Applied Artificial Intelligence for Education, Health, and Human Wellbeing
Privacy first artificial intelligence systems delivered across six interconnected domains, developed by AI Shield Pty Ltd and commercialised in research and development partnership with The Australian United.
A Research and Development Partnership Between Two Independent Australian Entities
The work presented under this domain is delivered through a formal research and development partnership between two independent Australian entities. Each entity operates under its own corporate registration and retains full autonomy over its respective operational mandate.
AI Shield Pty Ltd (ABN 23 671 628 854) is an independent Australian software development company founded by Dr. Laith Ghunmat (Doctor of Philosophy in Artificial Intelligence Algorithms, University of Technology Sydney, 2016). The company is registered as an International Research Centre under the identifier IRCC AUS 2015 and is the sole developer of the ShieldBallie 1 platform.
The Australian United, trading as AI Care, is an independent Australian investment company headquartered at Floor 1, Building 9, King Hussein Business Park, Amman, Jordan. The company provides commercialisation, investment, and global market access for Australian deep technology innovation.
The two entities collaborate under a research and development partnership agreement that preserves the technical independence of AI Shield Pty Ltd whilst providing the commercial platform and capital required for international deployment across global care sectors.
Privacy by Design
Biometric inference executed exclusively on device. Data minimisation principles applied across all platform components.
Emotion Recognition
Machine learning models that recognise and respond to human emotional states across educational and therapeutic settings.
Research Led Innovation
The IRCC AUS 2015 designation underpins applied research and development conducted in conjunction with academic institutions in both jurisdictions.
Bilateral Operations
Operational footprint spanning Sydney and Amman, supported by engineering, research, and commercialisation teams across both locations.
Six Pillars of Intelligent Care
Six interconnected domains in which the partnership applies artificial intelligence to advance human wellbeing, safety, and operational efficiency.
Education AI
Intelligent platforms that personalise curricula and automate assessment, with continuous engagement insight for educators across early learning, primary, and secondary contexts.
Emotional Intelligence
Machine learning models for the recognition and contextual response to human emotional states, applicable across educational and therapeutic settings.
Health AI
Clinical decision support systems, intelligent diagnostic assistance, and rehabilitation technology platforms developed under regulatory pathways aligned with the Therapeutic Goods Administration.
Early Childhood Education and Care
Artificial intelligence systems for the early identification of behavioural indicators, developmental milestone tracking, and continuous regulatory compliance under the National Quality Framework.
Three Dimensional High Definition Medical Imaging
Next generation three dimensional imaging systems advancing diagnostic precision and enabling earlier detection across a range of clinical pathologies.
Sport Science AI
Performance analytics and biomechanical analysis platforms, anchored by the research collaboration with the Faculty of Sport Sciences at the University of Jordan.
ShieldBallie 1 Compliance Demonstration
A spherical autonomous robotics platform for continuous Early Childhood Education and Care compliance monitoring. The illustrative scenarios below depict the platform’s detection logic across three representative operational states.
Representative Compliance Savings Profile
The figures below illustrate modelled annual financial impact for a representative service profile of five centres, twelve educators per centre, and an annual compliance cost of forty five thousand Australian dollars per centre. Figures are derived from the Monte Carlo simulation documented in the Industry Growth Program Commercialisation submission.
Projected Annual Impact
AI Powered Compliance and Learning
Comprehensive coverage of all seven National Quality Standard Quality Areas and all five Early Years Learning Framework Outcomes, supported by privacy preserving observation tooling and on device facial recognition.
National Quality Standard Quality Areas
Educational Programme and Practice
Curriculum based on approved learning frameworks. Documented planning cycle. Intentional teaching practice supported by automated documentation.
Children’s Health and Safety
Health practices, safe environments, supervision continuity, incident recording, and management of medical conditions, all monitored continuously by ShieldBallie 1.
Physical Environment
Design, furniture, equipment, sustainability practice, and outdoor and indoor learning environments evaluated against current standards.
Staffing Arrangements
Educator to child ratios, qualified staff verification, professional development tracking, and staff interaction monitoring.
Relationships with Children
Responsive relationships, dignity and rights protection, and behaviour guidance facilitated through positive interactions and continuous wellbeing assessment.
Collaborative Partnerships
Family engagement, community partnerships, access and participation provisions, and cultural competence development.
Governance and Leadership
Service philosophy implementation, management systems, role definitions, and continuous improvement frameworks.
Early Years Learning Framework Outcomes
Identity
Children develop a strong sense of identity. Indicators include feeling safe, secure, and supported; building attachment; sense of belonging; self awareness; and emerging autonomy.
Community
Children become connected with and contribute to their world. Indicators include respect for diversity, responsible citizenship, environmental care, and group participation.
Wellbeing
Children have a strong sense of wellbeing. Indicators include physical health, emotional resilience, and increasing responsibility for own health and physical wellbeing.
Learning
Children become confident and involved learners. Indicators include curiosity, creativity, enthusiasm, persistence, imagination, and capacity for reflective thinking.
Communication
Children become effective communicators. Indicators include verbal and non verbal communication, literacy, numeracy, digital technology fluency, and creative expression.
Specimen Child Observation
The specimen below demonstrates the structured observation output produced by the platform from a free play indoor context. All identifying biometric data is processed on device and represented externally only by an irreversible identifier hash.
Observation: Sustained interest in block construction over a thirty seven minute interval. Collaboration with a peer to construct a tall structure. Demonstration of persistence after a structural collapse, with reconstruction undertaken using a different load bearing strategy.
Developmental Milestones Identified: Fine motor coordination achieved. Spatial reasoning emerging. Cooperative play achieved.
Learning Dispositions Observed: Persistence, problem solving, collaborative inquiry, creativity.
EYLF Outcome Linkage: Outcome 4 (Learning) primary; Outcome 2 (Community) secondary.
Recommended Next Steps: Introduce additional construction materials with greater complexity. Provide opportunities for collaborative documentation of building process. Extend learning through symmetry and balance investigation.
Privacy Preserving Facial Recognition Pipeline
The four stage pipeline describes the privacy architecture by which children are identified for observation linkage. No raw biometric data is retained at any stage. The operational consequence is full alignment with the Australian Privacy Act 1988 and the Australian Privacy Principles.
Regulatory Compliance Summary
Australian Privacy Act 1988. Biometric data is classified as sensitive information. The platform stores no biometric data, retaining only irreversible cryptographic hashes.
National Quality Standard 2.2.1. Supervision requirements satisfied through continuous artificial intelligence monitoring with immediate educator alerting.
Education and Care Services National Law. Full compliance with documentation, assessment, and planning requirements under sections 168 and 323.
Australia and Jordan
A bilateral research, development, and commercialisation footprint connecting Australian deep technology innovation with regional headquarters in the Hashemite Kingdom of Jordan.
Australia
Australian incorporated entities. Software development, research, and Industry Growth Program Commercialisation engagement conducted under the AI Shield Pty Ltd corporate registration.
Jordan
Regional headquarters of The Australian United, the investment and commercialisation partner. Strategic research collaboration anchored by the partnership with the University of Jordan and its Faculty of Sport Sciences.
Engage With the Partnership
Educational service providers, healthcare institutions, research organisations, Industry Growth Program advisory contacts, and institutional investors are invited to initiate engagement via the canonical address below.
AI Care 