MBCEA Field Research
OpusPro is building Maestro, a labor estimation product focused on metal building erection. It helps teams produce consistent labor numbers, compare scenarios faster, and explain why labor moved between revisions.
Got one of our MBCEA cards? Share your estimating friction points in this quick survey. At the end, you can optionally request a 30-minute follow-up conversation.
Many teams still split labor estimating across spreadsheets, personal experience, and commercial software that is either expensive to scale or missing key workflow capabilities. The result is slower revisions, inconsistent numbers between estimators, and tougher conversations when labor hours change.
Maestro is being built specifically for metal building erection labor estimation. The goal is confident and precise estimation: support repeatable estimate passes, faster scenario comparisons, and clear change tracking from one revision to the next.
When erection labor is off, bid margin, crew planning, and schedule commitments all move with it. More consistent labor estimating means fewer surprises, faster alignment, and clearer communication across estimating and operations.
Our goal is confident, precise, traceable, and understandable estimation workflows for erection labor. Tools should advance your workflow, not overload it. We are building new capabilities that help estimators arrive at more accurate numbers while keeping assumptions and decisions clear.
We’re talking with contractors and erectors about how erection labor estimates are built, revised, reviewed, and defended today. Share your perspective so we can build around real field workflows, not assumptions. The survey includes an optional invitation for a 30-minute follow-up conversation.
Take the 90-second micro-surveyOpusPro is building software for teams that need reliable labor estimates for metal building erection work. Our first product, Maestro, focuses on helping estimators produce consistent labor costs, compare revisions, and explain labor changes clearly.
The goal: precise, confident, traceable, and understandable estimation workflows teams can trust.