Healthcare organisations handle vast amounts of information every day, from patient records and diagnostic reports to treatment plans and administrative data. Maintaining accuracy across these processes is essential because even small errors can affect patient care, operational efficiency, and healt...
Healthcare technology is evolving quickly, and modern healthcare organisations now expect digital systems to w...
Recent Portfolio Projects
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AI Takeoff and Document Extraction System
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 AI bot is designed to demystify the world of prescription assistance, offering a clear path towards managing patients medication needs affordably and efficiently. With the patient virtual assistant patient gain not just a tool, but a companion committed to helping you navigate the challenges of prescription assistance with ease and confidence.?
The goal is to enhance their ability to quickly read and interpret eligibility criteria from prescription assistance forms, answer frequently asked question which is dynamically managed by the staff.
Scalable Construction Supply ERP with AI Automation and Financial Integration
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.
The software is an online quoting and submission system. It works like amazon for insurance. It solves the problem of long waiting time for work completion in insurance industry and gets policy numbers out in few minutes. The product lines include contractor general liability, workers’ compensation, business owner’s policy & small business insurance, inland marine, builders risk, excess, commercial auto and contract bonds.
The platform is a managing general agent/ broker for commercial insurance. The software allows filling application online and sends application to underwriter to write policy and process submission after checking the consistency of information in application.
It is a loss control & prevention SaaS web and mobile platform that tracks, manages, and provide risk recommendation analytics & alerts in realtime. Helps property and construction insurers to securely manage & analyse on loss prevention information to reduce claims.
This project is based on OCR using python. The data from documents (hand written or scanned), images, excel, CSV is read and converted into structured data using NLP (natural language processing) and natural language tool kit (NLTK). Important data fields related to patient's visit to clinic or hospital are extracted and stored for further analytics.
