Ship, don’t demo
Evaluation harnesses and observability from day one. We measure whether a system actually works before calling it done — and keep measuring after launch.
Takween is an AI studio in Riyadh. We strategize, build, and embed intelligent systems that hold up in production — not demos, not decks.
Four commitments that shape how we work on every engagement.
Evaluation harnesses and observability from day one. We measure whether a system actually works before calling it done — and keep measuring after launch.
We use the right model for the job, not the trending one. Sometimes the right answer isn’t AI at all, and we’ll tell you that early rather than bill you to find out.
We don’t disappear at launch. Models drift, data shifts, and products evolve. The work that determines whether AI succeeds happens after the demo.
Native-quality Arabic and English, with real context for MENA market dynamics, regulatory requirements, and data residency.
Whether you need a point of view, a product built, or a team to partner with — we calibrate how we engage to the shape of your problem.
We map where AI creates genuine leverage in your business, audit your data and technical readiness, and hand you a build plan tied to measurable outcomes.
We design and build AI systems that solve a specific, painful problem well — deployed into your stack, your cloud, or on-premise.
We plug into your team as dedicated AI engineers — shipping models, agents, and pipelines alongside your product org on a retained basis.
The technical ground we cover across every engagement.
Multi-agent systems that research, decide, and execute across your tools and APIs.
Grounded assistants built on your documents, databases, and internal knowledge.
Domain-specific models trained on your data, your voice, and your context.
Detection, classification, and visual quality control for industrial and retail settings.
Time-series forecasting, anomaly detection, and decision-support systems.
Voice and chat assistants that handle Arabic natively — dialect, script, and context.
Eval harnesses, observability, and drift detection built in from the first commit.
Vector stores, pipelines, and the unglamorous foundation that determines whether any of it works.
Production delivery into cloud, on-premise, or hybrid environments with data residency handled.
Four phases, with a decision point at the end of each. You can stop after any of them.
We learn your business, audit your data, and identify where AI creates real leverage. You get a written assessment — including the parts where AI isn’t the answer.
We define the system architecture, choose models, set evaluation criteria, and agree on what success measurably looks like before writing production code.
Senior engineers build in short cycles with working software at the end of each. You see progress continuously — no six-week silence followed by a reveal.
Deployment, monitoring, and iteration. We track drift, tune performance, and either hand over to your team or stay on to run it.
تَكْوِين
Arabic — takwīn
formation, genesis — the act of bringing something into being.
Takween is an AI studio — part consultancy, part product company, part embedded engineering team. We exist for the moment organizations stop asking “what could AI do?” and start asking “how do we actually ship this?”
Our work spans strategic advisory for leadership teams, custom-built AI systems deployed to production, and long-term engineering partnerships where we function as your in-house AI team.
We’re bilingual, research-literate, and deliberately small — which means senior engineers do the work rather than hand it off.
Most start with a short discovery phase — one to two weeks where we audit your data, understand the business problem, and produce a written assessment. You own that document regardless of whether we continue together.
It depends on scope, and we’d rather scope honestly than quote blindly. Discovery engagements are fixed-price. Build projects are quoted after design. Embedded partnerships are a monthly retainer based on team size. We’ll give you a number before you commit to anything.
Yes. We’re based in Riyadh and work globally. Most collaboration is remote, with on-site time where the work genuinely calls for it.
Yes. We deploy to your cloud, on-premise, or hybrid infrastructure, and we design around data residency and compliance constraints from the start rather than retrofitting them.
We’ll tell you. It happens regularly. A well-designed rules engine or a fixed reporting pipeline often beats a model, and recommending the wrong thing costs us more in the long run than an honest no.
Senior engineers. We’re deliberately small, so the people who scope your project are the people who build it. There’s no handoff to a junior bench after the pitch.
Yes, natively — not as an afterthought or a translation layer. Arabic language work, including dialect handling and right-to-left interfaces, is core to what we do.
Your choice. We hand over with documentation and training, stay on for ongoing evaluation and iteration, or some combination. Models drift and requirements change, so most clients keep some level of ongoing support.
We reply to every message within 48 hours — with honest input, whether that’s a proposal or a pointer somewhere better.
Riyadh · Saudi Arabia · Working globally