datadrivenconstruction

Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.

Excel/spreadsheet processing for construction: estimates, schedules, tracking logs, quantity takeoffs. Formulas, formatting, analysis.

Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.

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

Analyze weather data impact on construction schedules. Predict weather delays, optimize work scheduling based on forecasts, and calculate weather-related risk factors for project planning.

Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.

Track and manage construction warranties. Monitor expiration dates, claims, and manufacturer documentation.

Convert voice recordings to structured construction reports. Field workers speak, AI transcribes and formats. Supports daily reports, safety observations, progress updates.

Comprehensive verification system for construction automation deliverables. Use after completing estimates, schedules, reports, or data processing tasks to ensure quality.

Implement semantic vector search for construction data. Build AI-powered search using embeddings and vector databases (Qdrant, ChromaDB) for intelligent querying of specifications, standards, and project documents.

Build validation rules for construction data. Create RegEx and logic-based validation for BIM elements, cost codes, and schedule data.

Manage construction unit price databases: update prices, track vendors, apply location factors, maintain historical records. Essential for accurate estimating.

Assess company readiness for construction industry uberization. Analyze data transparency, process automation, and competitive positioning against open data platforms.

Generate safety toolbox talks for construction crews. Create contextual safety briefings based on weather, work activities, and recent incidents. Support multiple languages.

Build Telegram bots for construction field workers. Real-time reporting, photo uploads, task assignments, progress tracking. Integrate with n8n for automated workflows.

Track construction submittals through the review process. Manage approvals, revisions, and compliance.

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

Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.

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

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

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

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

Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.

Semantic search in the DDC CWICR construction cost database using vector embeddings (BGE-M3, 1024-dim, per-language Qdrant collections). Find similar work items and resources for cost estimation across 8 national bases and 30 markets in 26 languages.

Security review checklist for construction software systems. Use when building integrations, APIs, data pipelines, or dashboards for construction projects.

JSON/data schema validation for construction data exchange: API payloads, file imports, BIM exports. Ensure data structure compliance before processing.

Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.

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

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

Compress construction schedules using crashing and fast-tracking techniques. Analyze cost-time tradeoffs and find optimal acceleration strategies.

What-if analysis for construction projects: model different scenarios and their cost/schedule/resource impacts. Compare alternatives and optimize decisions.

Digital safety inspection checklists for construction sites. Generate, conduct, and track safety inspections with automated reporting and compliance monitoring.

Digital safety inspection system for construction sites. Checklists, hazard tracking, incident reporting, and compliance documentation.

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.

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

Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.

Apply machine learning for construction project risk assessment. Predict schedule delays, cost overruns, and safety incidents using historical data and project characteristics.

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

Track construction retainage/retention amounts. Monitor held amounts by subcontractor, track release conditions, and manage retainage billing.

Optimize shared resource pools across multiple construction projects. Balance resource allocation, minimize conflicts, and maximize utilization across the portfolio.

Level and optimize construction resource allocation across project schedule. Balance labor, equipment usage, and avoid overallocation while maintaining critical path.

Optimize construction resource allocation across activities. Level resources, resolve over-allocations, and balance workload while minimizing schedule impact.

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

Construction quality control workflow automation. Manage QC inspections, track defects, generate NCRs, and ensure specification compliance throughout the project.

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.

Digital punch list management for construction project closeout. Track deficiencies, assign corrections, photo documentation, and completion verification.

Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.

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

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

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

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

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

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

Optimize prefabrication and modular construction workflows. Plan module sequencing, factory scheduling, transportation logistics, and on-site assembly for maximum efficiency.

Forecast project outcomes using historical data: cost overruns, schedule delays, risk probabilities. Machine learning models for construction prediction.

PowerPoint generation for construction: project updates, stakeholder presentations, progress reports, bid presentations. Automated slide creation with charts and data.

Multi-project portfolio analytics dashboard. Aggregate KPIs across projects, track portfolio health, compare performance, and support executive decision-making.

