Service
Next Orbit is an AI development company in Dubai that puts AI into production, not into pilots that stall. We build AI agents that complete multi-step work, Arabic and English assistants that answer from your own documents with citations, vision models that check site and product photos, and forecasting models that sit inside your ERP. We run AI every day in e-trainia, our own platform, and in the platforms we implement for clients, so we design for cost, accuracy, audit and data residency from the first workshop. We serve Dubai, Abu Dhabi, Sharjah, the entire UAE, the GCC and globally.
Quick answer
AI development company in Dubai, UAE. We build AI agents, Arabic-English LLM assistants and vision models that work inside your ERP, CRM and field apps.
AI agents, LLM assistants, computer vision and forecasting models wired into the systems your teams already use. Every engagement is architecture-led, built by an innovative, R&D-backed team of security-first engineers and quality-controlled before each release, for clients across Sharjah, Dubai, Abu Dhabi, the GCC and worldwide.
What we build
Pick a capability to see what it covers and the part of the stack behind it.
Capability 01
Agents that read your data, call your systems through APIs and finish bounded tasks: chasing supplier deliveries, preparing quotations, triaging tickets, checking documents. Every action is logged and sensitive steps wait for human approval.
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Capability 02
Arabic and English assistants grounded in your policies, contracts and product data, with source citations so staff can check every answer. Built on the model and hosting your data policy allows.
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Capability 03
Image and video models for plan-versus-actual progress checks, defect detection, counting and safety monitoring, trained and tested on your own photos and footage.
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Capability 04
Demand, cash-flow, churn and maintenance forecasts delivered as features in the software your team already opens each morning, not as a separate data-science report.
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Capability 05
Extraction and checking for invoices, tenders, delivery notes, drawings and contracts in Arabic and English, with confidence scores and an exception queue for human review.
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Capability 06
A short, paid assessment that ranks use cases by value, data readiness and integration effort, then proves the strongest one on your real data.
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Swipe to see every capability →
Have a AI development idea that does not fit a template? That is the work we like: tell us the problem and one of our expert engineers will map it to an architecture.
Discovery CallMost of the value in business AI comes from integration, not from the model.
A strong model that cannot see your ERP, respect user permissions or write back to your systems becomes another tab nobody opens. As an artificial intelligence company in Dubai, we spend as much effort on data pipelines, access control, audit logs and workflow design as on prompts and evaluation. The outcome is AI that lives inside your ERP, CRM, help desk or field app and does measurable work.
We apply AI in live platforms before we recommend it to you.
MeezanX, the EPC project controls platform we implement and support, uses AI to validate plan-versus-actual photo evidence before a vendor’s progress claim reaches the approval chain. e-trainia, the learning and training management platform Next Orbit owns and builds, is AI-powered for course teams and learners. The patterns we refine there, such as retrieval, guardrails, evaluation suites and cost monitoring, carry straight into client projects in procurement, finance, HR, maintenance and customer service.
Generative AI projects in the UAE usually fall into three tiers, and we help you choose the right one.
AI chatbots answer customers and staff on WhatsApp, web and in-app channels from approved content only. Copilots draft quotations, summarise contracts, prepare board reports or write replies, with a person approving each output. Autonomous AI agents execute bounded tasks end to end, for example reconciling invoices against purchase orders or scheduling inspections, under spending limits, approval rules and full logging.
Arabic is not an afterthought.
We test retrieval on Arabic documents, handle mixed Arabic-English conversations, support right-to-left interfaces and run acceptance tests with native speakers before launch.
For operational businesses we train machine learning models on your own history: demand forecasting for trading and distribution, predictive maintenance from IoT sensor streams, anomaly detection in payments and expenses, and risk scoring for projects or learners at risk of not completing.
Computer vision covers progress validation from site photos, defect detection on production lines, PPE and safety monitoring, and counting assets from drone imagery.
Where a physical asset needs a living model, such as a plant, a water network or a building, we combine IoT telemetry, schematic or 3D views and simulation into a digital twin.
Operators can test a change on screen before they make it in the field.
UAE buyers ask where data goes before they ask anything else.
We can host models and vector stores in UAE cloud regions, including Microsoft Azure UAE North and UAE Central and AWS Middle East (UAE), or on your own servers with open-weight models. We design to your data classification and to the UAE Personal Data Protection Law, and to DIFC or ADGM rules where they apply. Prompts and documents are not used to train public models, personal data is masked where possible, and every agent action is traceable to a user and a timestamp.
If you are unsure where AI pays back, start with an AI readiness assessment.
We map candidate use cases against data availability, integration effort, risk and expected return, then build a proof of concept for the strongest one with an agreed success metric. You leave with a ranked roadmap, a working prototype on your data and a tailored proposal for production. Read our guide to choosing an AI development company in the UAE for the questions worth asking any vendor.
