How AI Improves Accuracy in Healthcare Processes

Health insurance companies and providers face multiple rejections and huge penalties due to incomplete documentation. To improve payor performance, the HEDIS analytics platform integrates consumer, clinical, provider and payer data to analytical data that healthcare stakeholders can readily use to improve the health of their patients and populations. 
The platform is on HEDIS quality measure reporting rules driven by data extracted from more than 15 EMR systems. HEDIS analytical platform helps in remediating the gaps in data collection through pre auditing of data and to improve the efficiency of HEDIS reporting. 

By providing the functionality of care gap identification, HEDIS analytic platform calculates the care gap for different payors and EHR system.

Objective of the Rental Automation Platform was to digitize and automate rent collection, lease management, and jurisdiction-based compliance workflows for landlords and tenants across multiple regions.
Traditional rental operations require manual tracking of payments, late notices, lease terms, and legal compliance — all of which vary by province/state and create operational risk and administrative overhead. The goal was to design a unified SaaS platform that embeds regulatory intelligence, automates rent workflows, and provides an audit-ready system for dispute or legal proceedings.

Platform is designed to:

• Automate rent collection and payment reconciliation
• Generate legally compliant notices based on jurisdiction rules
• Track physical and digital delivery of notices for legal proof
• Provide AI-driven compliance validation and rule automation
• Enable secure tenant–landlord communication and audit trails
• Deliver real-time dashboards for payments, leases, and compliance
• Maintain immutable logs for dispute resolution and hearings

The solution transforms rental operations into a compliant, data-driven, and highly automated ecosystem for both landlords and tenants.

Legal professionals and general users often struggle to navigate complex legal language, fragmented legislation sources, and time-consuming legal research processes. The client required an AI-powered solution capable of simplifying legal discovery while improving accessibility and research speed.

smartData designed and developed INAC, an AI-enabled legal research platform that allows users to ask natural language legal questions and receive simplified, context-aware responses. The platform includes AI-driven legal search, intelligent filtering, legal summaries, chatbot-based interactions, subscription management, and an admin dashboard for content and platform management.

The solution improves legal information accessibility, reduces manual research effort, and enables users to understand Australian legislation more efficiently. The scalable architecture also supports future expansion into additional jurisdictions and advanced AI-driven legal assistance features.

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.

An enterprise-level fintech & document-driven workflow automation platform. integrated document workflow solutions transform traditional roadblocks like accounts payable processing, document management, forms, and inventory/project management for industries including aged care, mining, retail, and manufacturing. It's an integrated platform allowing companies to plugin within other third-party platforms to handle & transmit data/info/processes etc in a secure & efficient manner.