The project aims to create a SaaS-based platform for multiple construction companies, enhancing project management and collaboration. Key features will include project scheduling, task assignments, performance monitoring, and real-time status tracking with notifications. The platform will support quality control inspections, ensure payments are released only upon completion of specific construction stages, and provide a document management system. Additionally, it will feature a holiday rule engine, accounting management tools, and visual scheduling options like Gantt and calendar views. Ultimately, this platform will streamline operations and improve communication among construction stakeholders.

An AI-native takeoff and intelligent document processing platform for the commercial construction industry that automates material (glass, doors, window) takeoff and hardware extraction from architectural project documents. The solution processes floor plans, elevations, material schedules, specifications, and related drawings to identify, classify, and extract information with high accuracy. 

It applies engineering rules to validate extracted data, highlights discrepancies, and enables estimators to review, verify, and export standardized Excel outputs. 

The platform significantly reduces manual estimation effort, improves consistency, and accelerates bid preparation while maintaining full traceability back to the source drawings.

The objective of this project was to transform a fast-growing construction materials supplier into a fully integrated, AI-enabled digital operations platform.

The client was managing bulk orders, warehouse coordination, supplier procurement, and accounting across disconnected systems. This resulted in delayed responses, manual reconciliation, limited stock visibility, and heavy dependency on staff for routine customer queries.

Our goal was to build a unified ERP ecosystem using ZohoOne, fully integrated with MYOB for financial control, while embedding AI Agents to automate customer communication and operational support.

The AI Agents were designed to:

• Instantly respond to customer queries related to order status, invoices, and delivery timelines
• Reduce dependency on manual call handling
• Provide 24/7 support without increasing headcount
• Assist internal teams with quick data lookup and order insights
• Improve response time and customer satisfaction

This solution was not only about automation - it was about creating an intelligent operational backbone that improves efficiency, reduces overhead, strengthens financial accuracy, and supports scalable growth.

Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.

The Medshafy App is a B2B eCommerce platform designed for healthcare product purchases. The app allows users to browse, search, and order healthcare products, while the admin panel enables product management, order tracking, and user management. The platform supports multilingual functionality (English & Arabic) and integrates secure payment gateways like PayTabs and Apple Pay.

The project aims to develop a service marketplace platform where skilled labor can be hired by clients for specific jobs or tasks. It focuses on creating a user-friendly interface for both clients and service providers, providing a wide range of features to facilitate seamless communication, job management, and booking processes. The solution includes mobile applications for Android and iOS, as well as a comprehensive admin panel to oversee all activities.