Activant Capital: The Blueprint for a Smarter Future

In construction, every project is essentially a prototype — no two are the same, even if you're building the say retail store, it's on a different piece of land, using different suppliers of materials, etc. That makes it incredibly difficult to capture the kind of structured, repeatable data that traditional machine learning models depend on. Overcoming this barrier requires thinking about AI more broadly - not just as data-driven prediction, but as a suite of tools that can augment human expertise, automate decisions, and adapt to the unique, dynamic nature of each build.