The research program building
Australia's housing intelligence.
Ten research domains. Five Clusters. One mission — to turn Australian residential development into something that can be measured, modelled, and understood.
FHIP spans property data, planning intelligence, building vision, materials, carbon, energy, development opportunity, digital twins, spatial computing, and foundation models. Together, they form the intelligence infrastructure for the next decade of housing.
Research, honestly staged.
Not every domain is a product. We stage our research in three levels — so you always know what's ready today and what's on the horizon.
Applied
In active use across the group and with partners today to optimise real-world property decisions.
In Development
Active research streams, modelling prototype architectures and building toward core platform features.
Exploratory
Early-stage concept exploration and hypothesis mapping for next-generation residential requirements.
"A serious research company shows its roadmap — not just its shipped products."
Ten domains, one infrastructure.
Property Big Data Intelligence
Market, price, buyer behaviour, feasibility, and risk — the data foundation.
Open-source Housing Intelligence (OSINT)
Planning, development applications, supply, competitors, and government signals.
Housing Fabric Intelligence
Computer vision that reads facades, roofs, windows, styles, systems, and defects.
Residential Material Intelligence
Classifying, segmenting, and forecasting the materials inside Australian housing.
Residential Carbon Intelligence
Embodied, operational, retrofit, and demolition carbon — and the circular economy.
Housing Energy Intelligence
How apartments actually use energy — comfort, occupancy, and performance gaps.
Development Opportunity Intelligence
Subdivision, redevelopment, renovation, medium density, and pipeline forecasting.
Residential Digital Twin
Property-to-city scale digital models for planning, design, and investment.
Spatial Computing (VR/AR)
VR design review, AR construction support, and immersive planning consultation.
Housing Foundation Models
The Australian housing dataset, vision and multimodal models, and HousingGPT.
The Five Research Clusters.
Click to expand each research cluster to see the questions answered, the data sources used, and the commercial outputs generated.
What it answers
- Development feasibility — does this project stack up financially today?
- Risk Intelligence — what planning or utility issues could go wrong before they do?
- Subdivision potential — finding the optimised yield (e.g. turning 4 lots into 6)
- Market & Price Dynamics — where demand is moving and what price points are supported
Who uses it
- Developers (site selection, feasibility, yield)
- Investors (market entry, risk profiling)
- Government (housing supply pipeline tracking)
Data Sources
- Proprietary housing transaction databases
- Open Council Planning & DA records
- Macro economic and demographic indicators
- Spatial zoning constraints
Output Products
What it answers
- Facade, Roof & Window Recognition — scanning building styles from imagery
- Material Classification & Segmentation — locating material instances on site
- Material Stock Mapping — calculating the stored volume of materials in a suburb
- Defect Recognition — identifying structural issues at early stages
Who uses it
- Builders & Estimators (procurement planning, material volume)
- Researchers (circular economy mapping)
- Asset Managers (style classification, defects)
Data Sources
- Street level photography & spatial captures
- Architectural drawings & specifications
- Material life-cycle registers
Output Products
What it answers
- Embodied Carbon mapping — carbon embedded in construction materials
- Operational Carbon — post-handover energy and emissions footprint
- Energy Performance Gap — matching design energy models against real occupancy data
- Circular Economy — calculating carbon offset from reuse over demolish
Who uses it
- Sustainability Teams (ESG metrics, carbon scoring)
- Investors (green investment requirements)
- Government (policy analysis, targets)
Data Sources
- Lifecycle assessment (LCA) material carbon databases
- Sub-metered smart home energy sensors
- Occupant comfort feedback surveys
Output Products
What it answers
- VR Design Review — walking through designs at full scale
- AR Construction Support — overlaying blueprints directly onto structural works
- Community Planning VR — immersive visualisation for public DA consultations
Who uses it
- Planners & Government (dialogue, approvals)
- Designers & Architects (spatial context review)
- Sales Teams (buyer off-plan previews)
Data Sources
- 3D digital suburb models
- Unreal/Unity engine render assets
- Site drone telemetry data
Output Products
What it answers
- Australian Housing Dataset (AHD) — compiling structured datasets
- HousingGPT — a multimodal housing model in research, grounded in Australian planning rules
- City-Scale Digital Twin — property-to-city interactive maps
Who uses it
- PropTech Startups (building downstream tools)
- Enterprise Teams (custom model training)
- Data Analysts (bulk API downloads)
Data Sources
- FHIP proprietary structured housing dataset
- Knowledge graphs mapping DA guidelines
- High-fidelity 3D suburb maps
Output Products
Strategic flow and sequencing.
