Public data is not static information; it is a high-velocity intelligence stream. We treat the planning scheme as code to be parsed, not just a document to be read.
Our research focuses on Machine Reading Comprehension to bridge the gap between static government gazettes and actionable investment signals.
Researching LLM-based architectures to instantly extract setbacks, height limits, and overshadowing constraints from diverse Council LEPs.
nlp.extract(pdf_url, labels=['FSR', 'HeightLimit', 'Zoning'])Analysing non-traditional data—social sentiment and news cycles—to identify 'Emerging Suburbs' before they appear in lagging reports.
sentiment_score > 0.85 && mention_vol_delta > 20%Utilising public DA registries to visualize competitor pipelines, construction timelines, and supply-chain patterns.
SELECT builder_id, COUNT(da_no) FROM nsw_registry WHERE year=2025Leverage computational intelligence to uncover hidden regulatory shifts.
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