Drop in the quotes
Start with the spreadsheets, PDFs, and bid documents your subcontractors actually send, without forcing every quote into the same template first.
Bid leveling · Boon AI
Boon helps preconstruction teams compare subcontractor bids across different formats, surface inclusions and exclusions, and review scope gaps before choosing an award.
Start with one representative plan set. Keep your estimator in the loop.
Boon is an intelligence layer for preconstruction. It handles repetitive document work and returns a result your team can inspect before the bid moves forward.
Start with the spreadsheets, PDFs, and bid documents your subcontractors actually send, without forcing every quote into the same template first.
Boon compares inclusions, exclusions, allowances, quantities, and unit-rate context so the team can see where bids differ.
Use the comparison to identify gaps and questions, then make the award decision with clean evidence instead of a stack of tabs.
The goal is not to hide the estimator. It is to give the estimator a cleaner first pass and better evidence for the decisions only a human should make.
Bring a sub's Excel and another sub's PDF into the same review instead of reformatting every quote by hand.
Surface exclusions, allowances, and scope gaps before a low-looking quote becomes an expensive change order.
Boon organizes the evidence. Your estimator or preconstruction lead still owns the recommendation and award.
Bid leveling software compares subcontractor bids by normalizing scope, inclusions, exclusions, allowances, and pricing context so a preconstruction team can evaluate quotes apples-to-apples.
Yes. Boon is designed to review the bid documents teams already receive, including spreadsheet and PDF formats, and return a side-by-side scope comparison for human review.
Boon organizes the comparison and surfaces gaps. The estimator or preconstruction lead remains responsible for the award recommendation and final decision.
Boon Agent starts at $375 one-time for 5M tokens. See the current offer and terms at /pricing.
Send a representative set, review the output with your team, and decide where AI improves the process before committing to a rollout.