Question 1

Is PropertyLens a licensed valuation service?

Accepted Answer

No. PropertyLens is an AI-powered research and analysis tool, not a licensed valuation service. Our predictions are estimates based on publicly available data and AI analysis. They should not be used as a substitute for a formal property valuation by a certified valuer, nor as financial advice. Always consult qualified professionals before making property decisions.

Question 2

Where does the data come from?

Accepted Answer

All our data is sourced from publicly available datasets and official APIs. This includes historical sales data from Domain.com.au and PropTrack, demographic data from the Australian Bureau of Statistics Census, planning overlay data from Brisbane City Council's Open Data portal, economic indicators from the Reserve Bank of Australia, and development application data from Planning Alerts. We do not use any proprietary or private data sources.

Question 3

How accurate are the property price predictions?

Accepted Answer

Property price predictions are inherently uncertain — no model can perfectly predict what a buyer will pay. Our system tracks prediction accuracy against actual sale prices, and we publish these metrics transparently. Predictions include confidence scores and price ranges to reflect uncertainty. Typical accuracy varies by suburb and property type, and we cap confidence scores at 85% for houses and 80% for units to reflect real-world limitations.

Question 4

What suburbs does the predictor cover?

Accepted Answer

We currently cover 33 inner Brisbane suburbs across four zones — West (Paddington, Auchenflower, Toowong, Milton, etc.), North (Newstead, Teneriffe, New Farm, Fortitude Valley, etc.), South (West End, Woolloongabba, Kangaroo Point, Annerley, etc.), and East (Hawthorne, Bulimba, Balmoral, Norman Park, etc.). Coverage is focused on areas with sufficient comparable sales data to produce meaningful predictions.

Question 5

How does the AI component work?

Accepted Answer

We use Claude by Anthropic, a leading safety-focused AI model, to analyse property descriptions, comparable sales data, feature adjustments, and suburb context. The AI provides qualitative analysis including predicted price, reasoning, market sentiment, value drivers, and risk factors. The AI prediction is blended with statistical analysis (comparable sales and feature engineering) to produce the final estimate — it does not operate in isolation.

Question 6

Can I use this for construction cost planning?

Accepted Answer

Our construction cost estimation provides indicative costs for common Brisbane renovation scenarios — raise and build under, second storey additions, and basement conversions. Costs are based on industry rate databases adjusted for inflation using ABS Producer Price Index data. These estimates are starting points for budgeting, not fixed quotes. Actual costs will vary based on site conditions, builder selection, material choices, and council requirements. Always obtain multiple quotes from licensed builders.

Question 7

What planning constraints does the system check?

Accepted Answer

We check Brisbane City Plan 2014 overlays including Traditional Building Character, Heritage (local and state), Flood Overlay (including property-level flood depth data), Landslide Hazard, and Biodiversity overlays. We also monitor Development Application activity through Planning Alerts. These constraints significantly affect what you can build and the approval pathway required.

Question 8

Is my data private?

Accepted Answer

We analyse publicly available property data — we do not collect, store, or sell personal information. Property analysis is based on public listing data, public sales records, and public planning data. Our platform does not require user accounts or personal data to function.

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