A product of
Honest Togal AI review for construction estimators. See real pros/cons, limitations, and how Build Intel's Dexter AI compares.
Togal AI promises to cut takeoff time from days to seconds by reading PDF drawings and extracting quantities automatically. Independent testing from Kansas University in 2025 found Togal 76% faster than other leading takeoff tools. But speed alone doesn't close bids. After evaluating Togal across dozens of commercial projects—and interviewing estimators who've used it on everything from multifamily to tenant improvement work—the picture is more nuanced than the marketing suggests. Togal excels at one thing: rapid quantity extraction from clean, simple drawings. It falls short everywhere else in the bid-prep workflow, leaving you to export data and finish leveling, sub outreach, and scope validation in Excel or another platform.
This review breaks down Togal's real-world pros and cons for senior estimators and preconstruction teams. You'll see where Togal saves time, where it creates new problems, and how it compares to full-platform solutions like Build Intel that handle takeoff and the 60% of bid-prep work that happens after quantities are done.
Togal uses computer vision to scan PDF construction drawings and identify elements like walls, doors, windows, area polygons, and linear runs. You upload a plan sheet, tell Togal what to look for (e.g., "Partition Walls" or "Flooring Area"), and the software highlights detected objects on the drawing. You review, approve or adjust the detections, and export the quantities to your estimating spreadsheet or ERP.
Unlike traditional on-screen takeoff tools—where you manually trace every wall and click every door—Togal aims to do the initial detection for you. The promise: eliminate 80% of the clicking and tracing that consumes estimator hours. When it works well, you spend your time verifying and refining instead of measuring from scratch.
Togal does not automatically assign cost data, generate scope narratives, or compare subcontractor bids. It's purely a takeoff tool. Once you've got your quantities, you're on your own to turn those numbers into a competitive bid.
Togal's user base skews toward general contractors and subcontractors who handle high-volume, repetitive project types: residential builders doing tract homes, small commercial GCs bidding retail tenant improvements, and specialty trades like drywall or flooring that need fast area and linear counts. These firms value speed over granular control and often work with standardized drawing sets where line work is consistent and legible.
Larger GCs or construction managers bidding complex ground-up commercial work—hospitals, labs, mixed-use developments—report mixed results. The more trades, overlapping systems, and non-standard drawing details you have, the more manual cleanup Togal requires. One mechanical estimator told me, "Togal saved me time on warehouse shell projects but added QC headaches on a LEED healthcare job where the MEP coordination drawings had layers stacked on top of architectural plans."
When Togal works, it's genuinely fast. Estimators on Reddit and G2 praise the tool for cutting area takeoffs—think flooring, ceiling grids, wall finishes—from hours to minutes. One user wrote, "Togal basically can take off walls, areas on a floorplan, and some counts. It's helpful for saving some time doing area takeoffs." Another reported spending 30 minutes on a Togal takeoff that would have taken half a day in Bluebeam.
The Kansas University study showing 76% speed improvement over competing tools is real, but context matters: the test used clean, single-trade drawings with minimal overlapping line work. If your typical bid package looks like that—say, a one-story retail build with straightforward architectural plans—you'll see similar gains.
Togal's user interface is clean and requires minimal training. Most estimators are productive within a day or two, which matters if you have high turnover or rely on junior staff to handle preliminary takeoffs. The software runs in a browser, so there's no heavy local installation or GPU requirements.
Smaller firms appreciate Togal's simplicity. You don't need a dedicated IT team or a complex onboarding process. Upload a PDF, pick a detection type from the library (walls, doors, openings, etc.), click "Detect," and review the results. The software doesn't force you into a rigid workflow or require you to model the entire building before getting a number.
Compared to full-featured estimating platforms—some of which demand hours of assembly setup, database configuration, and user permissions—Togal feels lightweight. If your estimating process is still largely Excel-based and you just need faster takeoffs to plug into your existing templates, Togal slots in without disrupting your current system.
Togal's AI struggles when drawings deviate from the ideal: poor PDF resolution, overlapping architectural and structural line work, non-standard symbols, or layers not properly separated. One estimator on Reddit summarized it: "It basically can take off walls, areas on a floorplan, and some counts"—but when you need to count light fixtures on an electrical plan with dense annotation, or measure ductwork on a coordinated MEP sheet, the tool misses objects or counts irrelevant elements.
You're required to QC every detection. That's standard for any takeoff software, but with Togal the QC burden can be high. If the AI misidentifies a column as a door, or fails to detect a partition wall obscured by furniture callouts, you spend time clicking corrections. On complex projects, estimators report that cleanup eats back 30–50% of the time Togal saved on initial detection. The net gain is real but smaller than advertised.
More problematic: Togal doesn't understand scope. It counts what you tell it to count, but it won't flag that the door hardware schedule is incomplete, or that the specs call for fire-rated assemblies that aren't shown on the plan. Scope gaps are the number-one cause of post-bid change orders and disputes. Togal gives you quantities, but it doesn't validate whether those quantities represent the full scope of work.
Togal stops at takeoff. Once you've exported your quantities, you're back in Excel (or another platform) to:
For many GCs, bid leveling and sub follow-up consume more time than takeoff. You might save two hours on takeoff with Togal, then spend eight hours chasing subs by phone and email, manually building bid comparison spreadsheets, and reconciling scope mismatches. Togal doesn't address that pain.
