Building Twin Lab

When a hurricane, earthquake or wildfire threatens a neighborhood, people want to know: Is my home ready, and what should I check first? They usually have an address, not engineering drawings. Building Twin Lab turns that starting point into an editable building twin with a traceable record of what is known, assumed and still missing. Enter an address, confirm a mapped building, and review public aerial imagery and licensed ground photographs. Meta Muse Spark extracts visible features from the images and proposes alternative hidden construction configurations from the available evidence. Users can inspect disagreements between views, explore a measured wind-reference pressure distribution, and get source-linked next steps such as gathering roof-connection records or checking potential ember-entry details. A downloadable report preserves the observations, assumptions, sources and model-run history. The working prototype combines real Meta image analysis, human review and deterministic engineering calculations. The demo replays genuine recorded Meta runs. Wind results come from a documented wind-tunnel reference, not a validated prediction for the selected address. Wildfire support is qualitative evidence and preparedness guidance; earthquake numerical analysis is planned. The goal is to make uncertainty useful and help people ask better questions before making decisions about their homes.