The Data Layer For
Residential Dev.
Real construction data. Real market data. Real outcomes.
Accessible via API, database, or bulk export.
Most market data is backward-looking (last year's trends).
Ours is forward-looking (what's happening now, what does it mean for next month).
Built from 5+ years of real projects, real supply chains and real market transactions. It runs the group's companies first, and reaches government and research partners through collaboration.
{"status": "success","timestamp": "2026-06-13T05:15:00Z","data": {"material_id": "ST-992-BEAM","name": "Structural Steel Beam 200UB","region": "SYDNEY_METRO","pricing": {"current_avg_aud": 2450.00,"unit": "TONNE","30_day_trend": "+2.4%","forecast_90_day": "STABLE","confidence_score": 0.98},"supply_chain": {"avg_lead_time_days": 18,"delay_risk_index": "LOW","active_suppliers": 4},"empirical_data": {"live_projects_tracked": 12,"last_transaction": "2026-06-12T17:40:00Z"}}}What Data Enables.
Empirical data ends guessing. Explore how different stakeholders leverage our metrics to eliminate risks.
Site Selection & Risk
Data Typically Needed
- •Comparable projects in this market (timelines, costs, outcomes)
- •Supply and demand (will market absorb this project?)
- •Feasibility (will planning approve this?)
- •Risk factors (what's typical here? what went wrong last time?)
DDDI Empirical Solution
- ✓500+ comparable projects (similar size, location, typology)
- ✓Historical feasibility scores for this suburb suburb-wide
- ✓Supply pipeline (what is competing with this site?)
- ✓Risk patterns (delays, costs, safety in this market)
Site selection is data-driven, not gut-feel. Risk is visible. Decision is made in 1 week instead of 3 months.
What's Available.
Select databases built for direct ingestion, featuring complete coverage, fast delivery pipelines, and robust schemas.
Coverage figures describe the industry datasets, not the group’s own project count.
Market Intelligence
Median rent, sale price, price growth %, rental growth %, sales volume, days-on-market, buyer/renter profile
Supply Chain Data
Material price index, lead time, availability, substitution options, shipping cost, regional variations
Project Outcome Data
Final timeline, final cost, unit cost, feasibility score vs. actual outcome, labour productivity, safety incidents, defect rates
OSINT Feed
Application type, status, timeline, conditions, approvals
Digital Twin Spatial Data
3D building models, street networks, amenities, population heatmaps, walkability scores
All Datasets Include
Complete variable definitions, metadata structures, and validation schema rules for engineers.
Rigorous verification pipelines ensuring all records are checked, validated, and bias-analysed.
Minimum 5-year historical trends available across all categories for deep time-series analysis.
High-throughput, sub-second API querying and event-driven webhooks for direct platform ingestion.
Dedicated phone, email, and engineering contacts for enterprise custom pipelines.
Clear rate cards, transparent volume usage policies, and absolutely zero surprise overages.
Not A Data Storefront.
DDDI doesn’t sell datasets off the shelf. These foundations run the group’s own projects first, and reach others through the company that maintains them and through research partnership.
Built by Cyberate Technologies
The datasets are built, maintained and served by Cyberate Technologies — the group’s data and software company — and used across DDDI’s companies every day.
See the company →Delivered inside an engagement
Where a builder, developer or investor needs this data on a project, it comes through a Cyberate Project Management engagement, with scope and fees agreed up front.
How engagements work →Shared through partnership
Government agencies and universities work with the underlying data through collaboration and research partnership, not a subscription.
Partner with us →Work With The Data Layer.
Bring a project or a research question. We’ll tell you what the data can and can’t do.