SM Stratagem builds ai software development for Doha teams that care about deployment, evaluation, and monitoring — not just the demo that impresses the boardroom.
We build ai software development for teams in Doha that need working software, not a slide deck for next quarter's steering committee. Most briefs we see out of Doha come from energy, finance, and sports infrastructure — the vertical shifts, but the shape of the problem does not. So our default is AI-enabled software products built the same way regular software is — with tests, review, deploys, and monitoring, measured and iterated before anything touches production traffic. By the time we hand over, the system is deployed on your cloud, monitored on your dashboards, and covered by tests your engineers can read. The team is remote-friendly but in-region, so travel to Doha for workshops and go-live is standard, not a favour we ask for. Our differentiator for ai software development in Doha is honest scoping — if the smallest useful version fits in a month, we say so and we build that first. If the project has already stalled once, the shape of the first release was usually wrong — that's fixable in a week, not a quarter.
Buyers in Doha 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.
AI features live inside a normal codebase with normal tests, code review, PR discipline, and CI/CD. They ship the same way any other feature ships. No AI island.
Every AI feature has a p95 latency budget and a cost-per-request target. Product decisions are made with those numbers on the table.
AI features ship behind feature flags, get tested on a fraction of traffic first, and roll out cleanly. When something misbehaves, it's turned off in seconds.
You get a codebase your engineers can read, the AI-specific parts documented, and a runbook for the common failure modes. No black boxes.
Products where AI is central to the value — from a first working release through public launch, with the software discipline that keeps them alive after.
Add AI features (drafting, summarising, personalising, extracting) to a product you already ship, without destabilising the codebase around them.
Internal tools where AI is a first-class citizen — replacing spreadsheets, playbooks, and slow processes with software people actually want to use.
For QatarEnergy contractors, QFC-registered firms, and ministries in Doha, we deliver AI-enabled software inside existing vendor frameworks and procurement rules. Compliance is a delivery input, not a surprise at UAT.
It means building software where AI is a first-class feature, using the engineering practices that keep normal software alive: version control, code review, tests, staged deploys, feature flags, monitoring. Most 'AI projects' fail because they skip these — the AI part is treated as special. It isn't. It just has one extra dimension (model behaviour) that needs its own evals and monitoring.
AI development is the general umbrella. AI software development specifically means: the deliverable is a shipped software product with AI features, not a model or a Jupyter notebook. That framing matters because it changes what you build — you spend a lot of time on the software around the AI, not just on the AI itself.
Per-feature cost budgets, cheaper models for cheaper work, caching and prompt-level optimisation, and streaming so users don't pay for completions they don't wait for. Every AI feature has a dashboard showing cost per week and cost per active user, so when usage scales the finance conversation has real numbers, not surprises.
A first working release with one AI feature inside an existing product is usually four to six weeks. New AI-native products from zero to public launch typically run three to six months, depending on how much surrounding software (auth, billing, admin, integrations) has to be built alongside the AI. We ship weekly through both.
Yes. We prefer to work inside your codebase, following your conventions, using your CI/CD, going through your code review. That way what we build is legible to your team from day one and doesn't require a hand-over ceremony to maintain. If you don't have a codebase yet, we set one up in the shape we'd want to hand over — Next.js, TypeScript, Postgres, standard cloud, boring by design.
Yes. Most projects include the infra as part of the delivery — Terraform for the cloud setup, CI/CD for deploys, monitoring and error tracking wired in, and a runbook for the common failure modes. Handover includes access, secrets rotation, and a walkthrough so your team can operate the system from day one after we leave.
Yes. Public-sector and energy-adjacent work in Doha typically requires sitting inside an existing vendor framework and delivering under strict procurement rules. That's the shape we default to. We don't take POC-only work in Qatar — it wastes everyone's time — so we scope for production from the start.
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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.