Tight project deadlines, material supply volatility, and strict safety regulations are reshaping construction. Spreadsheet-based estimates, manual blueprint takeoffs, and paperwork silos create substantial operational overhead.
50%
reduction in structural floor design times
2x
increase in overall design & production output
$700
average material cost savings per residential home
HSE
and CDM health & safety regulations compliant
Firms resolving these bottlenecks with custom machine learning are winning more bids-not because they are cheaper, but because their back office compiles technical proposals on demand.
01
Estimators spend hours sizing materials, calculating load distributions, and preparing bids. Manual scoping causes proposal delays that cost contracts before construction starts.
02
Unpredictable material costs, supply chain fluctuations, and manual takeoff errors silently erode contract margins. Real-time pricing reconciliation is essential to keep projects profitable.
03
Shortages of experienced structural designers and architects slow down pre-construction cycles. Firms must automate routine drafting to let engineers focus on complex problems.
Four proven applications where custom machine learning models automate manual tasks and accelerate structural output.
Pricing construction projects is a complex manual task that requires expertise across a multitude of variables. Machine learning automates and simplifies bill of quantities estimation.
Accelerated proposal turnaround times
Minised human error in project cost estimation
Deploy bespoke IoT controls and telemetry analysis to automate building control, monitoring structures and machinery proactively to detect site issues.
Automation of control systems with continuous telemetry learning
Proactive identification of structural and equipment faults
Apply genetic programming algorithms to automate structural floor and truss designs, freeing architectural staff from repetitive calculation.
Faster, automated design cycles and enhanced production outputs
Optimal structural framing layouts with minimal construction waste
SaaS platforms utilizing satellite imagery, historical zoning laws, and land registries to automatically pinpoint potential areas of development.
Increased profitability and strategic competitive advantage
Proactive geographic risk mitigation and yield analysis
Reduced
Operational & overhead costs
Maximised
Designer & factory efficiency
Minimised
Material waste and total construction cost
Pricing construction projects is a complex task. Estimators must size materials, calculate structural profiles, and check subcontractors. ML models ingest historic bids, blueprints, and current day rates to generate precise estimates in minutes.
Timber Sizing — estimate joists and studs from structural spans
Material Takeoffs — quantify materials instantly to minimise purchasing waste
Day-Rate Calibration — apply consistent subcontractor pricing standards
Margin Protection — benchmarks for project size and location variables
Faster turnaround times with reduced human error in overall construction cost estimation.
before
3 days
with cortex
2 hours
Structural timber sizing
draftedSlab reinforcement BOQ
draftedEquipment delivery pricing
draftedSubcontractor rates
reviewstatus: first draft ready · deployed in your cloud
genetic layout generation · 5 options
Load path trace analysis
Structural feasibility checks
Timber volume sizing
Framing layout optimization
Itemized material list
experts edit, not assemble · ~15hrs saved per report
Free your engineering technicians from repetitive CAD drafting. Genetic programming algorithms generate optimal floor, stair, and truss layouts, tracing load paths automatically to protect margins while meeting strict CDM standards.
Load Path Tracing — automatically size members based on active floor loads
CAD Integration — produce structural design options directly for manufacture
Material Efficiency — generate layouts that optimise timber and joist cuts
Design Bottlenecks — reduce lead-times and pre-construction engineering hours
Optimal designs completed in minutes, maximizing overall subcontractor and factory productivity.
Bespoke controls and telemetry algorithms monitor machinery, concrete curing slabs, and structural sensors proactively, triggering automated safety checklists before issues disrupt building schedules.
Machinery Telemetry — track concrete mixers and heavy equipment health
Proactive Safety — sensor arrays flag perimeter breaches and site hazards
Slab Curing Diagnostics — monitor moisture and concrete strength parameters
CDM Compliance — keep strict safety logs fully integrated with your operations
Shift site operations from reactive troubleshooting to systematic, proactive risk mitigation.
active telemetry · HSE · CDM compliance
Machinery temperature spike
Concrete mixer 3 · scheduled diagnostic
Site boundary breach
Sensor 8 · perimeter safety checklist triggered
Concrete curing sensor
Optimal strength reached on slab B
Residential development score
from registry & satellite modelsSatellite land-use trace
94% confidence
Land registry validation
cleared
Zoning & risk match
low hazard
Estimated site yield
calculated
consistent across every partner · no more 30% variance
Pinpoint development areas using geographic data sources on autopilot. AI crawls satellite images and registries to trace exact land usage, identifying strategic hotspots for residential or commercial expansion.
Satellite Image Traces — evaluate current land usage across specified regions
Land Registry Match — cross-reference ownership, title boundaries, and history
Zoning & Hazard Mapping — flag environmental constraints and municipal zones
Yield Estimation — predict structural densities and estimated layout gains
Gain a distinct competitive advantage through data-driven pricing and geographic yield accuracy.
See how a European manufacturing leader automated structural framing layouts with genetic programming.
Reduced design time by 50%
Doubled productivity
$700 cost saving per house
Payback within 1 year
Client: Staircraft Group, one of the biggest timber stair and floor manufacturers in Europe.
After expanding their offer to include timber floor production, the client realised how inefficient the process of producing a structural floor design is and difficulties hiring good designers. It can take a designer 3+ hours to produce a structural design of a single timber floor. The technical director at Staircraft decided to commission AI experts at Brainpool to automate the process of designing timber I-joist floors using Artificial intelligence.
Cutting edge AI technology has been used by a team of PhD-level researchers from Brainpool Ltd to create a fully functioning automated AI software tool which designs and produces framing layouts for I-joist floors without the need for design technicians. The technology is based on the principles of genetic programming, applying the latest research in this area. Based on priorities set by the user, the tool can produce framing layouts aim to either minimise material costs, maximise factory production speed or are the simplest to install on the job site. It presents manufacturers with the opportunity to reduce design bottlenecks, lead-times and overheads, as well as empowering building designers to see directly, at the concept stage, what the implications of their design decisions might be on both structural feasibility and likely component costs.
Design Time Reduced by 80%
Double manufacturers’ productivity
10% reduction in construction cost of each floor (est. $700 per floor)
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