Projects

A graph-based prototype connecting projects, risks, schedule events, cost categories, and model explanations into an explorable knowledge network.

A monitoring dashboard for retrained machine-learning models, tracking performance, feature drift, and threshold stability over time.

An NLP prototype that maps safety observations into standardized risk categories to support trend analysis and preventative action.

A risk-banding tool that estimates potential labor overrun exposure using predicted productivity, peer-group benchmarks, and percentile-based loss ranges.

A forecasting prototype that predicts final productivity outcomes from evolving schedule signals such as ramp deviation, peak labor shifts, baseline execution, and critical-path volatility.

A benchmarking project that studies how staff ratios, project duration, subcontractor mix, and market segment affect indirect cost reliability.

A synthetic construction analytics project that forecasts project risk using leading indicators, historical trends, and threshold-based classification.

An interactive analysis of how schedule instability, scope growth, critical-path changes, and labor ramp shifts relate to project outcomes.

A job-level scoring framework that combines inspection coverage, high-risk observations, workforce spread, and critical activity controls into a single risk score.