We sequence research by maturity and impact. Open data and big data feed the intelligence core. Vision reads the building fabric. Fabric informs materials; materials inform carbon; carbon meets energy. Development intelligence turns it into opportunity.
This structured pipeline ensures nothing remains theoretical. Outputs from early stages directly feed into downstream systems, culminating in Digital Twins and multi-modal Foundation Models.
Phase 1: OSINT & Big Data
- → Demand forecasting
- → Supply analysis
- → Price & affordability
Primary: Gov & Policy
Phase 2: First-Party Data
- → Site feasibility
- → Construction cost intel
- → Embodied carbon
Primary: Developers
Phase 3: Spatial & Vision
- → Digital twin environments
- → CV site analysis
- → Spatial equity metrics
Primary: Planners & Architects
Phase 4: Foundation Models
- → HousingGPT
- → Knowledge graph
- → Fine-tuned CV models
Primary: Startups & Enterprise
Domain → Product → Buyer Mapping
How raw research converts into actionable commercial products for specific industry segments.
| Research Domain | What It Becomes (Product) | Primary Buyer | Use Case Question |
|---|---|---|---|
| Demand Forecasting | Market feasibility reports + Market API | Developers / Investors / Gov | ""Which markets will grow? Where should I build?"" |
| Supply Analysis | Supply outlook dashboard + API | Government / Policy makers | ""Is there enough housing being built?"" |
| Price & Affordability | Affordability analysis reports + datasets | Government / NGOs / Researchers | ""Can working families afford this?"" |
| Development Opportunity | Opportunity intelligence API | Developers / Site scouts | ""Which sites are about to be hotspots?"" |
| Site Feasibility | Feasibility score reports | Developers / Investors | ""Can I build here? How long? How much?"" |
| Construction Cost | Cost estimation tools + supplier APIs | Builders / Developers | ""What will materials + labour cost?"" |
| Property Condition | Condition analysis + renovation ROI tools | Investors / Asset managers | ""What's the improvement opportunity?"" |
| Embodied Carbon | Carbon research (exploratory) | Developers / ESG / Capital | ""What's the climate impact?"" |
| Operational Carbon | Energy modelling + performance tracking | Property managers / Operators | ""How efficient is this building?"" |
| Site Analysis (CV) | Computer vision tools + analysis dashboard | Planners / Designers / Investors | ""What are the constraints and opportunities?"" |
| Digital Twin | VR/AR suburb models + visualisation API | Planners / Designers / Community | ""How will this fit? What does it look like?"" |
| Spatial Equity | Walk-ability, diversity, amenity scores | Urban planners / Policy | ""Is this neighbourhood equitable?"" |
| Housing Dataset | Raw dataset (CSV, API, bulk downloads) | Data teams / Researchers | ""Build custom analysis on top"" |
| Foundation Models | HousingGPT + vision models + knowledge graph | Startups / Enterprises / Researchers | ""Fine-tune for our use case"" |
A research program that already ships.
FHIP isn't a wish list. Its applied domains already power real products — feasibility analysis, automated approval-drawing checking, and development optimisation — in daily use across the group and its clients.
3
Research Papers
Internationally accepted and peer-reviewed property AI publications.
2025
AUBEA Award
Recognised with the 2025 AUBEA Best Paper Award.
Active
Uni Partnerships
Active research partnerships with Australian universities, spanning computer vision and housing data science.
"We earn the right to talk about tomorrow by shipping today."
Explore Cluster details.
Market & Development
Feasibility, risk, subdivision opportunity, and competitor OSINT signals.
Fabric & Material
Computer vision models parsing building facades, styles, and raw material distributions.
Carbon & Energy
Embodied/operational carbon tracking and real-world apartment energy performance analysis.
Spatial Computing
Immersive design reviews and AR-based structural site assessments.