AI preconstruction estimating

Win the bid with an estimate you can defend.

Upload your drawings or a scope — get a priced, source-cited estimate in minutes, in your market’s basis and currency. Every quantity traces to the drawing; every rate shows where it came from.

AI takeoff, a multi-region rate engine grounded in real public-project cost data, and pricing intelligence that learns from your own jobs.

Book a demoSee it work →
SAME ESTIMATE, FOUR MARKETS:
🔒app.estimatenext.ai/desk
⌘J Co-pilot
My DeskWELCOME BACK, DANA
⚡ TODAY’S INSIGHT
Good morning, Dana — 2 unread Win-IQ insights this morning will shape how you position across the 6 open pursuits. 14 active, no overdue dates: breathing room to be selective.
🏆 Open Win-IQ (2)✦ Ask Co-pilot
📊 PIPELINE VALUE
$1,143,940,416
14 active
🏆 WIN RATE (90D)
22%
5W · 18L · ↑0pp
% AVG MARGIN
12.5%
Last 90 days
⚡ BIDS 30D
7
Submitted / priced
💡 WIN-IQ INSIGHTS2
MIXEDCrestmont Developers — Bayfront Mile Hotel & Res…69% similar
MIXEDNorthbay University Block 9 — BSL-2 Wet Lab53% similar
The estimator’s week

Drawings land Monday. The GMP is due Friday.

And the number has to survive the CFO, the owner and the tender committee. Here’s what’s slowing you down.

01
Manual takeoff from PDFs
Days in Bluebeam tracing areas and counting symbols before a single number exists.
02
Stale, generic price books
Annual national-average data that never reflects this project, this city, or your past jobs. "The rates are guesses."
03
Every estimator prices differently
Each spreadsheet is its own; formulas break; version control is email. The same item, three numbers.
04
"Where did this rate come from?"
No provenance when the client or CFO pushes back. Indefensible at the review.
The rate-data moat

Living rates, not a generic price book.

EstimateNext prices against rates grounded in real public-project cost data — state-DOT awarded-bid histories, public government schedules of rates, and continuously-refreshed market benchmarks — normalised into one engine.

Every line is source-cited with a confidence badge, and the engine re-weights toward your actuals the more you estimate.

2,500+Real US state-DOT awarded-bid items across 10+ states
50,000+US unit-cost references across every CSI MasterFormat division
47US metro location factors (e.g. Bay Area 1.35×), auto-applied
Rate Analysis GLENMOOR COMMUNITY COLLEGE — DRAWING QTO
$4,325,606 analysed
DESCRIPTIONUNITRATESOURCESTATUS
Stud — 2×6 @ 16" o.c.sf7.21SOR● high
Sheathing — 5/8" plywoodsf3.48SOR● high
Concrete Slab — 6", 3000 psisf11.86Market⚠ 676% var
Footing — 24" × 12"lfMissing
Supply Pipe — PEX/CPVC/copperlf95.00Yours● high
Indicative rates — verify before tender · 1 row flagged for review
Glenmoor Community College — Priced Estimate
● Match● Price● Publish
452
TOTAL ROWS
452
PRICEABLE
440
MATCHED
12
NEEDS REVIEW
$4.33M
452 items
SECTION-WISE BREAKDOWN · CSI
03 · Structural$1,394,38032%
09 · Interior Finishes$624,42014%
22 · Plumbing$587,49214%
26 · Electrical$205,9335%
23 · HVAC$151,0863%
Upload → priced in minutes

Drawings or Excel in. A structured, priced estimate out.

Drag in a drawing set or an Excel/PDF estimate. AI parses it into collapsible CSI MasterFormat divisions, prices every line, and keeps the totals live. Change one input and the whole estimate recomputes.

  • Multi-pass vision takeoff: areas, counts, lengths
  • Unmatched lines flagged for review, not buried
  • Donut + division breakdown the moment it’s priced
Defensible rate build-ups

Show your work — down to the coefficient.

Every line opens to its glass-box build-up: Materials, Labour and Equipment coefficients resolve to a unit rate, then Overhead & Profit — with the methodology and "where this rate came from" on the page.

When the client pushes back, the answer is already in the estimate.

