Boosting efficiency in construction design with AI
01
Inform
Understanding the challenge
The challenge: managing an overwhelming volume of repetitive building designs.
In residential construction, many new housing projects look remarkably alike. Yet every design still has to be drawn in full detail by a team of technical draftsmen. The reason is simple: past designs are hard to find, scattered across old projects and stored in inconsistent formats. As a result, it’s often quicker to start from scratch than to spend hours searching and adapting existing work.
This means valuable time is lost redrawing what already exists, adding unnecessary pressure to an already overloaded team.
Key challenges:
- A shortage of skilled draftsmen: there are few well-trained professionals available.
- Repetitive work: drawing similar projects again and again instead of reusing existing designs.
- Inefficient workflows: finding and reusing old projects costs more time than starting from scratch.
The result: growing workloads, rising costs, and delays in project delivery.
02
Analyse
Making a long-lasting impact
Our solution: data-driven design matching.
We transformed 3D building files into efficient data structures (graphs). On top of this dataset, we built a matching algorithm that automatically finds similarities between new and existing projects.
How it works:
- Data structuring: 3D models are converted into standardised, searchable graphs.
- Smart matching: every new project runs through the algorithm, generating the top 10 most similar past projects.
Faster reuse: draftsmen can instantly pull up relevant reference projects, reducing time spent on repetitive tasks.
03
Activate
Results
The impact: faster work, less pressure.
- 25% faster drawings: projects that once required weeks of manual effort can now be completed significantly quicker.
- Lower workload: draftsmen spend less time repeating the same tasks.
- Smarter workflows: instead of searching for past projects manually, the right references surface automatically.
Talent bottleneck relief: by working more efficiently, the company can better cope with the shortage of skilled draftsmen.
Other Cases
