How AI Improves Accuracy in Healthcare Processes

This platform is a comprehensive fleet management solution designed to help transport companies maximize the operational lifespan and reliability of high-value heavy-duty vehicles. By monitoring component wear and vehicle health in real-time, the system enables enterprises to achieve maximum fleet availability, minimize unplanned roadside breakdowns, and optimize maintenance expenditure for long-haul and regional assets.

The software is built for a diverse ecosystem, including Logistics & Freight Carriers, Vehicle Rental Companies looking to improve vehicle durability and lifecycle performance

Facilitaties patients to chat with AI based Medical Assistant to share the current medical condition symptoms

Medical Assistant assess the diagnosis and generate the prescription for the assessed diagnosis.

Facilitates patient to generate the work notes

Patient can find the pharmacy with cheepest medicine prices, local pharmacies etc.

Imaging Systems for Aesthetics and Dermatology. Works in the field of aesthetics and early skin cancer detection, using imaging procedures. Business focus is on the development, image management, archiving, and sale of systems for digital aesthetics, dermatoscopy, and body mapping procedures. We are developing a cloud based solution to integrate new features into the desktop-based medical imaging (SAAS) platform. The application is presently designed to view images and analyse them thereby aiding in the detection of a wide array of dermatological pathologies. Desktop based application is getting migrated to a cloud-based architecture to provide uniform access from various platforms like Macintosh, Microsoft, iPad, and mobile devices.  We also utilize our AI-ML skills in improving image analysis, interoperability, reliance on non-cloud apps, integration of various in-house hardware devices, etc. all factors that will be accommodated while optimizing overall application performance. 

An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.

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.

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.