AI construction estimating and takeoff software

An estimator opens the PDF or DWG set, identifies the scope and measures by hand with markup or CAD tools. Each measured element gets a quantity, a unit cost from the firm's history or a published reference, and a line total. That holds on a small set with a stable design.

It breaks on three things. A bid set of hundreds of sheets needs several estimators or several days. Every addendum forces a partial re-takeoff, with the risk of overlaps and omissions each time. And subcontractor bids arrive with their own quantities, which someone has to check line by line before anything is committed.

An AI takeoff agent reads the set end to end, identifies drawing types and scope, and extracts lengths, areas, volumes, counts and material callouts, organised by assembly or by your cost codes. The estimator's time moves from measuring to reviewing: checking quantities for reasonableness, applying site conditions and rates, making the calls.

When a revision lands, the agent compares it with the previous set and reports what changed, so re-costing covers the affected lines only. Judgment, bid leveling and sign-off stay with the team.

• Every quantity links back to the sheet, detail and spec clause it was measured from.
• Each line carries a confidence flag, so review starts where the risk is.
• The output says what share of the set it measured, and which sheets it did not.
• Scope that could not be measured comes back as a labelled flag, never as a zero: a zero reads as scope that does not exist.

Extraction quality follows drawing quality: clean vector PDFs hold up well, low-resolution scans and hand-marked sheets need more review, and that is worth testing before choosing any tool.

Searches for AI estimating software return four different kinds of product. Read each against your own bottleneck rather than a feature list. A fifth kind, pre-bid drawing review such as Helonic, checks a set for issues and produces no quantities.

On-screen takeoff you operate

PlanSwift and Bluebeam Revu help an estimator measure faster on screen, with templates, counts and markups. The estimator still measures every item.

See PlanSwiftSee Bluebeam alternatives

Self-serve AI takeoff

Togal.AI, Kreo and Quotr detect and measure elements on uploaded drawings; your team checks, corrects and exports the result, and owns the mapping into its own systems.

See Togal.AI alternativesSee KreoSee Quotr

Estimating platforms with databases

Trade estimating systems such as Trimble Accubid, McCormick and ConEst IntelliBid for electrical work, and the estimating modules of project platforms such as Procore and Autodesk Construction Cloud, price from item catalogues, labour units and cost history.

See Accubid alternativesSee Procore alternativesSee Autodesk alternatives

Delivered takeoff

Mirage's engineers build the takeoff agent around your drawing conventions and output format and run it; your estimators review and sign off, and the quantities land in the system you already price in.

See how forward deployment works

Two criteria matter more than any feature. Integration: the output has to land in the system where you price, whether an estimating platform, a cost database or an ERP, without anyone re-keying it. Transparency: an estimator has to be able to open each line, see its source, adjust it and approve it.

If your sets are clean, your volume moderate and your team happy to operate a tool, a self-serve product is the quicker start. If your bids are large and revision-heavy, your drawings mixed or scanned, or the quantities must reach an existing system, a delivered model carries the integration and the review loop for you.

Headcount is the wrong test. Mirage works with companies of any size; what decides whether automating takeoff pays is the work itself. Five questions settle it:

• Volume: how many takeoffs a month, and is the number rising faster than the team?
• Repetition: do the same assemblies, trades and drawing conventions come back bid after bid?
• Hours per takeoff: is each one a few hours, or several days of an estimator?
• Drawing quality: clean vector sets suit a self-serve tool; scanned, mixed or revision-heavy sets need more help.
• Review: can someone check the output during a pilot? Without a reviewer, no result is worth trusting.

A few bids a month, priced on time, rarely repay a setup of any kind. A team that declines bids for lack of time, or measures the same assemblies every week, usually does, whatever its size. Put your own volume, hours and quote into the calculator to see the hours freed and the budget that still breaks even in year one. See the automation ROI calculator

The fastest honest evaluation is a past set your team already estimated, ideally one that was built, compared line by line with the known answer. It gives you three things: the quantity variance on standard assemblies, the items the tool missed entirely, and the hours the review took. Use a set with addenda, so you also see how the tool handles a revision.

Vendors price in three ways. Per-seat subscriptions dominate self-serve tools and platform modules. Volume pricing charges by sheet, set or project. A delivered engagement prices the work and the integration: at Mirage, a fixed-price pilot you can stop after, then an annual subscription priced by volume, from $10,000 to launch and $1,000 a month.

The figure worth comparing is the cost per completed, reviewed bid: the subscription, the integration work needed to get quantities where you price, and the estimator hours spent correcting the output.

AI bidding software. Bid-side tools work after the takeoff: they compare subcontractor quotes against a common scope, flag the lines a vendor did not price and normalise quotes that arrive in different formats. The scope gaps they surface are usually worth more than the leveling itself. See bid leveling

Job management with AI-driven estimating. When commitments, change orders and pay applications matter as much as the bid, choose the management platform first and connect a takeoff tool to it. See Procore alternatives

Should-cost models and cost modelling. A should-cost model builds a price from the bottom up: quantities, labour hours at a known productivity, equipment, overhead and margin, so a quote can be challenged line by line. AI produces the quantity base, the part that takes days; the coefficients and the overhead treatment stay with your team, and they are what makes the model defensible.

Estimating time, not only cost. Hours per unit times quantity gives crew hours, which feed the schedule. Prefer tools that expose the productivity coefficient behind each line: it is the assumption most specific to your crews. See the markup and margin calculator

Most takeoff and estimating tools were built around US practice: CSI MasterFormat, imperial units, dollars. A contractor in the Netherlands, Belgium or Germany works with a local bill of quantities standard, metric units, euros, VAT and labour rates set by collective agreements. Quantity extraction transfers, since a drawing is a drawing; the pricing layer usually does not.

Two approaches work: use AI for takeoff only and keep pricing in the system your team trusts, or calibrate the cost model on your own closed projects. Mirage's output is written in your classification, units and currency. See NRM2 quantities for the UK

Three phases. Data preparation: closed projects and cost codes, and how much of them is usable. A pilot on recent pursuits, comparing AI quantities with estimates your team already produced, which is also how estimators come to trust the output. Production, where new pursuits run through the workflow by default. With Mirage, the proof of concept runs a week after the first meeting and the first workflow reaches production in 4 to 6 weeks.

The return comes from estimator hours per bid, from the extra pursuits the same team can carry, and from fewer quantity errors reaching the contract. At John Cockerill, piping takeoff time fell by 80 to 90 percent once plan reading ran in front of the estimators. See how to automate an estimating department

During the pilot the current process keeps running and nothing is migrated, so live bids are priced the usual way and stopping means carrying on as before. See how a pilot runs alongside live bids