A continuously learning World-Model of resort territories. The infrastructure layer for AI-native decision making in the physical world.
Territories behave like complex living systems. Traditional tools show where objects are. Dashboards show what happened. TIL understands how the territory behaves. We capture thousands of signals to reveal the hidden signatures of value.
Not a database. A world-model. TIL continuously ingests signals across geography, infrastructure, mobility, and sentiment to build a structured territorial dataset.
A dynamic scoring engine that reflects attractiveness, demand intensity, and competitive pressure. It doesn't describe the past. It detects what moves next.
[ PROPRIETARY DATA MOAT ]
TIL Model predicts shifts in value and risk.
The agent acts on signals (Buy/Sell/Build).
Real outcomes (ROI, Absorption) return to model.
Model learns. Next prediction is sharper.
Full digital twin construction. GRID Index calibration. Agentic loop initiation via WEGC Fund.
Signals, routes, prediction layers available for external AI agents and developers.
Bali → Dubai → Global Unified World Model.
Zero-Circle investors are not just early backers. They are co-creators of the world-model. Your capital powers the data infrastructure that AI will rely on.
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