datadrivenconstruction

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

Convert RVT files to IFC format. Support IFC2x3, IFC4, IFC4.3 with customizable export settings.

Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.

Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.

Works with the CWICR database across 9 languages, providing cross-language matching, translation, and regional pricing.

Forecast project cash flow based on schedule and cost data. Generate S-curves and payment projections.

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

Imports Excel data into RVT projects. Updates element parameters, creates schedules, and syncs external data sources.

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

Build cost assemblies from CWICR work items. Combine multiple items into reusable templates for common construction elements.

Processes construction change orders using CWICR data. Calculates cost impact, compares to original estimate, and generates change order documentation.

Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.

Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.

Generates material procurement lists from CWICR data, calculating quantities with waste factors, grouping by supplier categories, and creating purchase orders.

Apply overhead, profit, and markup to CWICR estimates. Calculate indirect costs, general conditions, and contractor margins.

Analyze and compare subcontractor bids against CWICR benchmarks. Evaluate pricing, identify outliers, and support negotiation.

Analyze construction contract clauses. Identify risks, obligations, and key terms using NLP.

Analyze project critical path from schedule data. Identify critical activities, calculate float, and assess schedule risk.

Compare and analyze contractor bids. Score proposals, identify scope gaps, and recommend selections.

Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies.

Create 4D construction simulations by linking BIM models with project schedules.

Detect and map data silos in construction organizations. Identify disconnected data sources and integration opportunities

Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.

Analyze ERP system integration for construction data flows. Map and optimize data flows between ERP modules

Handle CSV files from construction software exports. Auto-detect delimiters, encodings, and clean messy data.

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

Prequalify subcontractors based on safety, financial, and performance criteria.

Manage project closeout activities. Track completion of documentation, warranties, and final inspections.

Manage construction equipment fleet. Track utilization, maintenance, and assignments.

Allocate and track labor resources across project activities. Balance workload, track attendance, and optimize crew assignments.

Analyze labor productivity by trade, activity, and location. Track efficiency and identify improvement opportunities.

Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.

Link schedule activities to cost items. Create cost-loaded schedules, generate cash flow curves, and track earned value.

Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems

Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.

Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.

Build SQL queries for construction databases. Generate optimized SQL queries for construction data retrieval

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

Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.

Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

Analyze schedule delays, identify causes, and calculate time impacts using delay analysis methods.

Calculate embodied carbon in construction materials. Track CO2 emissions, compare alternatives, and generate sustainability reports.

Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.

Extract structured data from construction specifications. Parse CSI sections, requirements, submittals, and product data from spec documents.

Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database structures.

Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.

Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.

Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.