Canaveral vs Beam AI (iBeam.ai)

Beam AI's core pitch is volume: contractors using the service report bidding three times as many jobs without adding headcount, since the takeoff work gets handled by Beam's own team and AI pipeline rather than an in-house estimator. The company claims 1,200-plus contractors and more than 20 million hours of takeoff work completed, along with a stated 90% feature capture accuracy on its faster self-serve mode. Beam AI covers a long list of trades: HVAC and mechanical, concrete and rebar, structural steel, electrical, plumbing, roofing, flooring, masonry, and several field service categories like landscaping and paving. For a general contractor or supplier juggling many trades and mostly wanting takeoffs off their plate entirely, that breadth and the done-for-you model solve a real staffing problem.

Beam AI also offers centralized rate and markup control, letting a firm update labor or material pricing once and have it apply automatically across a bid, along with roll-up and custom template tools for organizing estimates.

The biggest difference isn't a feature. It's the workflow itself. Beam AI's flagship experience means handing your plans to an outside team and waiting a day or more to get results back, even with the faster self-serve option available as an alternative. Canaveral is something an estimator uses directly and in real time: you're the one running QuickDraw over a duct dimension, reviewing SymbolSight's equipment matches, and adjusting a takeoff as you go, with results available immediately rather than after a turnaround window.

Trade focus is the second major difference. Beam AI spans more than a dozen trades, and mechanical and HVAC is one category among concrete, steel, roofing, and several others. Canaveral only builds for mechanical and HVAC, which shows up in specifics Beam AI's site doesn't describe for that trade: sheet metal priced by gauge and weight, duct and pipe insulation priced by type and square footage, automatic fitting insertion based on route geometry, and dedicated workflows for equipment vendors and test and balance scopes.

Canaveral also includes Cooper, a built-in AI assistant available inside every project, and an automated revision comparison tool that generates an exact list of what changed between two versions of a plan set. Beam AI's public materials don't describe either of these specifically.

If your business needs takeoffs handled by an outside team because you don't have estimating capacity in-house, or you bid across many trades and want one vendor covering all of them, Beam AI's done-for-you model solves a real resourcing problem that a self-serve tool like Canaveral doesn't address the same way. If you have an in-house estimator or team who wants to run mechanical and HVAC takeoffs themselves, in real time, with pricing and custom labor definitions built into the same tool, Canaveral keeps that work and that control in-house rather than outsourcing it.