Projects

Case studies from the work we've shipped

These projects have one thing in common: each was built to solve a specific business problem, put into production, and measured. Click a project card for the full case study.

Web Platform & Mobile

HuraGaz Field Operations Platform

We unified a web admin panel, driver and technician mobile apps, and a shared type-safe API into a single monorepo for gas distribution and field operations.

Problem: CRM, delivery, service calls, billing and field-team tracking ran in disconnected tools; daily operations were managed over the phone and on paper.
Result: Daily field operations digitized end to end
200,000+ orders and 30,000+ customers managed in one system

TypeScript
Turborepo
Next.js
React Native
Expo
Hono

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Web Platform & E-Commerce

KozyHoliday Booking Platform

We built a guest booking platform serving the Kaş region, a property-owner portal and an internal back-office on a shared design system and API layer.

Problem: Three separate interfaces — for guests, property owners and the internal team — became unsustainable without a shared design language and a single API layer.
Result: Three apps in one monorepo with a consistent experience via a shared design system
Guest, owner and internal flows fully digital end to end

React
TypeScript
Next.js App Router
Vite
React Router
Tailwind CSS

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ionBATech solar CRM dashboard and lead pipeline

CRM & Automation

ionBATech Solar CRM & Automation

For energy storage and solar provider ionBATech, we built a CRM automation unifying lead management, capacity planning, quoting and field installation tracking in one panel.

Problem: Selling solar and energy storage requires engineering before a product list: load profile, capacity planning and system design. That process ran scattered across spreadsheets, and leads and quotes fell through the cracks.
Result: Leads, quotes and installations unified in one CRM
Capacity planning and quoting standardized

TypeScript
Next.js
NestJS
PostgreSQL
Redis
Tailwind CSS

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Health tourism CRM patient case pipeline screen

CRM & Real-Time

Health Tourism Sales CRM

We built a CRM platform where doctors, assistants and sales teams collaborate on patient cases with real-time messaging and workflow tracking for health tourism agencies.

Problem: In health tourism a patient case requires constant back-and-forth between doctor, assistant and sales rep. When that communication scatters across WhatsApp and email, cases fall through the cracks and response times grow.
Result: Case communication consolidated in one system, fewer dropped cases
Doctors, assistants and sales work on the same case in real time

React
Redux
Node.js
NestJS
MongoDB
Redis

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Medproper hotel management dashboard and revenue charts

CRM & Enterprise Software

Medproper — Hotel Management CRM

We built an enterprise hotel management (CRM) system with inventory tracking, supplier management and revenue dashboards for a hospital-affiliated hotel.

Problem: The hospital-affiliated hotel tracked inventory, suppliers and revenue by hand; stock levels, purchase orders and revenue breakdown couldn't be seen in one place.
Result: Inventory, suppliers and revenue unified in one system
Critical stock levels tracked with automatic alerts

TypeScript
NestJS
TypeORM
PostgreSQL
REST
Docker

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Hospital website homepage with appointment search card

Mobile & Web Platform

Hospital Mobile App & Website

We contributed to the development of a hospital mobile app and website featuring appointment booking, doctor profiles and informational content.

Problem: Access to hospital services was scattered and cumbersome across booking, finding the right doctor and reaching department information. There was no single digital entry point for patients.
Result: Booking and information access consolidated into one digital entry point
Consistent mobile and web experience geared toward booking

Flutter
Next.js
Tailwind CSS
NestJS
Prisma
PostgreSQL

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AI & LLM

AI Appointment Assistant

We built a conversational AI assistant prototype for hospital appointment routing and service guidance using multi-agent workflows and LLM-based intent handling.

Problem: Routing patients to the right department and a suitable appointment created a heavy, repetitive workload at the call center. A simple chatbot couldn't understand context or perform a real action.
Result: Conversational routing for repetitive appointment requests
Smart triage to the right department via intent understanding

Python
LangGraph
LangChain
OpenAI API

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