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

Extract structured data from construction PDFs. Convert specifications, BOMs, schedules, and reports from PDF to Excel/CSV/JSON. Use OCR for scanned documents and pdfplumber for native PDFs.

Automatically generate PDF reports from construction data. Create formatted project reports with charts and tables.

PDF processing for construction documents: RFIs, submittals, specifications, drawing packages. Extract data, merge packages, fill forms.

Process construction payment applications. Validate schedule of values, calculate retainage, track billing status, and generate G702/G703 forms.

Generate AIA-style payment applications. Track schedule of values, calculate retention, and produce payment documentation.

Convert construction data to/from Parquet format. Optimize storage, enable fast queries, and integrate with data lakehouses.

Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.

Integrate open construction datasets. Combine open data sources for enhanced analysis

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.

Map construction data to standard ontologies. Create semantic mappings between different data schemas

Use the OpenConstructionERP validation engine: rule packs (BOQ quality, DIN 276, NRM, GAEB, MasterFormat, DPGF) that check estimates at import time and on demand. Use when verifying BOQ correctness or writing custom validation rules.

Tendering and reporting in OpenConstructionERP: prepare tender BOQs, compare bids, manage risks, and generate reports (weekly, monthly, closeout). Use when a project goes to tender or needs reporting.

4D scheduling and 5D cost modelling in OpenConstructionERP: build task schedules, link tasks to BIM elements and BOQ lines, roll up the cost model over time, and export Gantt/sequence views. Use for schedule-cost integration workflows.

Property development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover. Use for residential/commercial development projects.

Guide to OpenConstructionERP: architecture, modules, API surface and quick start. Use when starting any OpenConstructionERP work, onboarding a user to the platform, or deciding which module/endpoint to use.

Connect OpenConstructionERP to AI coding assistants via MCP (Model Context Protocol): expose costs, BOQ, BIM and catalog endpoints as MCP tools so Claude Code / Antigravity / OpenCode can drive the platform. Use when wiring an assistant to the ERP.

Load national and market cost bases into OpenConstructionERP: the 8 national bases (Turkey Birim Fiyat, China Dinge, Brazil SINAPI, Spain BCCA, Italy Prezzario Toscana, Greece GGDE, Vietnam Dinh Muc, Indonesia AHSP), the 30 global markets, and 48 PPP market catalogs per base. Use when importing a cost database, repricing into a market, or troubleshooting a load.

Portfolio mapping and model coordination in OpenConstructionERP: the 3D geo hub (Cesium), the coordination hub with clash AI, and geo-anchored projects. Use for multi-project portfolio views and BIM clash workflows.

Field operations in OpenConstructionERP: punch list, daily diary, HSE observations and task tracking on site. Use when automating construction site workflows (deficiencies, diaries, safety, site tasks).

Create bills of quantities and estimates in OpenConstructionERP: search cost items, build BOQ sections, link BIM elements in bulk, validate the BOQ, and export GAEB/XLSX/JSON. Use for any estimating workflow on the platform.

Browse and search the OpenConstructionERP cost database: classification tree, SQL and semantic search, autocomplete, certainty badges, and the resource catalog. Use when a user wants to explore cost data without building a BOQ yet.

CAD/BIM takeoff in OpenConstructionERP: upload Revit/IFC/DWG/DGN models, browse elements, bulk-link them to BOQ lines, measure DWG drawings and PDF plans, and push quantities into the estimate. Use for any model-based quantification workflow.

Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.

Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.

Create n8n workflow for daily task assignment from PTO engineer to foreman via Telegram bot with status reporting.

Build a complete project management system with Telegram bot, task distribution, and photo reports using n8n. Based on DDC Project Management repository.

Automate construction photo report generation using n8n with AI-powered image analysis.

Automate daily construction report generation using n8n workflow automation.

Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.

Build multi-agent AI systems for construction estimation. Use CrewAI/LangGraph to orchestrate specialized agents: QTO agent, pricing agent, validation agent. Automate complex estimation workflows.

Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.

Build ML models for construction predictions. Train and evaluate custom models for cost, duration, and risk prediction.

