Constructelligence
AI in construction · tools list

The best construction AI tools in 2026, by category

There are hundreds of products calling themselves construction AI. This list is the ones worth knowing in 2026, sorted by the job they do — because a takeoff tool, a safety camera and a contract reviewer have nothing in common except the label. For each: what it does, who it suits, and the one thing to check before you sign.

Updated · 12 minute read

Key takeaways
  • Sort construction AI tools by the question they answer — takeoff, schedule, progress, safety, documents, finance.
  • The cheapest start is the AI already inside the platform you run.
  • Every tool needs the right data: a current model, coded job cost, or cameras someone watches.
  • Trial on a past job with a known answer, and count the review time.

How this list works

Tools are grouped by the problem they solve, not ranked by score — the right tool for a 40-person electrical sub is the wrong one for a $2B data-center program. Each entry says what the vendor’s product does, the kind of contractor it suits, and the first thing to test in a trial.

We make Constructelligence, which appears once below and is marked as ours. We have no commercial relationship with any other vendor listed. Descriptions summarise each vendor’s own public material as of September 2026; features move quickly, so confirm current capabilities, pricing and data terms in a demo.

CategoryAnswersTools below
PlatformsWhat is happening across my projects?Procore Helix, Autodesk Forma
Estimating & takeoffWhat will this cost to build?Togal.AI, Beam AI, Kreo
SchedulingWhen will it really finish?ALICE Technologies, nPlan
Progress & reality captureWhat is actually installed?OpenSpace, Buildots, Doxel, DroneDeploy
SafetyWhere is someone about to get hurt?Oracle (Newmetrix), viAct
Documents & contractsWhat did we agree to?Document Crunch, Trunk Tools
Finance & forecastingIs this job making money?Constructelligence, Briq
RoboticsCan a machine do this task?Dusty Robotics, Canvas, Hilti Jaibot
General assistantsCan it draft this for me?ChatGPT, Claude, Microsoft 365 Copilot

Project platforms with AI built in

If you already run a project-management platform, its own AI features are the cheapest place to start: the data is already there.

Procore Helix

Platform AI

Procore’s intelligence layer across its platform: Procore Assist answers questions from specs, RFIs, submittals and project records, and Agent Builder lets teams create no-code AI agents for repetitive workflows.

ExampleA PM asks Assist which open RFIs affect the level 3 slab pour and gets the three RFIs, with links, in one answer.
Best for
Contractors already running projects in Procore.
Check
Which of your Procore tools and records Assist actually reads, and who can build and approve agents.

Autodesk Forma (formerly Autodesk Construction Cloud)

Platform AI

Autodesk’s construction platform includes Construction IQ, which scores and prioritises risk across issues, quality and safety records; AutoSpecs, which builds a submittal log from the spec book; and an assistant and project-data agent.

ExampleA project engineer runs AutoSpecs on a 900-page spec book and starts from a draft submittal log instead of a blank one.
Best for
Teams already on Autodesk Build and Forma Data Management (formerly Autodesk Docs).
Check
How much of your issue and checklist history is in Forma — Construction IQ ranks what it can see.

Estimating and takeoff

The most mature category: computer vision reading drawings to count and measure. See the AI estimating guide for how to test one.

Togal.AI

Takeoff

Detects, measures and labels spaces and features on floor plans automatically, so area and count takeoff starts from a first pass instead of a blank sheet.

ExampleAn interiors estimator gets room areas and partition lengths for a 40-sheet fit-out as a first pass, then checks and prices them.
Best for
Estimators doing a lot of area-driven takeoff: interiors, flooring, drywall, painting.
Check
Accuracy on your own drawing sets, especially revised and scanned sheets.

Beam AI

Takeoff service

Reads plans and specs and returns a trade takeoff, reviewed by the vendor’s QA team before delivery, as Excel and PDF.

ExampleA drywall sub sends a bid set on Monday and receives a reviewed quantity takeoff in Excel to price later in the week.
Best for
Subs and GCs who want takeoffs delivered rather than done in-house.
Check
Turnaround on a live bid, and how revisions are handled once the takeoff is delivered.

Kreo

Takeoff & estimating

Browser-based takeoff with AI-assisted measurement and estimating on 2D drawings.

ExampleA two-person estimating team measures a set of floor plans in the browser and prices the quantities in the same tool.
Best for
Smaller estimating teams that want takeoff and pricing in one tool.
Check
Whether its cost output maps to your cost codes and estimating format.

Scheduling and schedule risk

Two different ideas: generate better sequences, or forecast how likely the current one is. More in the AI scheduling guide.

ALICE Technologies

Generative scheduling

Simulates many alternative construction sequences from your model, crews and constraints to find faster or cheaper schedules before and during a project.

ExampleA GC compares crane, crew and sequence options for a hospital tower to see which one pulls the finish date in.
Best for
Large, complex programmes where resequencing is worth real money.
Check
How long it takes to build the model it needs, and who on your team maintains it.

nPlan

Schedule risk forecasting

Uses machine learning trained on a large library of past project schedules to forecast the likely outcome of yours and flag the activities that carry the risk.

