This digital platform is designed for radiologists and imaging professionals, offering a secure and streamlined solution to convert faxed imaging request forms into structured digital data. By leveraging advanced AI for data extraction and processing, it simplifies the traditional fax-based workflow, enabling healthcare experts to review, update, and manage imaging protocols with ease. Operating within a fully HIPAA and PIPEDA-compliant environment, the platform addresses the unique challenges of medical imaging management, ensuring efficiency, accuracy, and enhanced patient care throughout the diagnostic process.
The client was looking to develop a solution to analyse human behaviour based on handwriting. The use case can provide a lot of information about an individual which can particularly be used by HR while conducting the recruitment drive. As a solution we have provided an AI-based solution where we have utilized Computer Vision to analyse the candidate’s handwriting. There were 17 matrices which were prepared and independently scored. The final score was the average of all the 17 matrices which were mapped to the psychologist inferences.
Law students often face challenges in effectively preparing for exams, particularly in mastering the skill of identifying and analysing legal issues within complex fact patterns. Traditional study methods may not provide the personalized feedback necessary for students to improve their issue-spotting abilities, leading to suboptimal exam performance. We developed a “Issue Spotting Essays” feature, a comprehensive tool designed to enhance students’ exam preparation.
The intent of the application is to create SOAP notes for the patient history by using chatGPT and a private knowledge base. The proprietary extension parses patient history from the patient management website and sends it to the backend API. The backend API receives the patient history and returns the generated SOAP notes to the client extension.
AI-Based Contact Center System is designed to address this need by providing a state-of-the-art platform that harnesses the power of advanced artificial intelligence. Our system offers a comprehensive suite of tools and features specifically crafted to enhance customer interactions across a range of industries, including Healthcare, Retail, Fintech, Real Estate, and more. By integrating sophisticated AI technologies, we enable contact centres to streamline operations, optimize performance, and deliver superior service. This solution combines real-time transcriptions, intelligent analysis, and interactive bots to create a seamless and efficient customer experience.
Our market research automation platform simplifies data collection, adapts surveys in real-time, and delivers instant, actionable insights. With scalable reporting and robust security, it streamlines research processes, reduces manual work, and ensures compliance, helping organizations make faster, data-driven decisions and stay competitive.
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.
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:
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.