Aged care intelligence, built in Australia

Decisions in aged care are worth millions. Most are made without the numbers.

The Ageing Equation builds the intelligence that closes that gap. Eight years of continuous, sector-wide observation, explainable prediction models, and software that shows its working, so that every answer can be defended to a board, a regulator, or a family.

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2,802residential aged care facilities covered, nationally

2021building machine learning for aged care since then, in production from 2022

AU & USpatent applications filed for the prediction methodology

4independent articles in the sector's most read publication

What we do

Two ways the same models reach a decision.

Platform

Care Equation

Our aged care intelligence platform, launched in 2026. Pricing predictions, financial benchmarks, compliance and workforce data across every residential aged care facility in Australia, plus home care pricing. Used by provider executives and strategy teams.

careiq.au

Advisory

Applied analysis

Portfolio pricing reviews, accommodation and home care pricing strategy, viability analysis, and market assessment for specific sites and regions. The same models, applied to one organisation's question, with the reasoning handed over rather than withheld.

How the work is built

Four rules, and none of them are negotiable.

Prediction, not opinion

Pricing and market predictions come from our own machine learning models, developed continuously since 2021 and in production since 2022. Patent applications were filed in Australia and the United States in November 2024.
Explainable by construction

The models are built so that the reason for an answer can be read off the answer. Nothing is a black box we ask you to trust. An estimate a board cannot interrogate is an estimate a board cannot use.
Grounded in what is actually filed

Every figure traces to a source. Where the data is thin, we say so. Where a number cannot be traced, we decline to give one rather than fill the gap with a guess.
Australian, and onshore

An Australian company, analysing Australian data, with the analysis performed here.

In our software, artificial intelligence explains the numbers. It is never the source of them.

Predictions are computed by our own validated models. The language layer retrieves figures through read-only queries over governed data and reports the model's measured error rate to the person reading it. An advisor that quotes its own error bars is an advisor a board can trust.

Safdar Ali is the founder and managing director. A decade in aged care finance, a graduate of the Harvard Business Analytics Program, and the person who builds and operates the platform rather than commissioning it. The company has reached production without outside capital.

Track record

Eight years in one sector, in the open.

2017The Ageing Equation Pty Ltd incorporated in Australia.
2021Machine learning development for aged care begins, well before the current wave of interest in it.
2022First predictive pricing model released, and independently covered by Australian Ageing Agenda.
2024Patent applications filed in Australia and the United States for the prediction methodology.
2025Work acknowledged in writing by the Department of Health and Aged Care, Contributions and Accommodation Reform Branch.
2026Care Equation platform launched. Independent coverage by Australian Ageing Agenda now across four milestones in four years.

Applied to New South Wales alone, the methodology identified material mispricing in roughly two in five of 2,000 accommodation prices analysed. Client work is confidential and no provider is named on this page.

Tell me what decision you are weighing.

Whether you are a provider facing a pricing or investment call, a government or peak body that needs the market measured, or a journalist working on the sector, write to me directly.

safdar@ageingequation.com.au