ExampleAn owner’s team checks a contractor’s P6 baseline and sees a P80 finish six weeks later than the date on the programme.
Best for
Owners and contractors on long programmes with maintained P6 or MS Project schedules.
Check
Whether the forecast explains which activities drive the risk, not just a date.

Progress tracking and reality capture

Cameras and scanners that compare what is built with the plan. Safety and progress are covered together in the site monitoring guide.

OpenSpace

360° capture

360° cameras capture the site as someone walks it; images are mapped to the plans automatically, and its progress tracking measures installed work against the schedule.

ExampleA superintendent walks each floor with a 360° camera on Fridays; the office compares this week with last week on the plans.
Best for
GCs who want a searchable visual record of every floor, every week.
Check
Who walks the site, how often — and whether progress output feeds your schedule updates.

Buildots

Progress tracking

Hardhat-mounted 360° capture compared element by element against the BIM model and schedule, to report what is complete and where work is falling behind.

ExampleA project manager sees that level 5 drywall is 60% complete against a schedule that says 85%, a week before the pay app.
Best for
BIM-led commercial projects with a model that is kept current.
Check
Model quality — tracking against a stale model reports the wrong gaps.

Doxel

Progress tracking

Lidar and camera capture analysed by computer vision to measure installed quantities and track progress for earned-value style reporting.

ExampleA data-center team measures installed conduit and cable tray against the model to back up earned value in the monthly report.
Best for
Large, fast projects such as data centers and healthcare.
Check
How quantities reconcile with your pay applications and schedule of values.

DroneDeploy

Reality capture

Drone and ground capture turned into maps, models and progress views, with AI analysis on top.

ExampleA civil contractor flies the site weekly and tracks cut and fill volumes against the grading plan.
Best for
Sitework, civil and large horizontal projects.
Check
Flight rules on your sites and who processes the captures.

Safety

Oracle Construction Intelligence Cloud (Newmetrix)

Safety risk

Newmetrix, acquired by Oracle, analyses jobsite photos and project data with computer vision to flag safety risks, and is embedded in Oracle’s construction products.

ExampleA safety manager’s weekly photo uploads are scored for fall-protection and housekeeping risk before the site walk.
Best for
Contractors on Oracle Aconex or Primavera with a steady flow of site photos.
Check
False-positive rate on your photos, and who is expected to act on each flag.

viAct

Video safety

Computer-vision analytics on site cameras for PPE, exclusion zones, and plant–people proximity.

ExampleA fixed camera on a tower crane zone alerts when someone walks under a suspended load.
Best for
Large fixed sites with cameras already installed.
Check
Alert volume per camera per day, and how alerts are reviewed and closed.

Documents, contracts and RFIs

Large language models are strongest here: reading a lot of text and finding the relevant part. See the AI document review guide.

Document Crunch

Contract review

Reviews construction contracts and highlights key clauses, risk areas and obligations, so a PM can find what the contract says without reading it end to end.

ExampleBefore signing, a PM pulls every notice period, the LD rate and the pay-if-paid clause out of a 120-page subcontract.
Best for
GCs and subs signing many contracts with non-standard terms.
Check
Whether it cites the exact clause for every answer, and how it handles your standard exhibits.

Trunk Tools

Document agents

AI agents over project documents and drawings — answering field questions with cited sources, spotting drawing revisions, drafting RFIs and checking submittals against specs. Connects to Procore, Autodesk, SharePoint, Box, Egnyte and Dropbox.

ExampleA foreman texts a question about fire-stopping at a rated wall and gets the spec section and detail sheet as the answer.
Best for
Commercial GCs with heavy document sets across several systems.
Check
Answer citations on your own specs, and which folders it can and cannot see.

Finance, forecasting and construction intelligence

The category that tells you whether jobs are making money. It depends less on clever models and more on reading the ERP correctly.

Constructelligence (our product)

Construction intelligence

Reads your accounting, project, payroll and scheduling systems read-only and forecasts cost at completion, WIP and cash weekly, flagging jobs going over while they are still running. The forecasts are transparent statistics and rules you can trace to ledger rows, not a black-box model; an optional AI model reads hard documents.

ExampleA controller opens Monday’s view and sees Riverside forecast $580K over at 30% complete — with the ledger rows behind it.
Best for
Contractors whose ERP holds coded job cost and who want the answer before month-end.
Check
Try the public demo on the sample portfolio, then check the rows behind any figure.

Briq

Financial automation

Financial automation for contractors, with AI-based forecasting, search and workflow automation over construction financial data.

ExampleA finance team automates its weekly cash forecast from job cost instead of rebuilding it in a spreadsheet.
Best for
Finance teams automating forecasting and AP workflows.
Check
Which ERP it connects to for your company, and how forecasts are explained.

Robotics

Dusty Robotics

Layout

A robot that prints the building layout directly onto the slab from the digital model.

