Case Studies

How the work actually went

The problem each client brought us, what we built, and what it does in production.

01 · AI

Coordees

COORDEES is a centralized CCTV technician service management platform built for the UAE. It connects customers with a verified network of CCTV technicians, enabling service requests, technician assignment, real-time job tracking, communication, payments, and service management through a unified digital platform.

Category
AI
Coordees — product screenshot

The challenge

CCTV installation and maintenance across the UAE runs through a scattered network of independent technicians. Customers find one by word of mouth, the job gets arranged over a phone call, and the details live in somebody's message history.

Nothing ties it together. There was no single place to raise a request, see which verified technician had taken it, follow the work while it happened, and settle payment against it.

What we built

We built COORDEES as one platform covering the whole job lifecycle rather than a booking form bolted onto an existing process.

A customer raises a service request. The platform assigns it to a technician from a verified network, and both sides follow the job in real time. Messaging stays attached to the job instead of a personal phone, so the history survives after the work is done. Payment is collected through an integrated gateway against the same record.

WhatsApp automation carries notifications into the channel people in the region already use, so a technician does not need the app open to know a job has landed.

The outcome

Work that used to be spread across phone calls now has one operational record.

The customer can see who is coming and where the job stands. The technician receives assignments and updates without chasing anyone. The operator gets a service management layer over the entire network, rather than a contact list and a memory of who is reliable.

Built with

CCTVTechnician NetworkService ManagementUAEBooking PlatformWhatsApp AutomationReal-Time TrackingPayment GatewayField ServiceSaaS
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02 · Mobile

MindNest

MindNest is a multi-purpose mental health and wellbeing platform designed to provide accessible emotional support, non-diagnostic medical guidance, professional assistance, crisis response, self-help tools, moderated communities, and reintegration support. The platform combines AI-powered assistance, verified professionals, community support, wellness tracking, educational resources, and crisis-response features in one secure and user-friendly application.

Category
Mobile
MindNest — product screenshot

The challenge

Mental health support is scattered across crisis lines, therapist directories, self-help apps and peer forums — each one a separate place to find, sign up for and learn. The person least able to do that navigating is the person who needs it most urgently.

There is a second constraint that shapes everything: a product in this space has to be careful about what it claims. Guidance has to stay non-diagnostic, and it has to know when to stop and route to a human.

What we built

MindNest puts the full range of support in one application, so moving between kinds of help does not mean starting over somewhere else.

AI-powered assistance handles immediate emotional support and non-diagnostic guidance. Verified professionals cover anything clinical. Moderated communities provide peer support, alongside wellness tracking, self-help tools and educational resources. Crisis-response features are built in for the moments that need them, and reintegration support covers people returning after a period of care.

The outcome

The escalation path lives inside the product. Someone can arrive for a self-help tool, talk to the AI assistant, and reach a verified professional or a crisis response without leaving the app or repeating their situation from the beginning.

Keeping the AI explicitly non-diagnostic and routing clinical questions to verified professionals is a design decision, not a disclaimer — it is what makes the rest of the platform safe to offer.

Built with

Mental HealthWellnessAIHealthcareTelehealthCrisis SupportProfessional SupportCommunitySelf-HelpMobile App
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03 · AI

Mediplex (Tindancare)

A comprehensive healthcare platform featuring dedicated mobile applications for both patients and doctors. The system includes live telemedicine video consultations (WebRTC), AI-powered assistance (Google Gemini), a pharmacy medicine ordering system, digital prescriptions, and an integrated wallet and subscription system. The backend is built with Node.js, Express, MongoDB, Redis, and Socket.io, while the cross-platform mobile apps are built using Flutter.

Category
AI
Mediplex (Tindancare) — product screenshot

The challenge

A telemedicine product is rarely one product. Patients and doctors need genuinely different applications. A consultation is worth little if a prescription cannot follow directly from it, and a prescription is worth little if the medicine cannot then be ordered.

Build any one of those pieces on its own and the patient is left to bridge the gaps — which is exactly the friction the product was meant to remove.

What we built

Two Flutter applications, one for patients and one for doctors, over a shared Node.js and Express backend.

Live consultations run over WebRTC. Google Gemini provides AI assistance inside the consultation flow rather than as a separate chatbot. A consultation produces a digital prescription, the prescription leads into the pharmacy ordering system, and an integrated wallet and subscription system handles payment across all of it.

MongoDB holds the clinical and account data, Redis handles caching and sessions, and Socket.io keeps real-time state — call signalling, presence, status changes — in sync across both apps.

The outcome

The full path from booking a consultation to receiving medicine sits inside one system, with each step handing off to the next instead of dropping the patient back to a phone call.

Because both apps share a backend, a change to how consultations or prescriptions work ships once and reaches doctors and patients together.

Built with

HealthcareTelemedicineFlutterNode.jsMongoDBWebRTCAISaaS
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