Boon AI alternatives

Boon AI describes itself as an intelligence layer for construction preconstruction. It reads drawings and specifications to automate takeoffs, catch conflicts between the specifications and the drawings, find scope gaps, draft RFIs, level subcontractor bids and summarize bid documents, for general contractors and subcontractors in electrical, mechanical and HVAC, structural steel and concrete. Its two main offers are AI takeoff with trade estimating tools, and Boon Agent, which works inside Slack, Microsoft Teams, Procore, Autodesk Construction Cloud, BuildingConnected and Destini Estimator. Boon AI at getboon.ai should not be confused with the site at boon.ai, which describes AI agents for B2B buying and selling.

Boon publishes task-level F1 scores on its accuracy page, with the failure modes it knows: 0.93 to 0.95 for structural steel beam detection and 0.64 for electrical device detection, for example, and floors of 0.90 for electrical fixtures and conduit, 0.85 architectural and 0.74 mechanical on work it has not seen before. These are Boon's own measurements. Its pricing page redirects to a demo request, and Boon Agent starts at $375 one-time for 5 million tokens.

Mirage is a forward-deployed AI engineering company. Its construction agents cover takeoff traced to the sheet, bid leveling, specification review, clash detection, revision comparison and RFI tracking, adapted by Mirage engineers to your drawings and conventions and run in the systems you already use. Mirage publishes no accuracy percentage. Its published construction results are 80 to 90% less time on piping takeoff at John Cockerill, and three agents in production at OCBM for takeoff, bid pricing and consistency checks across drawing revisions, with every quantity traceable to its source drawing. A proof of concept on your own documents comes a week after the first meeting; the first workflow is in production in 4 to 6 weeks.

Start with who will run the tool. Boon AI is built for estimators who want AI takeoff and bid review in a platform they use themselves, inside Slack or Teams, and it publishes per-task accuracy to judge it by. Mirage is built for contractors who would rather have engineers adapt the agents to their drawings and systems and run them in production.

Neither company's figures settle it on their own: Boon's F1 scores are its own measurements, and Mirage publishes results per deployment rather than an accuracy percentage. Run both on one of your own plan sets and compare the time it takes to reach a reviewed, bid-ready number.