Build automated ETL (Extract-Transform-Load) pipelines for construction data. Process PDFs, Excel, BIM exports. Generate reports, dashboards, and integrate with other systems. Orchestrate with Airflow or n8n.

Automated safety compliance verification for construction sites. Check PPE usage, zone access, working at heights regulations, and generate compliance reports using rule-based and ML approaches.

Aggregate and analyze risks across construction project portfolio. Identify correlated risks, systemic exposures, and portfolio-level risk mitigation strategies.

Track material orders, deliveries, and inventory on construction sites. Monitor lead times, delivery status, and stock levels.

Access and utilize open construction pricing databases. Match BIM elements to standardized work items, calculate costs using public unit price databases with 55,000+ work items.

Automate construction permit tracking and management. Monitor application status, track renewal deadlines, manage document requirements, and integrate with municipal systems.

Generate Quantity Take-Off (QTO) reports from BIM/CAD data. Extract volumes, areas, counts by category. Group elements, apply calculation rules, and create cost estimates automatically.

Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.

Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.

Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases.

Optimize construction site logistics including material delivery scheduling, crane positioning, storage area allocation, and traffic flow using operations research and simulation.

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

Analyze construction labor productivity using data analytics. Track worker performance, identify inefficiencies, predict resource needs, and optimize crew allocation for maximum efficiency.

Apply price escalation to CWICR estimates over time. Calculate inflation adjustments, material price indices, and labor rate increases.

Complete RFI (Request for Information) management system. Create, track, route, and analyze RFIs with automatic notifications and response deadline tracking.

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

Calculate and track CO2 emissions and carbon footprint for construction projects.

Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.