Canaveral vs Togal.AI

Togal's platform includes real AI capability. Its Image Search and Text Search tools can find and count items like pumps and valves across an entire drawing set, even in files that aren't well-structured PDFs. Auto Naming reads sheet titles and numbers automatically, saving the manual entry that used to eat up setup time on every project. Togal also supports real-time collaboration, letting multiple people work on the same project and share plans with other contractors or suppliers. The company has picked up a number of industry awards for its technology, and it's transparent about direct comparisons with competitors like PlanSwift, Bluebeam, and On-Screen Takeoff on its own site.

Because Togal spans ten trades, it's a reasonable option for a general contractor or a multi-trade subcontractor who wants one AI-powered platform across a broad scope of work rather than picking a different tool for every trade.

Togal's mechanical trade page is largely generic, describing the same core feature set (Image Search, Text Search, Auto Naming, collaboration) that applies across all ten of its trade pages. There's nothing on it built specifically around mechanical or HVAC estimating: no mention of a parts and material pricing database, no labor rate configuration, and no automatic fitting insertion tied to duct or pipe geometry. That's consistent with a platform designed to generalize across trades rather than go deep on one.

Canaveral's AI is trained on mechanical and HVAC drawings specifically. QuickDraw reads round, rectangular, and oval duct dimension callouts directly and suggests them as you work. SymbolSight reads equipment schedules and cross-references them against the plan set to find every matching item, a workflow built around how mechanical schedules are actually structured on real drawing sets. Canaveral also handles the pricing side of the job: a built-in parts database, a material price book with sheet metal priced by gauge and weight and insulation priced by type and square footage, and tools to define your own labor rate definitions, conditions, and crews. Togal's public materials don't describe an equivalent estimating and pricing layer, focusing instead on the takeoff and measurement side of the process.

Canaveral's automatic fitting insertion, revision comparison with an AI-generated list of changes, and built-in AI chat assistant (Cooper) also aren't features described on Togal's site.

If your company bids across many different trades and wants a single AI-powered platform to standardize on, Togal's breadth across ten trade categories is a legitimate advantage, and its collaboration tools are well suited to teams sharing plans across firms. If your business is specifically mechanical, HVAC, piping, or sheet metal estimating, and you also need the estimate itself (pricing, labor, assemblies) built into the same tool as the takeoff, Canaveral covers more of that full workflow in one product.