BidcoreAI is AI-powered construction estimating software for general contractors, subcontractors and preconstruction teams. Upload a drawing set and specifications, and the platform reads the scope, measures the quantities, prices them against your own cost data, and hands back a CSI-coded estimate you can defend line by line.
Construction estimating software is the system a contractor uses to turn a set of drawings and specifications into a priced bid. That means four jobs, not one: read the scope out of the documents, measure the quantities off the drawings, apply costs to those quantities, and assemble the result into something a client, an owner or a contracting officer will accept. Tools that only do the last step are pricing spreadsheets with a nicer interface — the estimator still does the reading and the measuring by hand, which is where both the hours and the errors live.
BidcoreAI covers all four. The AI document analysis reads every sheet, schedule and specification section and returns the scope it found, with a page reference for each item. The takeoff workspace measures the drawings — counts, lengths, areas and volumes — in the browser, with no separate takeoff licence to buy. The cost engine prices those quantities against your own historical costs or a regional benchmark database, coded to CSI MasterFormat. And the bid tools package the scope for subcontractors, level what comes back, and draft the proposal from the estimate you just built — including on federal solicitations, which most estimating software ignores entirely.
The important detail is that these are not four products stitched together with exports. A quantity measured in the takeoff workspace is the same object the cost engine prices and the bid package references. When a revised drawing set arrives — and it always does — the platform compares it against the previous version, shows what changed, and updates the affected quantities instead of asking you to re-measure a floor because a door schedule moved.
That matters most in the last week before a bid is due. The common failure in estimating is not arithmetic; it is a scope item that never made it out of the specification and onto the estimate at all. A missed fire-stopping section, an addendum that changed a slab thickness, a finish schedule nobody cross-checked against the room list. Software that reads the documents and keeps quantities tied to their source is software that makes those omissions visible while there is still time to price them.
A whole project or a single trade — the same workspace, scoped to whatever you are actually bidding.
General contractors pricing a complete building, from sitework through finishes and MEP, coded across all CSI divisions.
Subcontractors pricing only their own scope, with the takeoff limited to the sheets and details that concern them.
Unit costs from your own completed jobs, an imported cost book, or a regional benchmark when you have no history for a line item.
Applied by rule rather than typed in at the end, so the same job priced twice comes out the same way twice.
The estimate splits into subcontractor packages, and the quotes that come back are compared against the scope you sent out.
The proposal is drafted from the estimate that was actually priced, so the narrative and the numbers do not drift apart.
The capabilities contractors normally buy from three or four separate vendors, connected rather than exported between.
Specifications, drawings and addenda read end to end, with the scope returned as a list you can check against the documents.
Counts, lengths, areas and volumes measured on PDF drawings in the browser, with AI proposing the measurements and you confirming them.
Quantities priced against your own cost library, coded to CSI MasterFormat, with material, labor and equipment separated.
Your historical unit costs stored, versioned and reused, so the second estimate of a building type is faster than the first.
Measure across an entire plan set at once — every level, every detail sheet — instead of one page at a time.
A new drawing set is compared against the last one, so an addendum shows you what changed instead of what is different.
Contract clauses, liquidated damages, insurance limits and schedule risk pulled out of the documents with page citations.
Scope split into subcontractor packages straight from the estimate, with the drawings and spec sections attached.
Subcontractor quotes compared line against line, with what each one included and left out made explicit.
A proposal drafted from the estimate, following the structure the solicitation or the client asked for.
Every estimate, quantity sheet and comparison exports to a spreadsheet anyone can open without a licence.
Several estimators in the same project at once, with a record of who changed which number and when.
Line items land in the divisions your cost codes, subcontractors and accounting system already use.
The same estimating workspace, whether you build hospitals, warehouses or federal barracks.
Seven steps, and the estimate stays connected to the drawings the whole way through.
The gains are not mainly about typing speed. They are about what stops falling through the gaps.
Measuring is the slow part of any bid, and AI-proposed quantities across a whole plan set remove most of it. Estimators spend their time on judgement calls, not on clicking around a floor plan.
Quantities that stay tied to their sheet can be checked. Scope pulled out of the specifications with page citations can be argued about. Both are harder to get wrong than a number typed into a cell.
The constraint on most contractors is not opportunity, it is estimator hours. Cutting takeoff time is what lets a team pursue ten invitations to bid instead of properly pricing three.
Every estimate feeds the cost database. After a season of bidding, your unit costs reflect what your crews actually achieved on your projects, not what a national average says they should.
Missed scope is the expensive kind of error — it survives into the contract. Reading the specifications systematically catches the sections a hurried estimator skims past.
When the estimate, the measurements, the assumptions and the correspondence live in one project rather than on one person's desktop, a departure stops being a crisis.
Built for how US contractors actually bid — including the federal side, which most estimating tools ignore.
Every scope item and every measurement cites the sheet or specification section it came from. You are reviewing the AI, not taking its word.
Pricing runs on your own historical unit costs. A benchmark database is there for the line items you have no history for, not as the default.
SAM.gov opportunities, the free Go/No-Go Analyzer, FAR-aware risk review and proposal structures that match how solicitations are evaluated.
Concrete, steel, MEP, finishes and sitework in the same project, so a general contractor is not reconciling six trade tools.
Runs in the browser on Windows, macOS, iPad or a jobsite laptop. No workstation licences, no plugin versions to keep aligned.
If a bid is due Friday and you are short-handed, the same platform backs onto a professional estimating service that works in it with you.
Some weeks the bottleneck is not the tool, it is that four bids are due on the same Thursday. BidcoreAI also runs a professional estimating service: send the drawing set, and estimators working in this same platform return a priced estimate, a marked-up drawing set and a written basis of estimate — typically in 24 to 72 hours.
One platform, one cost database, one set of drawings — whichever scope you are pricing today.
Bring a set you have already bid. The fastest way to judge estimating software is to watch it price a job whose real numbers you know.
