Togal AI Review 2026: $299/Seat Pricing, Accuracy, Cheaper Options

Togal AI costs $299 per user per month on its Growth plan, billed yearly (about $3,588 per seat per year), and teams of four or more users move to a custom-priced Business plan. The short verdict: Togal is a fast AI takeoff tool on clean architectural plans, but it stops at quantities. It has no cost database and does not produce a priced estimate.

That makes Togal a good buy for one kind of GC estimating team and an expensive detour for others. Below is the full Togal AI pricing breakdown, what each plan includes, what the AI does well and where estimators still clean up its work, and how it compares with STACK, PlanSwift, Autodesk Forma Takeoff, and Struvia.

Togal AI Pricing at a Glance

Togal publishes exactly two plans on its pricing page, checked October 2026. Only one has a public price.

A few details from the same page are worth knowing before the sales call:

• There is no published free trial. Both "Try Now" and "Book a Demo" route to a demo request, so plan on a demo before you get access.
• Growth is billed yearly. The $299 is a monthly rate on an annual commitment, not month-to-month.
• Cancellation means contacting Togal before your renewal date. Put the renewal on your calendar the day you sign.
• Business billing terms are not listed. Get the per-seat rate, term length, and renewal terms in writing.

What Togal AI costs per year

Because Growth is priced per seat, the annual cost scales in a straight line with your estimating team:

Three seats is about $10,764 a year before you ever reach the Business quote. That is the realistic ceiling of Togal's published pricing. Past three users you are negotiating, and Togal lists "quantity discounts" on Business, so ask what that means per seat before you commit; there is no published figure.

What the price does not include

Every dollar of Togal's price buys takeoff. It does not buy:

• A cost database or unit-cost library
• Assembly pricing or a priced estimate
• Subcontractor bid packages, outreach, or bid leveling
• Job costing or project financials

Togal does export quantities to Excel, so the handoff to your estimating spreadsheet is possible. But the pricing work still happens in that spreadsheet, by your estimator, after Togal is done. When you compare Togal's cost to other tools, compare it to the takeoff part of their price, not to a full estimating platform.

Togal AI Review: What the Software Actually Does

Togal is an AI quantity takeoff tool, and that is a precise description rather than a knock. You upload a PDF plan set, and Togal's computer vision detects and measures rooms, floor areas, walls, and openings. You then review, adjust, and organize the results into classifications that match how you bid.

The Growth plan also includes a chat feature (ask questions about the drawings in plain language) and image and symbol search, which lets you find every instance of a symbol across the set and count it. For door, fixture, and device counts on clean drawings, that search is one of the more useful parts of the product.

The core value is speed on area-based takeoff. For estimators who spend hours tracing rooms in Bluebeam or clicking through floor plans in PlanSwift, Togal's auto-detection is fast when the drawings cooperate. If you want the broader context on where AI detection helps and where it does not, our comparison of AI vs manual construction takeoff covers the trade-off across tools.

Where Togal's accuracy holds up

Togal works best on clean, vector-based architectural PDFs with labeled rooms and standard symbology. The project types that suit its detection best:

• Multifamily with repetitive unit layouts. Once the AI reads one unit type correctly, the same pattern repeats across floors.
• Retail buildouts and office TI. Clear demising walls and simple room geometry are what the detection is built for.
• Schools and other buildings with typical room configurations. Standard room shapes, standard labels.

On that kind of plan set, the time savings Togal markets are believable. Initial floor-area and wall-length quantities can come together far faster than tracing by hand.

Where estimators still clean up the work

The friction shows up on drawings that don't look like what the model expects:

• Scanned or low-resolution plans. Raster scans of older sets produce more misdetections than vector PDFs.
• Missing or ambiguous room labels. The AI can misidentify spaces when the label it relies on isn't there.
• Complex wall intersections. Wall detection is less reliable where assemblies meet at odd angles or overlap.
• MEP-dense and sitework sheets. When the system can't cleanly separate layers, trade quantities need much more checking. Estimators working through MEP drawings will hit these edge cases more often than estimators bidding tenant improvements.

Accuracy also varies inside a single project. As an illustrative example, picture a mixed-use set where the AI reads the residential floors cleanly but struggles with the retail podium below. Correcting the podium can eat back a large share of the time saved upstairs. That correction time is where the return on Togal's price either holds or falls apart, so budget for it on every bid until you know how the tool behaves on your drawings.

There is also a judgment curve: knowing when to trust the output and when to verify it by hand. That comes from running the tool on your own work for a few weeks, not from the demo.

Workflow, Integrations, and Export

Takeoff is one step in a multi-stage estimate, and Togal's fit depends on how cleanly it hands off to the next one.