ExampleAn interior contractor prints partition layout on a 30,000 sq ft floor overnight instead of snapping lines by hand.
Best for
Interior trades and GCs doing repeated layout on large floor plates.
Check
Floor condition and how model changes reach the robot.

Canvas

Drywall finishing

A robotic system that sprays and finishes drywall compound.

ExampleA drywall contractor uses the robot for Level 4 finishing on long corridors while crews take the detail work.
Best for
Drywall contractors on large commercial interiors.
Check
Crew model and the finish levels it achieves on your specs.

Hilti Jaibot

Overhead drilling

A semi-autonomous robot that drills ceiling holes for MEP installation from BIM data.

ExampleAn MEP contractor drills hundreds of ceiling anchors from the BIM model on a repetitive office floor.
Best for
MEP contractors on repetitive overhead install.
Check
BIM readiness — it drills where the model says.

General AI assistants

ChatGPT, Claude, Microsoft 365 Copilot and Gemini are not construction products, but they are the AI most contractors actually use every day: drafting RFIs and letters, summarising meeting notes, rewriting scopes, explaining a clause. They know nothing about your jobs unless you paste it in — which is exactly where the risk is. The ChatGPT for construction guide has 30 prompts and the rules for what not to paste.

How to choose between them

  1. Start from the question, not the tool. Name the decision you want made faster — bid/no-bid, which job is going over, is this floor done.
  2. Check you have the data. A progress tool needs a current model; a forecasting tool needs coded job cost; a safety tool needs cameras and someone to act.
  3. Trial on your own history. Run it on a past job where you know the answer. The buyer’s guide has ten questions to ask any vendor.
  4. Count the review time. Every AI output needs a person to check it. Savings are what is left after the review.
CalculatorPilot scorecard: is this tool worth it?
The job to be donetakeoff · scheduleShortlisttwo or three toolsTestone finished jobMeasureagainst your own answerDecidebuy · pilot · waitTest on a job you have already finished, where you know the right answer.A tool that cannot reproduce your last takeoff will not do the next one.
The reliable way to buy AI in construction: start from the job to be done, test on a job whose answer you already know, and keep only what reproduces it.
Checklist
Construction AI tool shortlist in Excel, filled in with example rows — columns: Tool, Category, Question it answers, Data it needs, Do we have it?, Test job, Minutes by hand, Minutes with tool (incl. review)…
The construction ai tool shortlist as it opens in Excel: example rows in italics, calculated columns shaded.
Free template · Construction AI tool shortlist (Excel & CSV)An Excel workbook with drop-downs, validation and formulas built in — or the same columns as a CSV for Google Sheets and Numbers.
Download Excel (.xlsx)
What this template captures

Every tool on the shortlist with the question it answers, the data it needs and whether you hold it, and the result of a timed test on a real job — minutes by hand, minutes with the tool including review, errors — plus the data-terms check and the decision.

11 columns: 9 you fill in and 2 picked from drop-down lists, so every row uses the same values. In the Excel version, 3 columns reject entries of the wrong type (a date column only takes dates, an amount column only numbers), the header row stays frozen with filters on it, and the workbook opens on an Instructions sheet that lists every column below.

Every column, and how it is captured
ColumnTypeWhat goes in it
ToolTextFree text.
CategoryTextFree text.
Question it answersTextFree text.
Data it needsTextFree text.
Do we have it?Drop-downOptions: Yes / No.
Test jobTextFree text.
Minutes by handNumberEnter a number.
Minutes with tool (incl. review)NumberEnter a number.
ErrorsNumberEnter a number.
Data terms OK?Drop-downOptions: Yes / No.
DecisionTextFree text.

See it on real-looking numbers

Constructelligence is a construction intelligence platform: it reads your ERP, project and field systems read-only and does this arithmetic every week, for every job. The demo runs it on a sample eight-job portfolio.

Try the demoJoin the private beta

Frequently asked questions

What are the best AI tools for construction?

It depends on the job: Togal.AI, Beam AI and Kreo for takeoff; ALICE Technologies and nPlan for scheduling; OpenSpace, Buildots and Doxel for progress tracking; Document Crunch and Trunk Tools for contracts and documents; Procore Helix and Autodesk Forma inside those platforms; and construction intelligence platforms such as Constructelligence for job cost forecasting.

What is the most used AI in construction?

General assistants such as ChatGPT, Claude and Microsoft 365 Copilot are the most widely used, for drafting and summarising. Among construction-specific tools, AI takeoff and the AI features inside Procore and Autodesk are the most common because they sit where contractors already work.

Is AI in construction worth it for a small contractor?

Usually, if it targets a task you do every week. A small estimating team gains most from AI takeoff; a small GC from better job cost forecasting and document search. Trial on a past job and count the review time before paying for a year.

How do I evaluate a construction AI tool?

Run it on a past job where you already know the right answer, measure the time including review, check where your data is stored and whether it trains shared models, and confirm it connects to the systems you run today rather than on a roadmap.

CI
Written by the Constructelligence teamConstruction finance and software. Worked examples use the sample demo portfolio; formulas are standard practice. Reviewed September 2026.

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