NEWS

Q3 Technologies has partnered with a Perth-based play therapy and early intervention practice to design and develop an AI-enabled platform that strengthens emotional safety and care quality in early childhood environments. The engagement focuses on building a secure, insight-driven system that helps daycare providers better understand daily activity within care rooms, using ethical and non-intrusive observation to assess interaction quality, caregiver responsiveness, and signs of child distress. The solution combines computer vision, Large Language Models, and secure cloud infrastructure to process activity at defined intervals, identify meaningful behavioural signals, and aggregate them into structured patterns and time-based summaries. A human-in-the-loop framework keeps educators and administrators at the centre of every interpretation, supported by a dashboard that surfaces room activity, event timelines, and key moments requiring attention. This collaboration reinforces Q3 Technologies' growing footprint in the Australian market and its expertise in applying responsible, human-centred AI to sensitive, high-trust care environments.

Q3 Technologies will build a payment integration engagement platform for a leading franchise management software company in the United States, connecting its Microsoft-based Franchise Management System with Stripe to automate royalty collection and payment processing. The solution manages payment initiation, transaction tracking, refunds, controlled retries, and reconciliation through Stripe APIs and webhooks, while keeping sensitive cardholder data within Stripe's PCI-compliant infrastructure. Payment reconciliation between SharePoint and Stripe is fully automated, and a QuickBooks integration keeps customer and payment records in sync after each transaction. Built on SharePoint Online, Power Automate, Azure Functions, and the Stripe and QuickBooks APIs, the project strengthens Q3 Technologies' track record in enterprise-grade payment infrastructure and workflow automation.

Q3 Technologies is developing a warehouse automation platform for one of India's largest flat steel suppliers. Digitizing dispatch, transit, receiving, and unloading activities that were previously managed through manual processes. The engagement began with an assessment of existing warehouse and transportation workflows to define solution scope and business requirements. The resulting platform centralizes these processes into a single system, minimizes repetitive data entry by passing information automatically between stages, and gives operations teams a straightforward interface for daily use. Integration with Microsoft Dynamics 365 Business Central transfers verified coil and truck data for invoicing and downstream processes.

We have secured a strategic AI engineering engagement with the artificial intelligence innovation arm of one of India's largest diversified enterprise groups. The project focuses on designing and developing enterprise-grade GenAI and Large Language Model (LLM)-powered backend systems to enable intelligent automation across multiple business functions. Leveraging technologies such as Python, FastAPI, RAG pipelines, vector databases, LangChain, LangGraph, Google ADK, Gemini Enterprise, and Databricks Genie, the solution will support advanced AI use cases, including predictive maintenance, energy optimization, and logistics automation. This engagement shows our expertise in building secure, scalable, and future-ready AI platforms that help enterprises accelerate digital transformation, improve operational efficiency, and deliver greater business value through intelligent automation.

Q3 Technologies partnered with India's leading infrastructure conglomerate to modernize its legacy Lotus Notes environment and improve long-term access to critical business data. The engagement involves migrating data from 46 NSF databases into a structured RDBMS while preserving documents, metadata, audit trails, and record relationships. It includes end-to-end data assessment, extraction, transformation, validation, and reconciliation, along with the development of a secure web-based read-only application for archived records. The solution also implements role-based access, traceability, and a scalable architecture to support compliance, governance, and operational continuity, reinforcing Q3 Technologies' expertise in legacy modernization and enterprise data migration.

Q3 Technologies has partnered with a leading UK-based fleet and mobility software provider to strengthen and modernize its automated regression testing capabilities. The engagement focuses on improving automation reliability, expanding regression coverage, and integrating automated testing into continuous delivery pipelines to support faster and more efficient software releases. The solution includes a comprehensive assessment of the existing automation framework, stabilization of automated execution environments, CI/CD integration, automated reporting, and development of additional regression test coverage using TestComplete and Python. Q3 also established automation standards, operational documentation, troubleshooting guides, and knowledge transfer programs to enhance long-term automation maturity and team capabilities. This initiative further demonstrates Q3 Technologies’ growing global footprint and expertise in delivering scalable, enterprise-grade test automation solutions that improve software quality, accelerate delivery cycles, and support continuous innovation across complex digital platforms.

Q3 Technologies has collaborated with one of Albania’s leading companies in the electrical materials, electronic equipment, and photovoltaic solutions sector to design and implement a SharePoint Online–based Intranet Portal and Document Management System (DMS). The engagement focuses on building a centralized digital workplace that streamlines internal communication, enhances document governance, and improves employee collaboration through secure and scalable enterprise workflows. The solution includes role-based access control, Azure Active Directory–based SSO authentication, department-wise document repositories, workflow-driven leave and travel request management, project workspace administration, and automated notifications. Designed to support operational efficiency and future scalability, the platform also enables advanced document versioning, metadata-driven search, approval workflows, and centralized content management. This initiative further reinforces Q3 Technologies’ expertise in delivering enterprise-grade SharePoint solutions, digital workplace transformation, and scalable document management systems tailored to evolving business needs.

Q3 Technologies has collaborated with one of India’s leading television audience measurement organisations to provide AMC and SLA-driven support services for its SharePoint Online–based P2P procurement platform integrated with Microsoft Dynamics 365 Business Central. The engagement focuses on ensuring application stability, seamless workflow continuity, structured issue resolution, and controlled enhancements through a formal change request framework. Designed to support secure and scalable procurement operations, the solution enables efficient vendor management, uninterrupted approval workflows, and optimized system performance through reliable 8×5 support and ongoing maintenance. This initiative further reinforces Q3 Technologies’ expertise in managing enterprise-grade digital applications, delivering scalable support services, and driving operational efficiency through robust Microsoft-based solutions.

Q3 Technologies has partnered with a leading U.S.-based healthcare startup focused on cancer drug trials to revolutionize clinical documentation through an AI-powered Protocol Report Generation Platform. The solution harnesses advanced, domain-specific AI models to automate end-to-end workflows — from document ingestion and intelligent data extraction to accurate protocol report generation. By replacing time-intensive manual processes, the platform introduces multi-agent validation frameworks, standardized templates, and Human-in-the-Loop review mechanisms to ensure precision, traceability, and regulatory compliance. This collaboration reinforces Q3 Technologies’ strength in delivering AI-led healthcare innovations — enabling clinical teams to reduce administrative burden and dedicate more time to improving patient outcomes.

Q3 Technologies has collaborated with an Australian bid and tender consultancy to modernize tender response and bid management processes through an AI-powered SaaS platform under a flexible staff augmentation model. The engagement focuses on developing a centralized, secure, and scalable platform that streamlines document ingestion, requirement extraction, compliance matrix generation, and automated bid drafting. Designed to enhance response accuracy, improve operational efficiency, and enable seamless integration with Azure AI services, the solution transforms manual tender workflows into an intelligent, data-driven system. This initiative further strengthens Q3 Technologies’ footprint in the professional services sector, advancing AI-led digital transformation through secure, multi-tenant SaaS innovation.