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.

This system will be used to provide home care to disable patients and provides a fast, easy-of-use, robust solution for the care providers and patient shifts management.

The National Disability Insurance Agency (NDIA) is an independent statutory agency and its role is to implement the National Disability Insurance Scheme (NDIS), which will support a better life for hundreds of thousands of Australians with a significant and permanent disability and their families and carers. NDIS provides grants to disabled patients to take home-care services which help to improve their lives.

We developed this system for the Home care service providers who provide daycare providers to NDIS-approved patients.

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. 

An AI-powered outbound engagement platform that automates voice calls, follow-ups, and data syncing for recruitment agencies, service providers, and customer support teams. It integrates seamlessly with CRMs, calendars, and telephony systems to handle high-volume call campaigns using intelligent voice agents. The system uses natural voice synthesis, sentiment detection, and real-time syncing to streamline outreach, reduce manual workload, and increase engagement.

Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.