SM Stratagem builds custom chatgpt development for Dubai teams that care about deployment, evaluation, and monitoring — not just the demo that impresses the boardroom.
We build custom chatgpt development for teams in Dubai that need working software, not a slide deck for next quarter's steering committee. Dubai's pull for us is free-zone tech and trade, and teams sitting inside DIFC, DMCC, and the tech free zones rarely want another pilot that dies before rollout. In practice this looks like private ChatGPT-style systems trained on your data and deployed on your infrastructure — the code we ship is boring by design and easy for the next engineer to read. The engineering is only half of it — we also leave you with the evals, the dashboards, and a rollback plan for the day something goes sideways. The team is remote-friendly but in-region, so travel to Dubai for workshops and go-live is standard, not a favour we ask for. We keep custom chatgpt development teams small on purpose — usually three to five people on your project — so the person building understands the full system, not just their slice. If you already know the outcome you want, we can scope the first release inside a week and start building the week after.
Buyers in Dubai are done with pilots. What they want now is one production system, measured, running, and reducing a real cost line or lifting a real revenue line. That's the frame we work inside.
The private ChatGPT sits inside your cloud account or on-prem. No conversations training external models, no data leaving the perimeter you control.
Answers pull from your documents, wikis, tickets, and product content, with citations. It's a ChatGPT that actually knows your business.
Log in with your identity provider, see the documents your role is allowed to see, and nothing else. Access control matches your existing HR and Active Directory setup.
Every conversation is logged with user, timestamp, sources, and cost, so audit, security, and finance can see exactly what's happening across the tool.
A private ChatGPT trained on your policies, playbooks, and product content, available to every employee through SSO.
Sales copilots, legal review assistants, and support tools grounded on the docs the function actually cares about, not the whole company.
A private ChatGPT that meets your data-residency and audit needs, deployed in the cloud region your regulator expects.
For SaaS operators in DIFC, DMCC, and the tech free zones, we ship custom ChatGPT systems that plugs into the product you already sell, not a demo bolted on top. Auth, billing, and multi-tenant data separation are treated as day-one requirements, not backlog items.
ChatGPT Enterprise is a great product, but it's OpenAI-hosted, one-size-fits-all, and doesn't integrate deeply with your internal data or systems. A custom build gives you deeper knowledge integration, model choice (including open-source), your cloud region, and role-based access tied to your identity provider. If you don't need those things, ChatGPT Enterprise is fine and we'll say so.
Four to eight weeks for a first working version. That covers document ingestion, the chat UI, SSO integration, basic role-based access, and an initial evaluation set drawn from your team's real questions. Longer builds add multi-tenancy, advanced governance, deeper system integrations, bilingual output formatting, and continuous retraining pipelines that keep the assistant fresh as your knowledge base changes.
It depends on data-residency and workload. If data can go to a vendor API, Claude and GPT-4-class models via Azure OpenAI or AWS Bedrock give the best quality-per-effort. When data must stay on your infra, we use open-source models (Llama, Mistral, Qwen) — often lightly fine-tuned on your content — and benchmark against the closed-model baseline.
The ingestion pipeline runs on a schedule and re-indexes new or updated documents automatically. For high-change sources (a wiki, a ticketing system, a document management system) we set up webhook-driven updates so changes appear in the assistant within minutes rather than the next nightly run.
Yes. Role-based access tied to your SSO provider means the assistant only retrieves documents the user is entitled to see. If HR docs are restricted to HR, the assistant honours that boundary. We test this explicitly in evals — one of the eval categories is 'user of role X asks about restricted document Y' — because access-control bugs in retrieval are the most damaging kind.
Ongoing cost depends on usage and model choice. For a mid-market rollout on hosted models, expect a per-user monthly cost in the same order of magnitude as ChatGPT Enterprise, plus the compute you already run. For open-source deployments the cost profile shifts to hardware and DevOps. We produce a cost model with each proposal so there are no surprises.
Yes — most of our client base sits in DIFC, DMCC, JAFZA, and Dubai Internet City. Vendor onboarding and procurement look different in each free zone, and we've been through them enough times to move faster than a firm doing it for the first time. Contracts, POs, and invoicing route through a UAE mainland entity we already run.
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We'll scope the first release, define the eval set, and give you a build plan you can hand to any engineering team — ours or yours.