You have probably been here: it's Thursday afternoon, the bid is due Friday, and you have quantities out of your takeoff tool that don't drop cleanly into your estimating template or your sub scope sheets. That handoff is where a lot of AI tool promises lose time in practice.

Getting data out of Togal

Togal exports quantities to Excel, which covers most GC estimating workflows. From there the typical path looks like this:

1. Run the takeoff in Togal and clean up the classifications.
2. Export quantities to Excel.
3. Reformat or map them into your estimating template.
4. Apply unit costs from your own price book or supplier quotes.
5. Build sub scopes and send bid packages from a separate tool or email.

Steps 3 through 5 are outside Togal. Togal's pricing page doesn't list native integrations with project management or accounting platforms, so if you run Procore, Buildertrend, or Sage, ask in the demo exactly what connects and how. Firms already living in Autodesk Construction Cloud get a tighter handoff from Autodesk's own takeoff tool, which is one of the few real advantages it has over Togal.

Collaboration

Growth includes collaboration with every user inside your account and unlimited external collaboration with people outside it. That means you can share takeoffs with a project manager, a partner, or an outside estimator without buying them a seat, which is a fair amount of value at the Growth price.

Learning curve and onboarding

Basic takeoffs are quick to learn. Most of the ramp is not the buttons but the judgment: which sheets Togal reads well, how to set up classifications that match your bid structure, and when to override the AI. Expect a couple of weeks before an estimator is fast and a few more before they trust the output on unfamiliar plan types.

Formal onboarding and training assistance is listed as a Business plan feature. Growth customers get the product and support, but if structured training matters to you, that is a reason to price the Business plan even at three seats.

Who Should Buy Togal AI (and Who Shouldn't)

Togal is a good fit if

• You are a mid-size commercial GC or specialty contractor with a dedicated estimating team.
• You bid high volume, roughly 15 or more takeoffs a month, so time saved per takeoff compounds.
• Your work is mostly multifamily, retail, office TI, or similar plan types with clean architect-issued PDFs.
• Your estimating spreadsheet and pricing process already work, and quantity generation is the bottleneck.
• You have one to three estimators, so the published Growth price applies.

In that profile, Togal is one of the more credible tools in the AI estimating software for general contractors conversation.

Togal is a poor fit if

• You are a small GC or solo estimator who would save fewer than five hours a month per seat after cleanup. A $3,588 seat needs steady time savings to pay back.
• Your drawing quality varies, or your work includes heavy civil, complex MEP, industrial, or healthcare sets where correction overhead climbs.
• Pricing, not measuring, is your bottleneck. Togal hands you quantities and stops.
• You need sub bid management in the same workflow. Togal doesn't send scopes, collect bids, or level them.
• You want predictable cost for a team of four or more without a sales negotiation.

The ROI math to run before you sign

Run the number the way an experienced estimator would. Take your current hours per takeoff, multiply by takeoffs per month, and estimate the share Togal would save on your actual drawings after cleanup. Multiply by your estimator's loaded hourly cost. If that monthly figure doesn't clearly beat $299 per seat, the tool doesn't pay for itself yet.

As an illustrative example: an estimator spending five hours per takeoff on 12 takeoffs a month spends 60 hours on quantities. If Togal cuts that by a third after cleanup, that's 20 hours back. At a $60 loaded hourly cost, that's $1,200 a month against a $299 seat, which works. At three takeoffs a month, the same math returns $300, which is roughly break-even. The answer depends almost entirely on volume and drawing quality, so ask for the demo on your own drawings, not the vendor's sample set.

Togal AI vs STACK, PlanSwift, Forma Takeoff, and Struvia

Togal sits in a crowded market. Here is how it compares with the tools GC estimators most often weigh it against, using published or tracked prices as of October 2026. For list prices across the wider market, see our construction takeoff software pricing guide.

Togal AI vs STACK

The most useful comparison on price. STACK Premium is $299 per user per month billed annually, the same rate as Togal Growth, and it includes AI Takeoffs. STACK Pro, at $349 per user per month, adds worksheet estimating, STACK for Excel, and the BNI cost library, so for $50 more per seat you get a path from quantities to a priced number. STACK also has a free plan (one active project a month, 300 plan pages, 50 measurements per project) that lets you test the workflow before paying. Togal's case against STACK rests on detection speed on clean plans. Our STACK software review goes deeper.

Togal AI vs PlanSwift

PlanSwift is cheaper (about $1,595 one-time or about $1,749 per year) and gives experienced estimators full manual control and a mature plugin ecosystem. It doesn't auto-detect rooms. If your bottleneck is takeoff speed on high-volume, clean-drawing work, Togal wins. If your drawings vary and your estimators already know PlanSwift cold, a Togal seat costs about twice as much a year and they'd still be learning when to trust it. See our PlanSwift pricing review for the full breakdown.

