AI Construction Takeoff Tools: Togal.AI vs Kreo vs Beam AI

Togal.AI

Togal.AI focuses on the work estimators do directly on drawings: detecting elements, measuring quantities, finding repeated symbols, and comparing revised drawing sets. The cloud workspace allows colleagues to work on the same takeoff, while Togal.CHAT adds a way to ask questions about the plans. That combination is useful when a project changes repeatedly and the estimating team needs a shared view of both measurements and revisions. An estimator pricing finishes, for example, needs quantities connected to the latest drawing rather than a detached answer in a chat window. Togal.AI keeps that drawing-centered workflow at the heart of the product. Its Growth plan includes broad takeoff, search, and chat allowances, with a separate Business offer for larger teams. Compared with Beam AI’s managed service, Togal.AI is primarily a tool the estimating team operates. Compared with Kreo, its strongest editorial fit is collaborative measurement and drawing comparison rather than a particular reporting template.

Kreo

Kreo brings AI measurements together with a workspace for organizing quantities and producing reports. Auto Measure detects common building elements, One-Click Area assists with boundaries, and Auto Count finds repeated objects. Caddie adds drawing assistance, while measurement groups, assemblies, and spreadsheet-style reporting help move from geometry toward an estimate. This makes Kreo appealing to estimators who want to inspect the measured elements and continue shaping the result in the same environment. For example, an area measurement can become part of a grouped quantity report instead of being copied manually into a separate worksheet. Its AI tools are associated with Pro and higher offerings; the cheaper Plus plan is positioned for measurement without that AI workflow. Kreo is therefore a particularly relevant alternative to Togal.AI when report structure and reusable estimating work matter as much as measurement. Unlike buying Beam AI’s prepared takeoffs, choosing Kreo means keeping the production and adjustment of quantities inside the team.

Beam AI

Beam AI offers two meaningfully different construction workflows. Its Do It Yourself software is available for HVAC, plumbing, and steel, while its Done For You construction offering supplies takeoffs that go through a QA process. The managed option covers all trades according to the current pricing page and includes software access, in-platform estimates, and bid-management tools. This is useful when the team’s bottleneck is the capacity to prepare quantities, rather than the absence of another measuring interface. Beam AI describes managed delivery windows that depend on project complexity, so it belongs in the bid schedule as a production step. It is not simply the same seat-based purchase as Togal.AI or Kreo. A contractor can consider the DIY option for supported trades, or the managed option for broader takeoff support. The distinction should remain explicit: the starting DIY license does not buy the same scope as the higher-priced Done For You construction service.

Who produces the quantities?

Togal.AI and Kreo both suit an estimator who wants to stay actively involved in the drawing workspace. AI assists the repetitive measurement work, while the estimator continues organizing and interpreting the result. Beam AI’s DIY offering belongs in that category for its supported trades, but its managed offering changes the division of labor. The buyer receives prepared, QA-checked quantities as part of a service. That makes Beam AI a different kind of shortlist candidate when a small department has more bids than its existing team can prepare within the available time.

Drawing changes and estimate preparation

Togal.AI’s drawing comparison is particularly relevant when revised plans keep arriving and the estimator needs to understand what changed. Kreo’s appeal is the connection between detected elements, grouped measurements, and editable reports or assemblies. Beam AI emphasizes the delivery of structured quantities and the ability to build estimates within its platform. These are different points in the same preconstruction workflow. A team struggling to reconcile plan revisions may favor Togal.AI; one spending time restructuring quantity output may favor Kreo; one short of takeoff capacity may favor Beam AI’s managed service.

Team collaboration and trade coverage

Togal.AI includes internal and external collaboration in Growth, making shared drawing work a visible part of the offer. Kreo’s reusable groups, reports, and higher-tier permissions fit teams standardizing how they estimate. Beam AI organizes its offering around trade scope and, for managed work, concurrent takeoffs. A mixed-trade contractor should therefore distinguish Beam AI’s broader managed coverage from its narrower DIY availability. The practical choice is whether the organization needs colleagues working together in the same measurement environment, a consistent reporting method, or additional capacity to produce takeoffs across several trades.

How to compare the license costs

Togal.AI and Kreo publish annual per-user prices, so the number of working estimators influences the subscription comparison. Kreo’s lower non-AI plan should not be used as the price of its AI features. Beam AI uses annual starting licenses differentiated by trade and service scope. Its DIY, managed construction, and aerial-imagery offerings are separate purchases. The table and linked profiles show the checked amounts; a meaningful budget comparison uses the workflow and trade coverage the team actually needs.

Which tool should you choose?

Choose Togal.AI for a shared drawing-centered takeoff workflow with revision comparison. Choose Kreo for AI measurements that flow into editable reports and estimating structures. Choose Beam AI when prepared takeoffs would relieve a capacity constraint, or when its supported DIY trades match your work. The most useful distinction is the work each option takes over within your estimating process.