The STACK alternative for precast producers: what actually changes
If you are a precast producer looking for a STACK alternative, the honest first question is not which takeoff software has better tools. It is whether your estimator should still be doing the counting at all. STACK, Bluebeam, and PlanSwift are general-purpose takeoff platforms: they make a human faster at clicking structures on a plan. ARC is a Custom AI Employee built for precast producers: it reads the civil set itself, finds the structures, pulls rims and inverts, prices from your catalog, and flags anything it cannot prove instead of guessing. Those are two different categories, and this page compares them honestly.
What STACK actually is, and what it costs
STACK is good software. It is a cloud takeoff and estimating platform used across trades: you upload plans, and your estimator measures, counts, and annotates with purpose-built tools. Published pricing runs from 599 dollars per user per year for the Start tier to 2,599 dollars per user per year for the Grow tier, with custom enterprise pricing above that.
The thing to notice is what that money buys: a faster manual process. Your estimator still opens every sheet, still finds every catch basin and manhole, still reads every rim and invert off the callouts, and still types quantities into a quote. On a dense storm plan that is hours of skilled reading, and every missed structure is still possible because a human is still the one scanning the sheets.
What a precast-specific AI does differently
ARC does the reading. You drop the civil set in, and it comes back with the structure list: every manhole, catch basin, and outlet structure with its rim, invert, depth, pipe connections, and a takeoff priced from your own catalog and your own rates.
The part that matters most is what happens when the plan is unclear. General takeoff tools leave ambiguity to the estimator's attention span at hour three. ARC is built on a different rule: right, or flagged. When two labels might be the same physical structure, it counts conservatively, prices the group once, and raises one question for your estimator to answer. When a product designation is not printed, it ships the line unpriced and flagged rather than picking something plausible. On our benchmark run of a real sewer separation project, that meant 21 of 21 structures found, 1 question raised, and 0 values invented. We wrote up the full methodology, including the plans where we failed first, in our benchmark story.
The comparison, honestly
| What you are comparing | STACK (and similar) | ARC |
|---|---|---|
| Category | Takeoff tooling for a human estimator | A Custom AI Employee that produces the takeoff |
| Who finds the structures | Your estimator, sheet by sheet | The AI, with every value traced to the printed plan |
| Precast specifics | Generic counting tools | Structure schedules, rim and invert reading, ODOT designations, your catalog |
| Handling ambiguity | Estimator judgment, whenever it is applied | Forced flags: uncertain items become questions, never guesses |
| Pricing model | 599 to 2,599 dollars per user per year, published | Scoped per producer; ask us |
| Time on a mid-size storm plan | Hours of estimator time | Minutes of machine time plus a short review |
| Your engineer's stamp | Stays with your PE | Stays with your PE. ARC never stamps or certifies anything |
Two things in that table deserve emphasis. First, ARC does not replace your estimator's judgment; it replaces the retyping and the scanning. Reviews still happen, and your people still decide every flagged question. Second, no AI should claim perfection. Ours does not: uncertainty is surfaced, not hidden, and that behavior is enforced by automated gates, not by good intentions.
Where the estimating hours actually go
It helps to be concrete about what "the reading" means, because that is the cost you are deciding about. A mid-size municipal storm job arrives as a civil set of eight to fifteen sheets: a cover, general notes, plan sheets, profile sheets, and details. The structures your plant will furnish are scattered across all of them. The plan view shows a callout like STR 4 or C.B. number 7 with a rim elevation. The profile sheet, three pages later, carries the inverts for the same structure under a slightly different label. The detail sheet defines what the outlet structure actually is, and the notes decide whether those four existing sanitary manholes are reference-only or part of your scope.
An estimator working in STACK or Bluebeam walks that maze structure by structure. Find the callout, zoom the profile, match the labels, read the elevations, decide what is new work versus existing, then type the line. Do that thirty times without missing one, on a Tuesday, with two other bids due. The tooling makes each step smoother; it does not remove a single step. Producers tell us the same number over and over: a real storm package costs an afternoon to a full day of senior estimating time, and the senior part matters because label-matching across sheets is exactly where junior takeoffs go wrong.
That is the specific work ARC absorbs. It walks the same maze with the same rules, and it shows its work: every value in the takeoff carries a source note naming the sheet and callout it came from, so review is spot-checking printed evidence rather than re-doing the read.
When STACK is the right answer
An honest comparison cuts both ways. STACK is likely the better fit if you bid many trades beyond precast, if your volume is a plan or two a month and the reading burden is small, or if your workflow is built around markup collaboration across a large estimating team. General tools are general for a reason, and if the counting is not your bottleneck, better counting tools may be all you need.
If you are a precast producer whose estimators spend their days reading civil sets, the math is different. The bottleneck is the reading itself, and tooling that makes reading 20 percent faster still leaves the reading. That difference compounds across every bid; we wrote about where those hours actually go in what a structure schedule is and what to do when plans lack one.
What switching actually looks like
You do not switch, at first. You test. Pick two or three plan sets your estimator already finished by hand, send them in, and compare the AI takeoff against the numbers you already trust. That comparison, structure by structure, against your own completed work, tells you more than any feature table. It is the same test we run against our own benchmark plans, and it is free to run on yours.
FAQ
Is ARC a drop-in replacement for STACK? No, and it is not trying to be. STACK is tooling for a human doing takeoffs across many trades. ARC is a precast-specific AI that produces the takeoff itself and routes uncertain items to your estimator as questions.
How much does construction takeoff software cost? STACK publishes 599 to 2,599 dollars per user per year depending on tier. Bluebeam and PlanSwift are in a similar range. ARC is scoped per producer because it is set up on your catalog, your pricing, and your product rules.
Does the AI ever guess when a plan is unclear? No. The core behavior is right or flagged: unprovable duplicates are counted conservatively and carded, unreadable values become review questions, and unmappable products ship unpriced with a flag. On our benchmark run that meant one question raised and zero invented values.
Who stamps the work? Your engineer, always. ARC never stamps, seals, or certifies anything, and it does not replace engineering judgment. It removes retyping and scanning, not responsibility.
Can I keep STACK and still use ARC? Yes. Several workflows use a general tool for non-precast trades while ARC handles the precast structure takeoff. They are different layers of the job.
Put it to the test
The fastest way to compare is with your own plans. Send two or three sets you already quoted through the Plan Challenge and get takeoffs back the next day. Compare them line by line against the numbers your estimator produced. If we are not right or flagged on every structure, you have lost nothing but an email.