Nine purpose-built AI tools for general contractors, developers, and project managers. Each built around your specific documents, your project types, and your workflow, instead of a generic SaaS platform you're renting by the month.
How it runs
Point the system at a tender package and it runs the whole chain — in a browser tab, start to finish.
01
Drawings, specs and RFIs in
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Checked against code + your spec
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RFIs, logs and takeoffs out
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Synced to your private system
None of what follows is scoping work. Estimating and drawing review are finished products you can open today, and the rest — the RFI backlog, the daily logs, the change orders, the minutes, the deficiency list — are screens inside Blueprint Auditor, on the same $149 plan. Each block below names where it lives. No discovery call, no scoping: buy the plan and run it this week.
A custom build is for the work that isn't here — wiring these into Procore, Sage or your own document system, or a workflow only your company runs. How a build works →
Turns measured quantities into a priced, risk-adjusted bid — 57 assemblies, 27 risk rules, the permits and development charges of whichever province, state or country you build in, Monte Carlo, and a margin ladder built from your own win history.
See every screen →Reads a drawing set and returns a real quantity takeoff, scope gaps, coordination conflicts and building code risk under the code that governs your site. Run it free on your own drawings before you decide.
Run it on your drawings →Takeoff gives you quantities; this prices them. One measured quantity becomes a complete priced system — studs, board, tape, fasteners, waste and crew-hours, then the estimator sizes the contingency against 27 risk rules, adds the local permits and development charges most software does not know exist, and hands you a margin ladder with win probability calculated from your own recorded bids. Point it at any Canadian province, US state or European country and it prices under that jurisdiction's rules.
On a recent 38-unit Toronto infill it wanted 9% contingency against the 5% being carried — a $362,535 gap, on screen before the bid went out, while it was still worth knowing.
The AI reads your full set of blueprints and project specifications in minutes — scope line items extracted, conflicts between drawings flagged, and spec contradictions identified before you commit to a price. What used to take an estimator three hours of manual review is surfaced automatically as a structured report, before you submit a number.
Catching scope gaps before they become a $40,000 change order you can't recover from later.
Every open RFI in your backlog checked against current blueprints — critical path blockers identified, affected trades flagged, and priority sequence established before they stop work on site. Nobody on your team has time to manage the RFI log properly at pace, so things slip until they're emergencies. This handles the triage automatically.
50, 70, 100+ open RFIs — prioritised and actioned before they block your trades on site.
All site logs from the project read weekly — manpower trends, recurring delay patterns, weather events, and dispute-ready flagged items compiled into one clear intelligence brief. The information buried in your daily logs about what's actually happening on site rarely gets synthesized. This does it automatically, every week, without anyone spending hours on it.
Losing disputes because the evidence was in the logs, but nobody was reading them carefully enough to use it.
Every subcontractor's scope letter compared against the project specifications and drawings — unpriced items, scope overlaps, and missing inclusions identified before mobilisation. The items nobody took explicit responsibility for are the ones that show up mid-project as change orders and disputes that damage every relationship on site.
"I thought that was in your scope" — conversations that cost real money and relationships.
Full tender package reviewed before you commit — ambiguous specifications, one-sided risk allocation clauses, owner clarification requirements, unusual conditions, and items that need formal clarification before bid all flagged in writing. Enter every tender with a complete picture of what you're actually signing and where the exposure sits.
Signing contracts with traps in them that only become visible six months into construction — after you've already mobilised.
Every change order reviewed for cost exposure, missing supporting documentation, unapproved scope additions, and items requiring owner sign-off — before it goes to billing. Know which COs have the documentation they need and which ones will get disputed at close-out before they become a collection problem.
Change orders that get disputed at close-out because the documentation wasn't there when it counted most.
Every action item, responsible party, deadline, and verbal commitment extracted from meeting notes and structured into a tracked record — nothing left undocumented. The commitments that disappear between the meeting and the follow-up are the ones nobody properly captured, and they're the ones that create disputes later.
Verbal commitments that disappear because nobody wrote them down properly, or did, but in a format nobody can find.
All inspection reports consolidated — duplicate items removed, open deficiencies tracked by trade, recurring patterns surfaced, and a complete close-out picture assembled without someone manually maintaining a master spreadsheet. A clear, current picture of what's outstanding and who owns it, without the hours of administrative work it currently requires.
Close-out delays caused by nobody having a complete, current picture of outstanding deficiencies across all trades.
An AI-powered takeoff and estimating engine that reads your blueprints, extracts quantities automatically, and prices them against live market data — integrated directly into your existing project management platform. No manual counting, no stale spreadsheet rates, no double entry. The number you bring to bid reflects what materials and labour actually cost on the day you submit.
The margin you lose on a bid is rarely from bad work — it's from material costs that moved between estimate and mobilisation, or quantities missed in a manual count. This closes both gaps, read by our own model on infrastructure we operate, or, on an enterprise integration, deployed into your own cloud tenant. No third-party AI vendor sees your project data either way.
Run your biggest pain point through the programs yourself, free, for a fortnight — unlimited, on your own files. Knowing what the AI already surfaces makes the scope conversation about the gap instead of the whole job.
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