The Platform project aims to revolutionize the way patients and doctors connect for immediate consultations. Implementing first-in, first-out (FIFO) approach, the platform prioritizes patients based on the order of their requests, reducing wait times and enhancing patient satisfaction. Patients can provide detailed information about their symptoms, upload relevant images, and specify the type and duration of consultation they need, empowering doctors to make accurate diagnoses and treatment recommendations during video consultations. The platform ensures seamless and secure interactions, allowing patients to rejoin the queue if they accidentally close their browser. It also simplifies the prescription process with a secure payment gateway and facilitates the delivery of prescriptions. 

The Platform project aims to enhance accessibility to healthcare services, optimize patient-doctor interactions, and elevate the overall quality of care. By leveraging technology and incorporating innovative features, the platform strives to provide a seamless experience for patients and doctors alike. With its focus on efficient queue management, comprehensive patient information, secure interactions, and simplified prescription processes, the Platform aims to revolutionize the way healthcare consultations are conducted, improving access to care and facilitating better healthcare outcomes.

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.

It is a Peer-to-Peer Marketplace designed to streamline direct transactions between buyers and sellers, eliminating the need for intermediaries. The platform specializes in high-end men's fashion, focusing on luxury streetwear and vintage pieces that cater to discerning tastes.

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.

Prospective property buyers often face delays in identifying suitable suburbs and properties, limited visibility into where they stand in the buying journey, and fragmented coordination between buyer's agents, support teams, and external parties such as conveyancers and inspectors. The client required enhancements to streamline client onboarding, automate workflow tracking across the buying process, and improve real-time communication across all stakeholders.
smartData enhanced the existing Milk Chocolate Property platform by optimizing the client and agent-facing Own™ portal with automated notifications, improved Game Plan™ workflows, AI-assisted suburb and property matching, and upgraded UX for registration, recommendations, and milestone tracking from exchange through settlement. The solution introduces structured client preference reuse, simplified onboarding, intelligent agent assignment tracking, and AI-assisted decision support to help clients evaluate suburb and property recommendations.
As a result, the platform improves operational efficiency, reduces lead-to-purchase turnaround time, enhances client engagement through proactive communication, and establishes a scalable foundation for future AI-driven property personalization and automated transaction coordination.

An AI-powered Quality Assurance (QA) tool developed to enhance the customer support experience by automatically analysing customer-agent conversations( both actual human agents as well as agentic bots too). It identifies policy violations, customer sentiment, and agent performance insights in real-time. Platform integrates with CRMs and uses machine learning (ML) and natural language processing (NLP) to offer actionable insights for businesses seeking to improve service quality and operational efficiency. This will help organisations to streamline support analysis, improve agent training, and monitor customer satisfaction metrics.