AI in Construction​

The construction industry is one of the slowest adopters of AI technology, but it is one that will be completely transformed by AI in the coming decade. It is estimated that 23% of air pollution is caused by the construction industry, and a big part of the reason is multitude of inefficiencies this industry is currently facing.

AI and Machine Learning present an opportunity for automation and optimisation of the key construciton processes, starting with design, through to planning, management and development. Brainpool is one of the pioneers revolutionising the timber design industry with Genetic Programming (see We are here to help construction companies adapt to the fast changing industry.


Applications of AI in the Construction Industry


Automated Quotation Systems

Pricing construction projects is a complex manual task that requires expertise and knowledge across a multitude of variables. ML can automate and simplify large parts of these processes.
• Faster turnaround times
• Reduce human error in cost estimation

Automated Build Management

Bespoke IoT controls systems are deployed to automate building control and streamline a multitude of development processes.
• Automation of control systems and continuous learning
• Prompt identification of issues, proactive, not reactive

Design Automation

Areas of artificial intelligence such as genetic programming can be applied to automate the design processes, freeing architects and designers from manual and time consuming tasks and allowing them to focus on the creative aspects of their work.
• Faster design process and enhanced productivity
• Optimal designs
• Reduced waste and total cost of construction.

Hotspot identification and land purchasing

A SaaS platform able to utilise different data sources (e.g., satellite imagery, land registry) to identify and categorise land-use within a specific geography and pinpoint potential areas of development.
• Increased profitability
• Competitive advantage
• Risk-mitigation

Benefits of AI in construction

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Reduce operational costs

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Reduce negative environmental impact

Case Study: Automated Timber Floor Design Software

Client: Staircraft Group, one of the biggest timber stair and floor manufacturers in Europe.
The Challenge

After expanding their offer to include timber floor production, the client realized 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.

The Solution

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 minimize material costs, maximize 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)

Interested in learning more? Watch the video