Construction & Real Estate
AI that cuts cost overruns and schedule delays with full project auditability and zero data leakage
You get AI agents for project scheduling, cost estimation, BIM analytics, site safety monitoring, property valuation, and defect detection. They run on your cloud, connect to your existing project management and BIM systems, and produce reports your stakeholders can verify.
Built on your AWS, Azure or GCP tenant. SOC 2 compliant. Stakeholder-ready.
Proof of concept
To measurable ROI
AWS, Azure or GCP
Construction productivity has flatlined for decades. AI is the first lever that actually moves it.
Your projects consistently run over budget and behind schedule. The industry average is 80 percent of projects exceeding their original cost estimate. Meanwhile, site safety incidents remain stubbornly high, skilled labour is harder to find, and margins are thinner than they were ten years ago.
We build AI agents that predict schedule delays before they happen, automate cost estimation, monitor site safety in real time, and turn BIM data into actionable project intelligence with audit trails your project sponsors, investors, and regulators can verify.
reduction in project costs through AI-enabled planning and estimation (McKinsey Global Institute, 2024)
annual global construction productivity gap that AI and digital tools can close (McKinsey, 2024)
of large construction projects exceed their original budget and schedule (BCG, 2024)
reduction in safety incidents through AI-powered site monitoring and predictive analytics (Deloitte Insights)
From BIM model to project decision, in one workflow
We connect your BIM systems, project management tools, cost databases, and IoT sensors to AI agents that forecast schedules, estimate costs, detect safety hazards, and produce the project intelligence your stakeholders require.
BIM models, schedules, cost systems, IoT sensors
- Approval gates
- Human-in-loop
- Audit logging
AWS, Azure or GCP
- Schedule forecasts
- Cost reports
- Safety dashboards
What we deliver for construction and real estate firms
From project scheduling to property valuation, governed, auditable, enterprise-ready
AI-powered project scheduling
Forecast schedule risks and predict delays before they hit.
ROI
Process
Ingest project data
Historical schedules, weather data, resource availability, and dependency networks extracted from project management systems
Model delay risk
AI identifies patterns in historical delays — weather, subcontractor performance, permitting bottlenecks — and scores current tasks by risk
Deliver forecasts
Probabilistic schedule forecasts and early-warning alerts delivered to project managers with recommended mitigations
Sources
Based on published findings: McKinsey Global Institute, 'Reinventing Construction', 2024; BCG, 'Digital in Construction' — reproduced for illustrative purposes
Predictive cost estimation
Estimate costs from historical data with higher accuracy.
ROI
Process
Aggregate cost history
Completed project costs, material prices, labour rates, and change order data consolidated from your financial systems
Train estimation models
ML models learn cost drivers specific to your project types, regions, and delivery methods
Generate estimates
AI-generated cost estimates with confidence intervals and risk-adjusted contingencies delivered at each project phase
Sources
Based on published findings: McKinsey, 'AI in Construction Cost Management', 2024; Deloitte Insights, 'Predictive Construction Analytics' — reproduced for illustrative purposes
BIM analytics and clash detection
Detect BIM clashes and constructability issues before site work.
ROI
Process
Parse BIM models
IFC and Revit files ingested and decomposed into structural, MEP, and architectural elements with spatial relationships
Run AI analysis
Machine learning detects clashes, quantifies materials, and flags constructability risks against best-practice rules
Surface findings
Prioritised clash reports, material take-offs, and design recommendations delivered to project teams with 3D visualisations
Sources
Based on published findings: McKinsey, 'BIM and AI Integration', 2024; BCG, 'Digital Construction Technology' — reproduced for illustrative purposes
Site safety monitoring
Detect PPE violations and hazards on site in real time.
ROI
Process
Deploy sensors
CCTV cameras and IoT sensors connected to your cloud, streaming site conditions, worker positions, and equipment status
Detect hazards
Computer vision models identify PPE violations, exclusion zone breaches, and unsafe equipment operations in real time
Alert and report
Immediate alerts to site supervisors plus trend reports for safety managers showing incident patterns and high-risk zones
Sources
Based on published findings: Deloitte Insights, 'AI for Construction Safety', 2024; McKinsey, 'Technology in Construction Safety' — reproduced for illustrative purposes
Property valuation models
Value properties faster using market data and ML models.
ROI
Process
Aggregate market data
Transaction records, rental yields, vacancy rates, demographic data, and location attributes consolidated from multiple sources
Train valuation models
ML models learn value drivers by property type, location, and market conditions, calibrated to your portfolio
Deliver valuations
Automated valuations with confidence ranges, comparable evidence, and sensitivity analysis for investment committees
Sources
Based on published findings: BCG, 'AI in Real Estate', 2024; Gartner, 'Technology Trends in Commercial Real Estate' — reproduced for illustrative purposes
Defect detection and quality control
Inspect work against specs and auto-generate snagging lists.
ROI
Process
Capture site imagery
Drone footage, 360-degree cameras, and mobile device photos captured systematically across project areas
AI inspection
Computer vision models compare as-built conditions to design specifications, identifying cracks, misalignments, and finish defects
Generate snagging lists
Geolocated defect reports with severity ratings and photographic evidence delivered to site teams and subcontractors
Sources
Based on published findings: McKinsey, 'AI Quality Control in Construction', 2024; Deloitte Insights, 'Computer Vision on Construction Sites' — reproduced for illustrative purposes
Portfolio and asset management
Forecast yields, vacancy risk, and capex across your portfolio.
ROI
Process
Consolidate asset data
Lease records, maintenance histories, operating costs, and market benchmarks aggregated from property management systems
Forecast performance
ML models predict rental growth, vacancy risk, and maintenance requirements at the asset and portfolio level
Recommend actions
Investment hold/sell recommendations, capex prioritisation, and lease strategy insights delivered to asset managers
Sources
Based on published findings: BCG, 'AI-Driven Real Estate Investment', 2024; Gartner, 'PropTech and AI Analytics' — reproduced for illustrative purposes
CEO, Turner Construction
Peter Davoren
"We are applying machine learning to historical project data spanning thousands of builds to predict schedule risks before they materialise. The models surface delay patterns that even experienced project managers miss, and we are seeing measurable reductions in cost overruns on our largest programmes."
Originally published: Turner Construction — Project Experience — reproduced for illustrative purposes
How we work in construction and real estate environments
Construction AI is only valuable if it integrates with the systems your project teams already use and produces outputs your stakeholders trust. We start by mapping your existing project data flows, identifying the one workflow where AI will save the most time or money, and building it with full auditability from day one.
Everything we build runs on your cloud tenant. Your project data, your BIM models, your cost databases. None of it leaves your environment. Your information security team and clients can audit the system directly.
01
Data and workflow mapping
We assess your project management systems, BIM platforms, cost databases, and IoT infrastructure, identify the highest-value automation opportunity, and map it to your project governance requirements.
02
30-day proof of concept
A working AI agent on your cloud, connected to your project data, with demonstrable output in 30 days.
03
Governance by design
Audit trails, decision documentation, and explainable outputs built in from the start. Structured for stakeholder review and regulatory inspection.
04
Scale in 12-18 weeks
From one validated project workflow to measurable efficiency gains across your scheduling, estimation, safety, or portfolio management operations.
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