AI development · Generative AI
Choosing a generative AI development company in Dubai comes down to whether it can turn a model demo into a product your staff use daily. Next Orbit builds LLM applications that draft, summarise, extract, translate and search over your own documents and data. Retrieval, evaluation and access control are designed in from the start. We work with hosted and open-weight models and keep the model layer swappable.
Quick answer
A generative AI development company in Dubai designs and builds applications on large language and image models. These are grounded in the data of the client rather than general internet knowledge. Next Orbit delivers document assistants that answer from contracts and manuals, and drafting tools for proposals, reports and customer replies. It also builds extraction pipelines that turn invoices and forms into structured records, and search that understands meaning in Arabic and English. Each application combines a model, a retrieval layer over your content, guardrails and an evaluation set, and connects to your ERP, CRM or intranet. The work is delivered from Dubai for clients across the UAE and the GCC, as SaaS or in a dedicated deployment.
What we deliver
Pick a deliverable to see what it covers and the part of the stack behind it.
Deliverable 01
An assistant that answers questions from your contracts, manuals, policies and tickets with the source passage shown. Documents are ingested from SharePoint, Google Drive, email or your DMS, then chunked and indexed with permissions preserved. Each user only sees answers from files they may open.
From the stack
Deliverable 02
Tools that draft proposals, tender responses, customer replies and management summaries from your templates and data, in Arabic or English. Output follows your style guide and every draft is marked for human review. The tool learns from accepted edits through curated examples rather than silent retraining.
From the stack
Deliverable 03
Invoices, delivery notes, forms and contracts are read by vision and language models and turned into structured records with confidence scores. Low-confidence fields route to a reviewer, and the validated output posts to e-tijariX, SAP, Odoo or any system with an API.
From the stack
Deliverable 04
Search that understands meaning rather than keywords across products, knowledge bases and archives, with Arabic morphology and transliteration handled properly. Results are ranked by relevance and permissions, and the same index powers chatbots and assistants, so content is maintained once.
From the stack
Deliverable 05
Assistants that help engineers and analysts write SQL, explain legacy code, generate test cases and query dashboards in plain language. Access is scoped per role, queries run read-only by default and every generated statement is logged for review by the data team.
From the stack
Deliverable 06
Prompt-injection defences, content filters, personal data masking and rate limits are built in. An evaluation harness scores each release and usage and cost are tracked per team. Next Orbit supports the application after launch with model updates and prompt tuning.
From the stack
Swipe to see every deliverable →
Part of our AI development service. The same architecture-first process, quality control and support apply; tell us the problem and one of our expert engineers will map it to a plan.
Discovery CallWe serve clients from one office in Dubai across Dubai, Abu Dhabi, Sharjah, the whole UAE and the GCC.
Projects range from a document assistant for one department to integration of models across an ERP, CRM and intranet. Every build works in Arabic and English and is demonstrated on Next Orbit sample data first. It can run in a dedicated deployment where your compliance rules require it.
Retrieval-augmented generation keeps the model inside your approved content, cites sources and refuses outside its scope.
That is what makes generative AI usable for regulated work.
An evaluation set of real tasks scores accuracy, tone and completeness in both languages.
Every prompt or model change is re-scored before it reaches users.
Prompts, tools and retrieval sit behind one interface, so you can move between hosted and open-weight models as price, performance or residency requirements change.
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 from our AI development practice 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 it runs
5 stages, each with a deliverable you can review and sign off before the next begins.
We rank candidate use cases by value, data readiness and risk, then pick one to prove first.
Documents and systems are connected, permissions mapped and personal data handling agreed with your IT and legal teams.
A working prototype on Next Orbit sample data, then on a sample of your own content, reviewed with users.
Full build with retrieval, guardrails and integrations, scored against the evaluation set before release.
Monitoring, cost control, prompt and model updates, and new use cases added on the same platform.
Who it is for
Contract review, clause search and policy questions answered with citations.
Proposal and tender drafts assembled from past bids and price lists.
Suggested replies, ticket summaries and knowledge search for agents.
Invoice and form extraction feeding the ERP with reviewer sign-off.
Manuals, drawings and maintenance history searchable in plain language.
Bilingual service assistants and document processing with strict access control.
Questions, answered
Applications on large language and image models: document assistants, drafting and summarisation tools, extraction pipelines, semantic search, code assistants and chatbots. Next Orbit builds these on your own data with retrieval, guardrails and evaluation. We integrate them with your ERP, CRM and intranet and support them after launch from our Dubai office.
Connecting models to the systems where work happens: ERP, CRM, document management, email and intranet. We build the APIs, event hooks and data pipelines, apply permissions and masking, and add monitoring. Integration is often the larger part of a generative AI project, and it is where a working demo becomes a dependable tool. See systems integration.
A generative AI development company in Dubai should show you a working application on real documents, not a slide deck. Check that evaluation results are shared and that data handling and residency options are explained plainly. Arabic should be tested and not assumed, and the team should integrate with your existing systems. Then ask who supports the application after launch.
Both. Next Orbit is a Dubai software company with an AI practice. A generative AI feature therefore arrives with the web, mobile, integration and testing work around it. That matters because most of the effort in a successful AI product sits outside the model. It goes into data pipelines, permissions, interfaces and support.
Yes. Open-weight models can run in your cloud account or on premises as a dedicated deployment where your compliance rules require it. Hosted models can be used through regional endpoints where available. The application is built so the model can be swapped without rewriting prompts, tools or retrieval.
Yes. As an AI development company in Dubai we work from one office. We deliver for clients in Abu Dhabi, Sharjah, the other emirates and across the GCC. Discovery workshops run on site or online. The application runs in the cloud or in a dedicated deployment, so location does not change the service.
Retrieval limits the model to your approved content. Prompts require it to cite the passage used and to decline when nothing relevant is found, and output checks catch unsupported claims. The evaluation set measures how often answers are grounded. Low-rated responses are reviewed so content gaps are fixed at source rather than patched in prompts.
Further reading
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.
How to build an Arabic AI chatbot for UAE customers: dialects, mixed Arabic and English, RAG grounding, WhatsApp and web channels, guardrails and measurement.
Pick what you need and the right person on our team replies.
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What happens next
A Discovery Call maps your operation to a plan: what to build first, what it connects to and how it goes live.
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