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Skyline Advanced Technology designs, builds, and operates production AI systems for companies in Abu Dhabi and across the UAE. We are not a research lab and not a reseller — we are the engineering team that takes an AI use case from scoping to a deployed, PDPL-compliant system your staff actually use. Our AI practice covers digital onboarding and identity verification, computer vision, Arabic-capable generative AI, intelligent automation, and AI-powered analytics.
Because we also deliver custom software, ELV and security systems, and smart building automation, we can deliver AI as part of a wider technology project under one contract — one team, one project plan, one point of accountability.
| Engagement | Typical range | Timeline |
|---|---|---|
| SaaS-API chatbot / assistant (SME) | AED 60,000 – 150,000 | 4–8 weeks |
| Document AI / OCR pipeline | AED 80,000 – 250,000 | 6–12 weeks |
| Computer-vision deployment | AED 120,000 – 400,000 | 8–16 weeks |
| Digital onboarding / eKYC flow | AED 150,000 – 500,000 | 10–20 weeks |
| Custom fine-tuned model + platform | AED 350,000 – 1,500,000+ | 16–40 weeks |
Note: all pricing ranges on this page are indicative assumptions. Depending on the exact features, site conditions, and scope, the final price may differ from what is mentioned. Use our free project estimator for a figure tailored to your project.
For the full breakdown across seven AI categories, read our AI Cost Guide UAE 2026 or run the AI cost calculator.
We are model-agnostic and pick the stack per project: Anthropic Claude, OpenAI GPT, Google Gemini for hosted LLMs; Falcon and open-weight models where sovereignty or Arabic specialisation matters; Azure UAE Central and AWS for UAE-resident hosting; Python, PyTorch, FastAPI, PostgreSQL with pgvector on the engineering side. Where regulations require it, we deploy on-premise or in sovereign UAE facilities.
Every AI deployment we ship is designed for UAE PDPL from day one: consent capture, data minimisation, right-to-delete, and breach-notification procedures. For regulated sectors we engineer to CBUAE (banking), ADHICS (healthcare), and NESA/SIA (government) requirements — including audit logging, penetration testing, and data-residency controls.
Financial services & fintech: digital onboarding with Emirates ID verification, transaction-monitoring assistants, and document AI for KYC files — built to CBUAE expectations. Real estate & facilities: AI-assisted CCTV analytics, predictive maintenance on building systems, and tenant-service chatbots tied into the systems our smart building team installs. Retail & F&B: footfall analytics, demand forecasting, and Arabic/English customer-service automation. HR & recruitment: candidate screening (Falcon Vision), attendance analytics, and people-ops dashboards — see how a UAE firm runs AI people operations in practice. Media & marketing: Arabic content generation at scale (Nasij) and generative AI workflows already running in UAE businesses today.
Every project follows the same spine: a paid discovery phase (AED 8,000–60,000 depending on scale) that produces a written spec, data audit, and ±15% estimate — then build, evaluation against agreed quality metrics, deployment, and a year-one operations plan covering monitoring and retraining. You see model quality numbers before launch, not after complaints. We deliberately keep the option open to tell you not to build: roughly a third of AI enquiries are better served by conventional software or process change, and hearing that in week zero costs you a meeting instead of a budget.
Our sweet spot is UAE SMEs and mid-market companies investing AED 60,000 to 1.5M in AI — large enough to need real engineering, focused enough not to need a G42-scale program. If you are comparing vendors, our honest Top 10 AI Companies in Abu Dhabi guide maps the whole landscape, including where we are not the right fit.
Before we build anything, we consult. Skyline provides enterprise AI consulting for UAE businesses: AI strategy, workflow mapping, data-readiness review, use-case prioritisation, and ROI modelling. If you are comparing AI consulting companies in Abu Dhabi, the difference with us is that we are engineers, not slide-deck consultants — the same team that advises you can build and operate the solution. We also advise on conversational AI (chatbots, voice assistants, WhatsApp automation) where that is the right fit, and tell you plainly when it is not. Consulting engagements start with a fixed-fee discovery phase (AED 8,000-60,000) that produces a written spec and a realistic estimate — yours to keep, whether or not you build with us.
Not every company wants to own AI infrastructure. Our AI-as-a-Service (AIaaS) model lets UAE businesses run production AI on a managed, subscription basis: we host, monitor, retrain, and support the system while you pay a predictable monthly fee instead of a large upfront build. AIaaS suits teams that want AI outcomes — document processing, customer-service automation, analytics — without hiring an ML team or buying servers. We scope which model fits, then run it for you with UAE data-residency and PDPL handled.
Typical ranges in 2026: SME chatbots and assistants AED 60,000-150,000; document AI and OCR pipelines AED 80,000-250,000; computer vision AED 120,000-400,000; digital onboarding/eKYC AED 150,000-500,000; custom fine-tuned platforms AED 350,000-1.5M+. The exact figure depends on integrations, compliance requirements, and data readiness — our free estimator gives a tailored range in about 90 seconds.
A SaaS-API based assistant ships in 4-8 weeks. Document AI and computer vision typically take 6-16 weeks. Regulated digital-onboarding flows run 10-20 weeks including compliance review. Custom-model platforms take 16-40 weeks. The biggest variable is usually client-side data readiness, not engineering.
Yes — every deployment is PDPL-compliant by design: explicit consent capture, lawful-basis documentation, data minimisation, right-to-delete, and 72-hour breach notification. For regulated sectors we additionally engineer to CBUAE, ADHICS, and NESA/SIA requirements, including audit trails and UAE data residency.
Yes. For workloads that must stay in-country we deploy on Azure UAE Central, AWS UAE-resident regions, sovereign UAE facilities, or fully on-premise hardware. We are model-agnostic — where sovereignty matters we use open-weight models (including UAE-developed Falcon variants) that run entirely inside your infrastructure.
Properly, yes — not machine-translated English. We build Arabic-capable chatbots, content generation (see our Nasij project), and document intelligence with dialect awareness for GCC audiences. Arabic UX review is part of every customer-facing deployment because most global AI SDKs handle RTL and Gulf Arabic poorly out of the box.
Start with a scoping conversation — we'll tell you honestly if your problem is better solved with conventional software, process change, or off-the-shelf SaaS. Roughly a third of the AI enquiries we receive don't need custom AI, and we'd rather tell you that in week zero than at invoice time. Discovery engagements run AED 8,000-60,000 and produce a written spec either way.
Yes — enterprise AI consulting covering strategy, workflow mapping, data-readiness review, use-case prioritisation, and ROI modelling, including conversational AI (chatbots, voice, WhatsApp) where it fits. We are engineers rather than slide-deck consultants: the team that advises you can also build and operate the solution. Consulting starts with a fixed-fee discovery phase (AED 8,000-60,000) that produces a written spec you keep regardless of who builds it.
AI-as-a-Service (AIaaS) means running production AI on a managed, subscription basis instead of a large upfront build — we host, monitor, retrain, and support the system for a predictable monthly fee. It suits UAE businesses that want AI outcomes (document processing, customer-service automation, analytics) without hiring an ML team or buying infrastructure. We scope the right model, then operate it with UAE data residency and PDPL compliance.
Let us help you implement the best solution for your business.