Architecture-first
Before a line of production code is written we draw the system: the people who use it, the services behind it and the systems it must talk to. This reference architecture is the starting point we adapt to your operation.
Flow 01 Documents AI layer Assistants
Flow 02 ERP / CRM data AI layer Actions in systems
Flow 03 Field inputs AI layer Dashboards & alerts
Flow 04 Guardrails & audit AI layer Assistants
Technology stack
Chosen per project from tools we run in production. Pick a category to see the part of the stack behind it.
How we deliver
5 stages, each with a deliverable you can review and sign off before the next begins.
Score candidate use cases on business value, data readiness, risk and integration effort. Agree one or two to prove and the metric that defines success.
Audit sources, quality, access rights and residency. Build the pipelines, embeddings and test sets the model will depend on.
A working prototype on your real data, scored against the agreed metric. Duration depends on data access and integrations, and is set in the proposal.
Integration, guardrails, evaluation suites, monitoring and cost controls, deployed to the cloud region or on-premise environment you require.
Usage analytics, model and prompt updates, drift checks and a feedback loop with the people who use the system every day.
Proof
On the EPC project controls platform we deliver, vendors upload plan-versus-actual site photos and AI checks the evidence before progress is approved. Rejected evidence goes back to the vendor with a reason, so the approval chain only sees claims that are already supported.
Our AI-powered learning and training management platform runs AI features in production against real course, learner and assessment data, in English and native Arabic RTL.
An agent reads open purchase orders, emails suppliers for delivery dates, updates the ERP and escalates late items to a buyer. Each step is logged and anything above a value limit waits for approval.
The same core team builds e-trainia and implements and supports MeezanX, AuthentiQ and e-tijariX, so the retrieval, guardrail, evaluation and cost-monitoring patterns in your project are already proven in production software.
Platforms we offer
e-trainia is our own platform; e-tijariX, MeezanX and AuthentiQ we implement and support. Each can be customised for your operation.
EPC project controls & governance
Plan, actual and forecast for EPC projects in one controlled system, not a stack of spreadsheets.
S-curves recalculated on every approval
Explore MeezanXAI-powered learning & training management
An LMS and a training management system in one platform, in English and native Arabic.
Arabic RTL native right-to-left interface
Explore e-trainiaQuestions, answered
A working system connected to your data and processes, not a demo. Typical deliverables are an AI agent inside your ERP that prepares purchase orders, an Arabic-English assistant grounded in your documentation, or a vision model that checks site photos. You also receive documentation, evaluation results and a support plan. Ownership and licensing of the software are defined in each agreement.
Cost is scope-based. The main drivers are the number of systems the AI must read from and write to, the state of your data, the volume of usage (which drives model fees), hosting requirements such as UAE-only residency, and the level of human review needed. We start with a readiness assessment and proof of concept, then issue a tailored proposal for production once the numbers are grounded in your data. Our AI development guide for the UAE covers the cost drivers in detail.
It depends on scope and data access. A focused proof of concept on one data source is usually measured in weeks, while a production agent integrated with several systems is delivered over iterative sprints and phased releases. We set milestones in the proposal after discovery rather than promise a date before we have seen your data.
Yes. We can deploy on Microsoft Azure UAE North or UAE Central, AWS Middle East (UAE), or your own infrastructure, using in-region model endpoints or open-weight models you control. We design to your data classification and the UAE Personal Data Protection Law, and to DIFC or ADGM regimes where relevant.
Yes. Our assistants handle Modern Standard Arabic, common Gulf phrasing and mixed Arabic-English messages, with right-to-left interfaces and Arabic document retrieval. Native speakers test answers before launch, and we track Arabic answer quality separately in the evaluation suite.
The one that fits your accuracy, cost and residency needs. We work with OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock and open-weight models such as Llama and Mistral. The architecture keeps the model swappable, so you can change provider later without rebuilding the application.
Agents get narrow tool permissions, spending and volume caps, approval steps for high-value actions, and a full log of every decision. We test them against recorded scenarios before release and monitor live behaviour afterwards. Our article on AI agents for business in the UAE explains the controls in more detail.
Yes. The AI readiness assessment is a standalone engagement that produces a ranked use-case roadmap, data findings and cost drivers. You can continue to a proof of concept with us, but there is no obligation. Book a Discovery Call through our contact page to scope it.
Further reading
What AI agents for business in the UAE can do, where they fit next to chatbots and RPA, practical use cases, and the guardrails to put in place before go-live.
How to choose an AI development company in Dubai: use cases, data readiness, UAE PDPL, LLM agents and the questions to ask before you commit budget.
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