Ship AI software without months of hiring.
For funded startups, product teams, and companies with a real AI product need. Namaa scopes, builds, and ships AI features, products, platforms, and internal tools in 6–16 weeks per scope.
Live proof: Reach More is our own B2B product, active across 9 sectors and 4 channels, with 10-minute activation from sign-up to first outreach.
For teams that need AI in production, not another prototype.
Ship is for teams with a clear product need, a real user or internal workflow, and a business reason to move now. You may already have a product team. You may not have the AI delivery capacity yet.
Best fit
- A funded GCC startup building an AI feature or product.
- A product leader who needs a scoped AI delivery team.
- A technical founder who needs extra AI product capacity.
- A mid-sized company building an internal AI tool.
- A global SaaS company adapting an AI workflow for MENA users.
Not the right fit
- A generic website or app with no AI engine.
- A vague AI experiment with no user, workflow, or business owner.
- A team looking only for hourly staff augmentation.
- A long discovery process with no production output.
AI product work breaks when the team treats it like normal software.
AI features are not only UI, APIs, and databases. They need product judgment, model behavior, data context, prompt design, evaluation, fallback paths, and user trust. Generic development teams can build the screen and still miss the intelligence layer.
Hiring the right AI product team can take months. Waiting can slow the roadmap, weaken the launch window, or leave internal teams experimenting without a production path.
What usually breaks
- The feature is scoped like normal software, but the model behavior is undefined.
- The team builds a demo, but not a production workflow.
- Data is available, but not shaped for retrieval or agent use.
- Arabic output is translated, not designed for Arabic users.
- Evaluation and edge cases are left until the end.
- No one owns the handoff between product, engineering, AI behavior, and launch.
We build the AI layer, feature, product, or internal tool.
Ship engagements are scoped around a specific software outcome. Sometimes that is one AI feature inside an existing product. Sometimes it is an internal tool. Sometimes it is a new product surface, workflow, or agent stack.
The goal is production utility. We define what the system should do, what context it needs, how users will interact with it, how quality will be evaluated, and what must be handed over at the end.
Common builds
- AI features inside existing products
- AI-native products and workflows
- Arabic-native user flows
- RAG layers for company or product data
- Agent stacks for research, sales, support, ops
- Voice agents and conversational flows
- Internal tools for teams
- Dashboards, review queues, human-in-the-loop
- Integrations with CRMs, databases, messaging
From product need to handover, in five stages.
Ship separates the work into five concrete stages so the AI layer is treated as a build problem, not a buzzword.
- 1Product need
User, workflow, business reason — clear before any code.
- 2AI behavior
Model selection, prompts, evaluation, fallback paths.
- 3Data & context
Retrieval design, schema, prompt context, ground truth.
- 4Production code
Built in your repo or an agreed delivery environment.
- 5Handover
Documentation, demos, and a clean transition to your team.
Scoped delivery, visible progress, production code.
Ship works best when there is a clear owner on the client side and a specific outcome to deliver. We scope the product need, define the technical path, build in visible increments, and keep the handoff practical.
Engagement rhythm
- 01 First call to understand the product, users, stack, data, and constraints.
- 02 Written scope and indicative quote within 48 hours if the fit is clear.
- 03 Technical and product scoping before kickoff.
- 04 Delivery plan with milestones, demos, and acceptance points.
- 05 Weekly demos or written progress updates.
- 06 Production code in the client repo or agreed delivery environment.
- 07 IP, access, and handover terms defined in the statement of work.
- 08 Launch support and documentation for the team.
We do not disappear into a black box. The client sees what is being built, where decisions are needed, and what tradeoffs affect quality, timeline, or cost.
Arabic AI is not an interface translation problem.
Many AI products fail Arabic users because the Arabic layer is added late. The buttons are translated, but the prompts, examples, retrieval logic, tone, user expectations, and edge cases still behave like an English-first product.
Namaa builds for Arabic and English context from the start when the product needs it. That matters for Gulf users, MENA SaaS expansion, customer support, search, voice, compliance workflows, and any product where language affects trust.
What we consider
- Arabic prompt design and output quality.
- Arabic-context UX and product copy.
- Gulf business language and user expectations.
- Arabic data sources and retrieval behavior.
- Mixed Arabic-English workflows.
- Voice and conversational behavior.
- Human review loops for sensitive outputs.
- Evaluation examples that reflect real Arabic use.
Defined scope. Honest about the limits.
Ship is a fixed-fee engagement per scope, with clear deliverables, and a clear list of work we do not take on.
How we scope
- Fixed fee per agreed scope.
- Clear deliverables before kickoff.
- Timeline tied to technical and product complexity.
- IP and ownership handled in the statement of work.
- Client access, data, and approval responsibilities defined early.
- Scope changes documented before work expands.
What we do not do
- We do not provide hourly staff augmentation.
- We do not build generic web or app projects without AI as the engine.
- We do not run long discovery phases with no production output.
- We do not promise model behavior that cannot be tested.
- We do not take regulated use cases lightly.
- We do not hide technical tradeoffs behind simple AI claims.
We ship from the same AI-native operating model we use ourselves.
Reach More is the lead proof: our own live B2B product, active across 9 sectors and 4 channels, with 10-minute activation from sign-up to first outreach.
The same delivery logic runs through Ship: scoped product thinking, AI workflow design, production engineering, launch readiness, and operating context after release.
- Reach More — live B2B product across 9 sectors
- 4 channels and 10-minute activation
- Operating model connects product, engineering, GTM, execution
- Founder involvement: scope, architecture, client relationship
Questions product teams usually ask.
How long does Ship take?
Most Ship engagements run 6–16 weeks per scope, depending on product complexity, data readiness, integrations, model behavior, and launch requirements.
What kinds of AI software do you build?
We build AI features, AI-native products, internal tools, RAG layers, agent stacks, voice agents, Arabic-native flows, and human-in-the-loop workflows.
Do you work inside our existing tech stack?
Yes, if the stack can support the outcome. We confirm the technical path during scoping and define delivery expectations before kickoff.
Who owns the code and IP?
Ownership is handled in the statement of work before kickoff. Ship engagements usually deliver production code into the client repo or an agreed delivery environment.
Can you build for Arabic users?
Yes. We treat Arabic as a product and behavior problem, not just translated text. That includes prompts, UX, data, tone, and evaluation examples.
Can you work on regulated use cases?
Possibly, but they require careful scoping. Legal, compliance, security, and approval requirements must be clear before we commit to delivery.
Do you provide staff augmentation?
No. Ship is a scoped delivery engagement. We build toward a defined product outcome, not open-ended hourly staffing.
What happens after launch?
We can hand over to your team, define a follow-on product scope, or support operations through a separate retainer if there is a clear need.
Bring us the product need,
the users, and the constraint.
Send us the brief. If the fit is clear, we turn the first conversation into a written scope and indicative quote within 48 hours.
