Inner Brisbane Service

Predict Brisbane Property Prices with AI

Combining publicly available data with advanced AI to deliver transparent property price predictions, construction cost estimates, and market intelligence for inner Brisbane suburbs.

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10,000+ Projects
2+ Years Experience
AI-Powered Analysis
Public Data Sources
33
Suburbs Covered
10,000+
Data Points Analysed
3-Layer
AI Prediction Engine
100%
Public Data Sources
AI-Powered AnalysisPublic Data SourcesOpen & Transparent

How It Works

How Our Prediction Engine Works

1

Data Collection

We aggregate publicly available data from multiple sources: historical sales records, ABS Census demographics, Brisbane City Council planning overlays, RBA economic indicators, and Domain/PropTrack listing data. All data is sourced through official APIs and public datasets.

2

Comparable Sales Analysis

Our engine identifies recently sold properties within similar parameters — bedrooms, bathrooms, land size, property type, and proximity. Each comparable is weighted by similarity and recency using exponential decay, with adjustments for land size differences.

3

Feature Engineering

Property-specific features are analysed including renovation quality, pool presence, views, flood zone impact, heritage overlays, and market conditions like RBA cash rate and auction clearance rates. Each feature applies a calibrated adjustment to the base estimate.

4

AI Analysis

Claude AI reviews the property description, comparable data, feature adjustments, and suburb context to produce a prediction with reasoning, market sentiment assessment, value drivers, and risk factors. The AI adds qualitative insight that pure statistical models miss.

5

Blended Prediction

The three layers are combined using calibrated weights — typically 50% comparable sales, 20% feature engineering, and 30% AI analysis — to produce a final estimate with confidence scoring and price range. Confidence is capped to reflect inherent prediction uncertainty.

6

Continuous Validation

Predictions are tracked against actual sale prices to measure accuracy over time. This feedback loop informs weight calibration and model improvements, with accuracy metrics published transparently on the platform.

What We Offer

Prediction & Analysis Tools

Six integrated modules powered by public data and AI. Click any feature to explore in detail.

📊

Property Price Prediction

Our three-layer prediction engine combines comparable sales analysis, feature-based adjustments, and Claude AI assessment to estimate property values with confidence scoring and price ranges for inner Brisbane suburbs.

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🏗️

Construction Cost Estimation

Detailed cost estimates for raise-and-build, second storey additions, and basement conversions with granular breakdowns covering excavation, structural work, fitout, wet areas, and professional fees.

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📋

Planning & Constraints Analysis

Automated analysis of Brisbane City Plan 2014 overlays including heritage, flood risk, traditional building character, landslide hazard, and biodiversity constraints that affect what you can build.

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📈

Market Intelligence

Track suburb-level market trends, auction clearance rates, days on market, supply and demand ratios, and zone-level median prices across inner Brisbane with data updated regularly.

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💰

Build ROI & Scenario Analysis

Compare renovation and construction scenarios side-by-side with end-value estimates, ROI calculations including stamp duty, holding costs, and selling fees to find the highest-value approach.

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🔍

Property Intelligence & Scoring

AI-powered renovation quality scoring, deep property research reports, and feature premium/discount calculations to understand what drives value in each specific property.

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Transparent Property Intelligence, Powered by Public Data & AI

PropertyLens is a research and analysis tool that uses publicly available data — including council records, ABS census data, historical sales, and planning overlays — combined with AI to generate property price estimates, construction cost projections, and market insights. This is not financial advice. All predictions are estimates based on available data and should be used as one input alongside professional valuations, building inspections, and qualified financial advice.

Important: PropertyLens is an AI-powered research tool, not a licensed valuation service or financial advisor. All predictions are estimates based on publicly available data and should be used alongside — not instead of — professional property valuations, building inspections, and qualified financial advice.

Start Exploring Brisbane Property Data

Transparent, AI-powered property intelligence using publicly available data. Free to use, no account required.

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FAQ

Frequently Asked Questions

Find answers to common questions about our services.

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.
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.
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.
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.
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.
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.
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.
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.