The construction industry is one of the largest in the world — but also one of the least digitized. And nowhere is this more obvious than in the way contractors prepare cost estimates and bid on projects. In LATAM, the standard workflow hasn’t changed since the 1980s: architects send PDFs of blueprints, engineers open AutoCAD, manually count elements, transfer data into Excel, and then spend days crunching numbers just to build a basic estimate.
The process is slow, expensive, error-prone, and eats up hundreds of skilled labor hours per project — before the company even knows if they’ll win the contract.
The pain is real and universal:
- Engineersare overwhelmed, often working nights and weekends to meet deadlines.
- Construction companies bleed cash on estimates that go nowhere.
- They also need to forgo some projects due to lack of bandwidth.
- Accuracy suffers, leading to underbidding (and lost money) or overbidding (and lost contracts).
- There’s no data feedback loop, so knowledge isn’t compounding.
What’s worse: these inefficiencies don’t just slow down companies — they prevent them from growing. In a market where margins are thin and the speed of execution is everything, this legacy approach is a major drag on competitiveness.
And yet, very few players have addressed this with true AI. Most are just digitizing the old workflow, not reinventing it. That’s the gap — and the opportunity.