Generate structured construction meeting minutes. Track action items, decisions, and attendees.

IoT-based material tracking for construction sites. Monitor material delivery, storage conditions, usage, and inventory with sensors, RFID, GPS, and real-time dashboards.

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

Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs.

Material passports and circular construction: generate per-element material inventories from BOQ/BIM, mark reuse potential and recycled content, and prepare deconstruction data. Use for circular-economy and EU Taxonomy-aligned projects.

Track material deliveries, manage inventory, and coordinate logistics. Monitor delivery schedules and site storage.

Generate rolling look-ahead schedules for construction. Create 2-week, 3-week, or 6-week look-aheads with constraint analysis and crew coordination.

Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.

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.

Calculate embodied carbon and lifecycle emissions for construction materials and projects. Support sustainable design decisions with carbon data.

Track and manage construction lien waivers. Monitor conditional and unconditional waivers, ensure compliance before payments, and prevent lien exposure.

Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition.

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

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

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

Build KPI dashboards for construction projects. Track CPI, SPI, quality, safety metrics in real-time.

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

Analyze data interoperability issues in construction projects. Identify format incompatibilities and data loss points.

Validate construction data inputs before processing: cost estimates, schedules, BIM data, field reports. Catch errors early with domain-specific rules.

Construction safety incident reporting and analysis. Capture incidents, conduct investigations, track corrective actions, and analyze trends for prevention.

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

Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.

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

Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.

Check BIM data against IDS (Information Delivery Specification). Validate model information requirements and compliance.

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

Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns.

Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback. Use when exploring early design options with AI.

Generate Gantt charts for construction scheduling. Create visual project timelines with dependencies and progress tracking.

Curated few-shot examples for construction AI tasks: classification, extraction, analysis. Domain-specific examples for improved LLM performance.

Import Excel data into RVT projects. Update element parameters, create schedules, and sync external data sources.

Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.

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.

Build construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead.

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

Extract and analyze data from construction ERP systems. Pull project data for analytics, reporting, and integration.

Integrate and analyze telematics data from heavy construction equipment. Track location, utilization, fuel consumption, maintenance needs, and operator behavior.

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

Monitor environmental conditions on construction sites. Track air quality, noise levels, vibration, dust, and weather to ensure compliance and worker safety.

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

Building energy simulation and analysis for construction. Calculate heating/cooling loads, evaluate envelope performance, optimize HVAC sizing, and ensure energy code compliance.

Estimate embodied carbon and produce ESG/climate reporting for construction: LCA per work item, material-based carbon factors, EU taxonomy and CSRD alignment. Use when a project needs carbon estimates or sustainability reporting.

Email generation for construction workflows: RFI responses, submittal transmittals, meeting notices, change order notifications. Professional templates with context-aware content.

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

Predict project duration using k-NN and regression. Estimate timeline based on similar historical projects.

Process drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

Word document generation for construction: contracts, proposals, reports, specifications, transmittals. Template-based with dynamic content insertion.

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

Synchronize construction digital twins with real-time data. Connect BIM models with IoT sensors, progress updates, and field data for live project visualization and monitoring.

Assess organization's digital transformation readiness. Evaluate data culture, technology adoption, and process maturity.

Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.

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

Analyze construction schedule delays for claims and recovery. Perform time impact analysis, identify delay causes, calculate damages, and document for disputes.

AI-powered construction defect detection using computer vision. Identify cracks, spalling, corrosion, and other defects in concrete, steel, and building components from images and video.

Provide data-driven decision support for construction. Analyze multiple factors and recommend optimal project decisions.

Create visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.

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

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

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

Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thresholds, and reporting.

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

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

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

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

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

Automatically generate daily construction reports from field data, worker inputs, weather, and progress photos. Creates professional PDF reports.

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

Break down CWICR work items into component resources. Decompose aggregate items, analyze resource composition, and generate detailed bills of resources.

Calculate material waste factors and losses using CWICR norms. Apply waste percentages, cutting losses, and spillage factors to material quantities.

Perform value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.

