AgeTech & Aged Care

Is Your AI Ready for Real-World Care?

Move from AI pilots and procurement to evidence-backed deployment and continuous assurance.

CognitiveView helps aged-care providers, health systems and AgeTech vendors assess AI for safety, fairness, usability, reliability and governance, before deployment and throughout the AI lifecycle.

A smiling older woman with a caregiver using a tablet in an aged-care setting

Safer Care

Better Outcomes

Trusted Adoption

AI for healthier, safer, more independent lives

  • Safer AIReduce risk and prevent harm
  • Better EvidenceReal-world validation
  • Confident DeploymentSupport care teams
  • Continuous AssuranceMonitor and adapt

Who We Support

Practical tools and guidance for the entire AgeTech ecosystem.

  • An older adult receiving support from a caregiver

    Aged Care Providers

    Assess, procure and deploy trustworthy AI in real-world care.

    Learn more
  • Professionals reviewing technology together

    AgeTech Vendors

    Build and demonstrate AI readiness to buyers.

    Learn more
  • Health professionals reviewing patient data

    Health Systems & ACOs

    Evaluate AI solutions and strengthen procurement decisions.

    Learn more
  • A caregiver helping an older adult with a tablet

    Caregivers & Families

    Understand how AI can support care and independence.

    Learn more
  • A group of professionals meeting around a conference table

    Researchers & Policymakers

    Advance evidence, equity and responsible innovation.

    Learn more

The AgeTech AI Assurance Journey

From use case to real-world impact, a structured approach to trustworthy AI.

  1. 01

    Define

    Clarify use case, users, population and care environment.

  2. 02

    Classify

    Assess potential impact and determine risk tier.

  3. 03

    Test

    Evaluate safety, fairness, usability and reliability.

  4. 04

    Validate

    Confirm performance in real-world care environments.

  5. 05

    Assure

    Build evidence for deployment decisions.

  6. 06

    Monitor

    Track performance, manage risks and continuously improve.

Where AI Is Being Used in Aged Care

Real-world use cases across clinical, care and operational settings.

  • Fall Detection
  • Remote Health Monitoring
  • Medication Support
  • Cognitive Screening
  • AI Care Assistants
  • Smart-Home Monitoring
  • Care Planning & Coordination
  • Workforce & Operations
Explore all use cases

Why AI Readiness Matters

Strong model performance is not enough for real-world deployment.

AI Pilot

  • Model performance
  • Technical testing
  • Initial validation

The Real-World Gap

  • Population fit
  • Workflow integration
  • Safety & reliability
  • Human oversight
  • Privacy & security
  • Accountability

Deployment Decision

  • Evidence
  • Governance
  • Authorization
  • Monitoring
The question is not only "Does the AI work?" but "Is there enough evidence to trust and deploy it?"

Featured Resources

Guides, templates and tools to support AI assurance in aged care.

  • GUIDE

    AgeTech AI Use Case Best Practice Guide

    Practical guidance for developers and implementers.

    Download Guide
  • FRAMEWORK

    AgeTech AI Testing & Evaluation Framework

    42 metrics across the AI lifecycle.

    Download Framework
  • CHECKLIST

    AI Developer & Vendor Readiness Checklist

    Key questions for procurement readiness.

    Download Checklist
  • TEMPLATE

    AgeTech AI Applied Model Card

    Document your AI system and supporting evidence.

    Download Template

Get Started

Start Your AI Readiness Journey

Move from pilot to deployment with confidence.

An older adult and caregiver using a tablet in an aged-care setting