This is a strategic gap. If your bottleneck is takeoff labor, Togal helps. If your bottleneck is the chaos between issuing ITBs and finalizing your GMP—missed scope, late sub bids, manual leveling—Togal won't move the needle.
Build Intel approaches the problem differently. Instead of automating only the takeoff phase, the platform treats estimating as an end-to-end workflow—from initial quantity extraction through sub outreach, bid leveling, scope validation, and proposal generation. The result: 30% faster bid-prep cycles measured from ITB to final number, not just takeoff to quantity export.
Dexter AI is Build Intel's context-aware assistant embedded throughout the platform. You can ask Dexter questions in plain English—"What's our drywall scope on the third floor?" or "Show me all bids that include temporary protection"—and it pulls answers from your project documents, drawing sets, and sub bids in real time. Dexter drafts scope-of-work narratives for ITBs, flags scope gaps before you send invitations, and surfaces bid anomalies during leveling (e.g., "Sub A excluded doors; Sub B included them").
This is fundamentally different from a takeoff tool. Togal speeds up counting. Dexter helps you think—it surfaces the scope issues, pricing outliers, and missing items that cause budget overruns and change orders.
Build Intel's takeoff module is AI-accelerated but human-driven. One-click measurements and one-click counting reduce repetitive work by roughly 30%, and multi-user real-time collaboration means two estimators can work the same drawing set simultaneously without version-control headaches. You're still in control of every quantity, but the software eliminates busywork.
After takeoff, Build Intel handles the parts of bid prep that Togal ignores:
This integrated approach means you're not exporting data from Togal into Excel, then manually emailing subs, then copying bids into another spreadsheet for leveling. Everything lives in one platform with full audit trails and version control.
Consider a typical 50,000-SF office tenant improvement bid due in 10 days. You have architectural, structural, MEP, and fire protection drawings—120 sheets total—and you need competitive bids from 25 subcontractors across 12 CSI divisions.
Togal workflow:
Build Intel workflow:
The difference isn't just takeoff speed. It's the elimination of manual busywork across the entire bid-prep cycle. Build Intel's automation targets the highest-friction tasks: sub follow-up, scope validation, and bid comparison.
Togal is a good fit if:
Togal is not a good fit if:
For context, see our full breakdown of Togal AI alternatives in 2026 and how different tools compare across takeoff, leveling, and sub management.
Most firms overestimate how much time they spend on takeoff and underestimate time spent on everything else. Before you buy any software, audit your last five bids:
If takeoff is less than 30% of your total bid-prep time, a takeoff-only tool like Togal won't deliver the ROI you need. You'll speed up one step but still spend 70% of your time on manual tasks that Togal doesn't touch.
For firms where sub follow-up and bid leveling dominate the schedule—common on hard-bid public work, design-build, and IPD projects—full-platform solutions like Build Intel typically show faster payback. The automation targets the highest-cost labor: phone calls, email chains, and spreadsheet wrangling.
If you're evaluating Togal, you're probably also looking at:
None of these tools handle bid leveling, sub outreach, or scope validation. They're all focused on the takeoff phase. For a deeper dive, see our guide to AI construction estimating in 2026, which compares feature sets, pricing, and use cases across 15+ platforms.
Don't watch a generic sales demo. Ask for a working session where the Build Intel team walks through your actual drawings and bid process. Bring a recent project—preferably one that was painful to estimate—and see how Dexter handles scope questions, how the leveling interface flags anomalies, and how automated sub outreach would have changed your timeline.
Specific questions to ask during the demo:
Request access to Build Intel's features page and pricing details so you can compare total cost of ownership against Togal and other alternatives.
Software ROI isn't just license cost divided by hours saved on takeoff. Calculate the fully loaded cost of your current process:
Compare that to the cost of Build Intel (or any alternative) across the same workflow phases. Most firms find that takeoff-only tools deliver 10–15% time savings, while full-platform solutions deliver 25–35% savings by automating the entire bid-prep cycle.
One VP of preconstruction at a West Coast GC told me: "We thought Togal would solve our capacity problem. It didn't. We were still working nights and weekends because leveling and sub follow-up took forever. Build Intel cut our total bid-prep time by a third, and we're winning more work because we can respond to more RFPs."
Don't evaluate software on vendor-provided sample drawings. Run a parallel trial on two or three live bids. Use your existing process on one bid and the new software on another. Measure:
Build Intel offers a free 20-day trial with credit card required, which gives you time to run several real projects through the platform and compare results against your baseline process. Togal typically offers shorter trials (14–30 days), which may not give you enough time to test the full workflow on a complex bid.
The best software decision you can make is the one based on your own data, not vendor case studies or third-party reviews. Test, measure, and compare.
Togal delivers real speed gains on takeoff—especially for firms with clean drawings and high-volume, repetitive
AI-accelerated takeoffs, bid leveling, sub management, and proposals. Credit card required.
Start 20-Day Free Trial →We use cookies for analytics and to show you relevant ads on other sites. You can accept all, reject non-essential, or customize. See our Privacy Policy.