>Embedded Crew_

Your expert joins
the crew that builds

We don't send engineers to your organisation. Your domain expert — the person who knows how your business actually runs — joins our build team. One crew, shared understanding, software that fits from day one.

>your clinic_ >your school_ >your compound_

Family Dentistry — clinic operations dashboard

Compound Maintenance — resident dashboard

01 / How

Two crafts. One bench.

Your domain expertise and our engineering discipline, on the same team from the first conversation.

You know things about your business that no one can extract from a document. The unstated rules. The edge cases. The shortcuts real practitioners use. That knowledge is the most important ingredient in building software that actually works for you.

At Embedded Crew, your domain expert becomes part of the build team. Not interviewed and sent away. Not handing over a spec. Working alongside us — shaping decisions, testing assumptions, catching the things that only someone who does the work every day would catch.

We bring the engineering: the discipline of turning that understanding into software that is correct, complete, and built to last. You bring the domain. Both crafts sit at the same bench.

The model

>two crafts, one bench_

Your domain knowledge and our engineering, working as one crew. The software gets shaped by real understanding — not translated through documents.

What this is not

× Staff augmentation — we don't place engineers in your org

× Agency model — we don't interview you, disappear, and return with the wrong thing

× Freelancers — we deliver systems you can actually rely on

02 / Work

Built with

Three different domains. Three different domain experts at the bench. The same model every time.

Clinic Ops — pending treatments, invoices, and follow-ups

Healthcare

>your clinic_

Family Dentistry

Clinic management built at the pace of a working practice

The clinic's lead dentist — also the owner, manager, and system admin — embedded as domain expert. He shaped every layer: treatment planning UX, the invoicing model with its special cases — relatives paying for each other, pro bono work, remaining balances — and the day-to-day workflow for all four staff roles.

Deployed and in active use. Real-world operation surfaced what documents never would: back at the bench refining UX, not capability.

Tauri 2 / React / FastAPI / PostgreSQL / Desktop

Education

>your school_

IGCSE Study Buddy

AI-powered revision with instant grading, shaped by the teachers who set the exams

Key Stage 4 subject heads embedded as domain experts. They classified every past-paper question by curriculum topic and shaped what “good grading” and “useful feedback” look like — directly influencing the AI prompts that drive LLM-powered marking.

Students get randomised questions, instant MCQ grading, and AI-marked structured answers with part-by-part breakdowns against official mark schemes. Three subjects, cross-platform.

Tauri 2 / React / Rust / SQLite / Desktop + Mobile

Structured question with AI part-by-part marking

Resident dashboard — utility status and incident reporting

Invite-code activation — private to residents

Operations

>your compound_

Compound Maintenance

Replacing WhatsApp chaos with structured compound operations

The compound manager embedded as domain expert. He mapped the incident lifecycle — from reporting through community confirmation, admin response with estimated resolution times, to resolution and auto-close.

A mobile app with role-based flows for tenants and admins, Arabic-first with English toggle, giving operations end-to-end visibility for the first time.

React Native / Expo / FastAPI / PostgreSQL / Mobile

Community work

Wird

Native mobile

A mobile app for the Muslim community. Built because we're part of it. Currently publishing on Google Play.

embeddedcrew.com/wird→

Embedded Club

Full-stack web

Hardware library and community hub for Egyptian makers. A lending system for dev boards and tools most students can't afford individually. Built and hosted pro bono.

embeddedclub.org→

03 / Why now

The part AI can't do

AI changed the economics of custom software. It didn't change what makes software right or wrong.

As AI gets powerful enough to write most code, two ingredients become more valuable, not less.

Pillar 01

Yours

Domain knowledge

The deep understanding of how your business actually works. The unstated rules, the edge cases, the sequences that only someone who does the work every day would know. This cannot be extracted from a document or guessed by an AI.

Pillar 02

Ours

Requirements engineering

The discipline of drawing the right things out of a domain expert, structuring them so they can be built and verified, and keeping them coherent as the work evolves. Without this, even good domain knowledge produces a vague mess.

Skip the first pillar and AI confidently builds the wrong thing. Skip the second and you get something that looks right until it meets reality. Both have to be on the same team — which is what our model is structurally built for.

This is also why a small, AI-assisted crew can now build what used to require a large team. AI handles what AI is good at. Human attention is reserved for the parts that actually require humans: knowing what to build, and making sure it's right. Custom software is no longer only for big companies.

>how the work usually goes_

Phase 01

Proof of concept

We usually start by building a proof of concept — a mock-up, or a small working slice of the workflow. Enough for you to see what custom software shaped to your business actually looks like, before anything bigger is on the table.

Phase 02