Concrete Slab — 6", 3000 psi · CSI 03 30 00IN BAND
MATERIALS3000-psi mix · rebar · vapour barrier0.62 / sf$6.40
LABOURPlace, finish, cure — crew C-80.018 hr/sf$3.10
EQUIPMENTPump, power trowel, vibratorallocated$0.86
Unit rate + O&P (15%)$11.86 / sf
WHERE THIS RATE CAME FROM
Benchmarked against CA public-agency awarded bids + Bay Area location factor (1.35×). Confidence: high.
Specialist trade tools

Code-aware tools generic takeoff doesn’t have.

Explore all seven tools →
❄️
HVAC Specialty
Cooling/heating load compute, duct sizing, BMS points — autofilled from scope.
Electrical Specialty
Electrical scope quantity & cost build-up.
🚿
Plumbing Specialty
Plumbing scope quantity & cost build-up.
🔥
Fire Protection
Sprinkler & fire scope build-up.
🏗️
Civil Specialty
Civil & sitework quantity and cost build-up.
🪑
Fit-Out Designer
Interior fit-out target-cost + FF&E build-up.
👷
Labour Factoring
Crew/productivity factoring → regional labour cost.
SCOPE-AWARE
Each tool unlocks only when its trade scope is detected on the project. No HVAC scope, no HVAC tool.
Built for your market

One engine. Four markets. The same estimate, re-expressed.

CSI MasterFormat to NRM2 to CPWD-DSR to FIDIC — $ to £ to ₹ to AED. Switch the basis; the estimate follows.

PROJECT TOTAL · indicative
DESCRIPTIONQTYUNITRATEAMOUNT
Bid & pursuit intelligence

Level sub quotes apart. Turn a loss into your next-bid strategy.

HEADLINE WIN RATEOK SIGNAL
10%
by count over last 730 days
WON VALUE
$445,000,000
BID VALUE
$2,409,200,000
You win 10% of pursuits. Losses driven mostly by price positioning — Win-IQ flagged a markup band to test on the next three bids.
WIN-IQ · pursuit intelligence
Bid Leveling Worksheet
MEP BID PACKAGE — 14 SCOPE ITEMS × 2 VENDORS
🏆 RECOMMENDEDMEDIUM CONFIDENCE
Meridian Mechanical & Electrical
97.2/ 100 compositeLOWEST LEVELED
Lowest cost, quoted every line in scope, zero spec deviations. Chief risk: 50-day quote validity — confirm rates hold.
Runner-up: Coastline Building Systems — $608,830, score 41.7
AI co-pilot · ⌘J

Ask the estimate anything.

A grounded assistant on every page, with tools over your projects, rates, contractors and history. Ask in plain English; it runs the estimating workflow with you and deep-links every source.

Review-and-approve, not autopilot — you stay in control of the number.

Co-pilot
Context: Win IQ
What’s our markup sweet spot for healthcare pursuits?
The data’s thin — zero healthcare bids on record, so there’s no sector-specific markup to cite. Honest recommendation: start from your cross-sector sweet spot (7.0% band, ~12.5% win rate) as a baseline, then log this pursuit so Win-IQ starts building the healthcare dataset.
get_markup_sweet_spotfind_similar_past_bids
Ask anything, or drop a PDF…
How we compare

Every rival owns a slice. None spans the row.

See the full comparison →
CAPABILITYEstimateNextTogalEdiphiCostXRSMeans
AI takeoff from PDFsrents Togalmanual
Rate build-up / estimatingdata only
Multi-region (US·UK·IN·GCC)partialUS only
Source-cited AI matching
Structural QTO / BBSBIM
Bid levelingpartial
How it works

From drawings to a defensible estimate, in three steps.

STEP 01
Upload
Drag in a drawing set or an Excel/PDF estimate. AI takeoff reads quantities; you review and adjust.
STEP 02
Match & build up
Every line matched to a source-cited rate with a confidence badge, then a material/labour/equipment build-up + O&P.
STEP 03
Export a defensible estimate
Owner-ready GMP package — CSI divisions, AIA G702/G703 — plus XLSX. Every assumption on the page.
Book a demo

Talk to us

Book a demo and we’ll price one of your real drawing sets, live.