, monitoring and governance documentation.
Drift monitoring, scheduled retraining and performance reporting under SLA.
We build and deploy AI systems, transfer the knowledge, and put your team in control.
we'll build the AI that brings it to life.
Model weights, source code, pipelines, and infrastructure transfer to you. No per-seat licensing, vendor lock-in, or renegotiation.
We build the model and the application that carries it, on 13 years of production engineering.
Every engagement is scoped toward deployment from day one, with a go/no-go gate after the proof of concept.
PDPL-aligned data architecture, SDAIA AI ethics principles, and National Cybersecurity Authority controls are designed in from the first sprint.
When the data is clean and reachable, the build is straightforward. So we price each stage on its own, and you commit one step at a time.
SAR 90,000 – 300,000
USD 24,000 – 80,000
6–10 weeksSAR 300,000 – 750,000
USD 80,000 – 200,000
4–7 monthsSAR 750,000 – 2,250,000+
USD 200,000 – 600,000+
7–12 monthsAn AI system that cannot evidence where its data lives, how its decisions are governed, or how it handles Arabic is not deployable here.
PDPL-Aligned Data Architecture – Privacy-first data design under the Personal Data Protection Law, with lawful-basis mapping and subject-rights handling built into the pipeline.
SDAIA AI Ethics Alignment – Governance, explainability, and bias controls mapped to SDAIA's AI ethics principles, documented for review rather than asserted.
In-Kingdom Data Residency – Deployment on Saudi-hosted and sovereign cloud infrastructure, including open-weight models for fully on-premise operation.
Arabic-Native Language AI – Models trained and evaluated on Arabic, including Gulf dialect, with right-to-left interfaces and Hijri calendar support throughout.
Nafath Identity Integration – Identity-verified access for citizen-facing and government-facing AI services.
NCA Cybersecurity Controls – Architecture aligned to National Cybersecurity Authority Essential Cybersecurity Controls from the design stage.
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A feasibility assessment runs two to four weeks, a proof of concept four to eight weeks, and a production capability three to six months. You get a fixed stage timeline after discovery, not an estimate before it.
You own it. Model weights, training pipelines, source code and infrastructure transfer to you. No per-seat licensing and no lock-in — this is the clearest difference between us and platform vendors.
That is what stage two exists for. We audit data readiness before you commit to a build, and if the data cannot support the outcome yet we tell you what is missing rather than proceeding anyway.
We architect for the Personal Data Protection Law from the data-model stage, with lawful-basis mapping, subject-rights handling and documentation your compliance team can review.
We deploy on Saudi-hosted and sovereign cloud infrastructure where data localisation is required, including open-weight models for fully on-premise deployment.
Yes. We train and evaluate on Arabic, including Gulf dialect rather than translating English output, and we handle right-to-left layout and the Hijri calendar throughout the interface.
Yes. SAP, Oracle, Microsoft Dynamics, core banking platforms and government APIs. Integration depth is a primary cost driver, so we scope it explicitly in stage one.
With a free consultation. We scope the use case, flag the compliance implications and send a written estimate within 48 hours.
If you have any questions just book a 15-minute call with us.
Tell us what you are working on. Whether you are starting from scratch or improving something that already exists, we will give you a clear plan and a straight answer on what it takes.
Let's align our constellations! Reach out and let the magic of collaboration illuminate our skies.