Togal AI vs Autodesk Forma Takeoff

Autodesk Takeoff was renamed Forma Takeoff in 2026. Autodesk doesn't publish the price; third-party trackers put it around $1,250 per user per year (about $155 per user per month), with volume and multi-year discounts typically 10 to 15 percent. That is well below a Togal seat. Forma's advantage is the Autodesk Construction Cloud connection; its weakness, like Togal's, is that a full priced estimate needs another product (ProEst, quoted separately). If you aren't on ACC, much of that integration value goes unused. Our Autodesk Takeoff review covers it in detail.

Togal AI vs Struvia

This is the honest contrast. Togal is per-seat takeoff that stops at quantities. Struvia is usage-billed takeoff that continues into a priced estimate: it measures the plans, prices the quantities from your company's own price book (and your suppliers, if you set that up), and delivers the estimate in your own Excel template with your formulas intact. Every line traces back to its basis on the plans. It also handles the sub side: bid packages, outreach, and bid leveling that flags scope gaps and exclusions.

On cost, real plan sets run $30 to $85 to measure and price, about $45 for a typical set. Floor plans start at $6 a sheet, no sheet costs more than $27, and reading a plan set costs about $0.07 a page. There are no seats and no subscription; you pay for the sets you run. New accounts start with 600 free credits.

Where Struvia is the wrong pick: if you only want a fast measuring tool for a team that already prices well in its own spreadsheet, a takeoff-only tool may be all you need. Struvia is also not a project management, job-costing, or accounting system. And at very high volume, usage billing can add up, so run your own set count against a seat price. For example, three estimators each running 20 sets a month is about 60 × $45 = $2,700 a month on Struvia against $897 a month for three Togal seats; the Struvia figure includes pricing the estimate and the Togal figure does not, so compare it with your takeoff-plus-pricing hours, not the seat price alone.

Looking for more Togal alternatives?

This review focuses on whether Togal itself is worth the money. If you've already decided it isn't the right fit and want a ranked list of other options, see our Togal AI alternatives guide.

Frequently Asked Questions

How much does Togal AI cost?

Togal AI's Growth plan costs $299 per user per month, billed yearly, which is about $3,588 per seat per year. Teams of four or more users move to the Business plan, which is custom-priced and adds onboarding and training, a dedicated support rep, quantity discounts, and SSO. Togal publishes no other plans.

Does Togal AI have a free trial or free plan?

Togal's pricing page doesn't list a free trial or free plan. Its "Try Now" and "Book a Demo" buttons both lead to a demo request, so expect a demo before you get access. Ask to run the demo on one of your own plan sets.

Does Togal AI create priced estimates?

No. Togal is a quantity takeoff tool with no cost database or assembly pricing. It exports quantities to Excel, and your estimator applies unit costs in your own spreadsheet or estimating software afterward.

How accurate is Togal AI?

Accuracy depends heavily on the drawings. Clean, vector-based architectural PDFs with labeled rooms, such as multifamily, retail, and office TI, read well. Scanned plans, missing room labels, complex wall intersections, and MEP-dense sheets need noticeably more manual correction. Budget review time on every takeoff until you know how it handles your plan types.

Is Togal AI worth it for a small GC?

Usually not at low volume. A single seat is about $3,588 a year, and a shop that saves fewer than about five hours a month per estimator once cleanup time is counted won't cover it (at a $60 loaded hourly cost, five hours is $300). A cheaper takeoff tool, STACK's free plan, or a usage-billed tool that charges per plan set fits better at that scale.

How does Togal AI compare to STACK on price?

Togal Growth and STACK Premium are both $299 per user per month billed annually, and both include AI takeoff. STACK Pro costs $349 per user per month and adds worksheet estimating and a cost library, which Togal doesn't offer. STACK also has a free plan; Togal doesn't.

The Verdict on Togal AI Pricing and Value

Togal is a legitimate, specialized tool. For a mid-size commercial estimating team with clean plan sets and high bid volume, the AI speed is real and $299 a seat is defensible. For small shops, variable drawings, MEP-heavy or civil work, or teams of four or more who want a predictable number, it's harder to justify.

The bigger question is what happens after the quantities. Togal solves takeoff and then hands you a spreadsheet to price by hand, with sub outreach and bid leveling still to come. If that is where your estimating time actually goes, a per-seat takeoff subscription doesn't fix it.

If you want to see the quantities priced into your own Excel estimate template on a real job, upload a plan set free on Struvia and use your 600 starting credits to run it against your next bid.

*Reviewed by Weston Burnett, Co-Founder and CTO of Struvia.*