Hello, we’re construction’s first AI-powered research hub.
Buildots Intelligence Lab.
Construction is one of the world’s largest industries, yet one of the last to become data-driven. For too long, it has relied on gut feeling and static benchmarks that are often out of date and based on low-fidelity data.
We’re here to help modernize the field, giving leaders reliable data to guide decision-making from the project to the enterprise, and answer questions like: How much MEP work can realistically be delivered in a week? How well is this project performing in comparison to industry benchmarks? How do I evaluate trade productivity?
While we publish objective data, we don’t claim to have all the answers. We believe data is a dialogue, and we often lean on our global ‘hive mind’ to help interpret complex findings.
Our intelligence pillars.
Insights
We look for ‘nuggets’ of information that create genuine ‘aha’ moments – the kind of information that informs real-world changes that optimize construction performance.
Metrics
By standardizing metrics for measuring performance, we move past subjective percentages and gut feelings, giving you a clear way to track everything from scheduling to output to efficiency and beyond.
Benchmarks
True progress requires a point of comparison. Our benchmarks allow you to see exactly where you stand against the global industry standard, whether categorized by sector, region, or specific trade.
The people powering the Lab.
Amir Berman
VP Industry Transformation
Andy Steele
Lab advisor & former GC CEO
David Milnes
Industry Transformation Manager & former GC Head of Digital Construction
Dima Zabezhinsky
Industry Transformation Manager
Let's turn your intuition into intelligence, together.
If there's something you've always wondered about construction productivity, a pattern you've spotted anecdotally but never been able to prove, or a hunch you'd like to back up with hard data, we want to know.
Whether you’re a construction professional, academic, consultant, or other researcher, send us your questions, and we'll dive into the data.
Frequently asked questions