Convert between construction measurement units. Handle metric/imperial conversion, area/volume calculations, and unit normalization for CWICR data.

Assist with quantity takeoff using CWICR data. Calculate quantities from dimensions, apply waste factors, and suggest related work items.

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

Integrate CWICR cost data with project schedules. Link work items to schedule activities, generate cost-loaded schedules, and cash flow projections.

Calculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.

Analyze construction resources (labor, materials, equipment) from DDC CWICR database. Calculate resource requirements, productivity metrics, and optimization recommendations.

Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.

Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.

Match BIM quantities to CWICR work items. Map element categories to cost codes, validate quantities, and generate cost-linked QTOs.

Track actual vs planned productivity using CWICR norms. Calculate productivity rates, identify variances, and generate performance reports.

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

Work with CWICR database across 26 languages. Cross-language matching, translation, and regional pricing.

Find substitute materials using CWICR data. Identify equivalent alternatives based on function, cost, and availability.

Generate material procurement lists from CWICR data. Calculate quantities with waste factors, group by supplier categories, and create purchase orders.

Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.

Schedule labor crews based on CWICR norms and project timeline. Calculate crew sizes, shifts, and labor loading curves.

Track and analyze historical cost data using CWICR. Compare actual vs estimated costs, build project cost database, and improve future estimates.

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

Plan equipment requirements using CWICR norms. Calculate equipment hours, scheduling, utilization rates, and rental vs purchase analysis.

Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.

Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.

Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.

Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.

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

Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.

Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.

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

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

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

Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.

Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.

AI-powered contractor matching and selection for construction projects. Analyze contractor capabilities, past performance, certifications, and project requirements to recommend optimal matches.

Extract and analyze key clauses from construction contracts. Identify payment terms, change order procedures, dispute resolution, warranties, and risk allocation provisions.

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

Automatically extract patterns, best practices, and reusable knowledge from construction automation sessions to improve future performance.

Track regulatory compliance for construction projects. Monitor permits, certifications, inspections, and regulatory requirements with automated alerts and reporting.

Calculate carbon footprint of construction projects. Estimate CO2 emissions from materials, transportation, and construction processes using emission factors databases.

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

Analyze BIM clash detection results and suggest resolutions. Prioritize clashes, identify patterns, assign responsibility, and track resolution status.

Detect and analyze geometric clashes between BIM elements. Identify hard clashes, soft clashes, and workflow conflicts using spatial analysis and rule-based detection.

Document construction claims for disputes and recovery. Compile evidence, calculate damages, track notice requirements, and prepare claim packages.

Process and manage construction change orders. Track costs, approvals, and impact on schedule and budget.

Manage construction change orders from request to approval. Track costs, schedule impacts, and maintain audit trail for dispute prevention.

Analyze and predict construction change orders using ML. Classify change order types, predict costs and schedule impacts, identify patterns, and optimize approval workflows.

Forecast construction project cash flow. Project income and expenses, identify funding gaps, and optimize payment timing for improved financial management.

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

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

Plan organizational capacity for construction projects. Forecast resource needs, identify capacity gaps, and support strategic planning for project pursuit and staffing.

Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files.

Analyze budget vs actual cost variances. Identify overruns, forecast final costs, and generate variance reports.

Automate BIM workflows using visual programming and Python. Create parametric schedules, export data, batch modify elements, and integrate with external data sources.

Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.

Build automated BIM validation pipelines for IFC/Revit data. Continuous validation against IDS, LOD requirements, COBie, and project-specific BEP standards.

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

Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.

Automated cost estimation from BIM models using DDC CWICR database (8 national bases, 78,228 positions). AI classification + vector search for accurate pricing.

Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.

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

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

Analyze large-scale construction datasets. Process thousands of projects for patterns, benchmarks, and predictive insights.

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

Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.

Automatically generate estimates from QTO data. Apply pricing rules to BIM quantities for cost estimates.

Track as-built documentation and record drawings. Monitor submission status, manage revisions, and ensure completeness for handover.

Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.

Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.

Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.

Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.

Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.

Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.