Top 10: AI Tools in Construction

AI tools built specifically for construction are now deployed across every phase of a project, with measurable results in programme delivery, safety performance and risk management.

Where the industry once relied on manual processes and reactive problem-solving, machine learning and computer vision are replacing workflows that have barely changed in decades.

The pace of adoption is accelerating. According to a 2025 report by BuildOps, a construction management software provider, 78% of contractors are already using or testing AI tools.

These are the 10 AI tools doing the most to change how the world builds

10. Document Crunch

Founded: 2019
Headquarters: Alpharetta, US
CEO: Josh Levy
Employees: ~100
Key product: AI contract risk analysis

Document Crunch applies AI to one of construction's most time-consuming tasks: reading contracts.

Its platform analyses project documents to identify risk clauses, compliance requirements and obligations, giving project teams a faster route through the paperwork that precedes every build.

The tool is designed to flag issues at the bid pursuit stage before they become costly problems in execution. By surfacing contract risk early, Document Crunch helps construction firms make more informed decisions about which projects to take on and on what terms. 

The platform has found particular traction among general contractors managing large volumes of subcontractor agreements across multiple projects simultaneously.

9. Togal.AI

Founded: 2019
Headquarters: Miami, US
CEO: Patrick Murphy
Employees: ~100
Key product: AI takeoff and estimating

Togal.AI targets the estimating process, using deep learning to automatically detect, measure and label project spaces and features directly from construction drawings. What traditionally takes estimators hours of manual takeoff work can be completed in seconds.

The platform claims 98% accuracy on floor plan takeoffs at five times the speed of manual methods. For contractors preparing multiple bids simultaneously, that time saving is amplified.

Togal.AI reported 333% revenue growth in 2025, suggesting the estimating automation market is maturing faster than many expected.

8. Oracle Construction and Engineering Advisor for Safety

Founded: 1977
Headquarters: Austin, US
CEO: Clay Magouyrk and Mike Sicilia
Employees: ~159,000
Key product: AI predictive safety platform

Oracle launched its Construction and Engineering Advisor for Safety in March 2026, bringing AI safety prediction to the construction sector at enterprise scale.

The platform analyses safety observations, incident reports, payroll data and project schedules to generate weekly risk forecasts identifying which projects are most likely to experience incidents.

The AI model was trained on data representing more than 10,000 project-years, meaning contractors can deploy predictive safety capabilities without first building models from their own data.

Its early adopters include Suffolk Construction and The Boldt Company.

7. Dusty Robotics

Founded: 2018
Headquarters: Mountain View, US
CEO: Tessa Lau
Employees: ~60
Key product: AI layout robot (FieldPrinter)

Dusty Robotics builds AI-powered layout robots that print digital BIM plans directly onto construction floors. 

Its flagship product, the FieldPrinter, takes a BIM model and uses it to mark walls, doors, hangers and sleeves at full scale on concrete slabs with 1/16 inch accuracy.

The technology eliminates the manual layout process entirely, replacing a task that traditionally required a crew a week with one that takes a day or two. 

Leading contractors including DPR, McCarthy and Skanska have deployed FieldPrinter across healthcare, industrial and commercial builds, with Dusty Robotics reporting it has printed more than 100 million square feet of layout to date.

6. nPlan

Founded: 2017
Headquarters: London, UK
CEO: Dev Amratia
Employees: ~47
Key product: AI schedule risk analysis

nPlan applies machine learning to construction schedule risk. It trains its models on a dataset of 750,000 historical project schedules representing more than US$2tn of construction spend, according to nPlan. 

The platform forecasts project outcomes and identifies risk before it compounds into delays.

Where traditional schedule review relies on human judgment, nPlan's AI identifies patterns from past projects that signal risk in current ones. The platform is used by major tier one contractors and infrastructure owners to stress-test programmes before they go live. 

Its AI assistant Barry allows project control teams to query schedules in natural language, making the insight accessible beyond specialist planners.

5. Doxel

Founded: 2016
Headquarters: Menlo Park, US
CEO: Saurabh Ladha
Employees: ~121
Key product: LiDAR and computer vision progress tracking

Doxel combines LiDAR scanning, autonomous robots and computer vision to give construction teams real-time feedback on cost, progress and productivity. 

Its platform scans job sites and compares the resulting data against the BIM model and the project schedule, showing exactly what has been installed, at what rate and what that means for delivery.

The system has been deployed on major data centre builds in Virginia by Corscale, where it helped teams adjust crews and catch schedule slips before they escalated. 

On one healthcare project, Doxel flagged a slowdown in wall framing early enough for the contractor to bring in a second crew and avoid a three-week delay. The platform's ability to catch deviation before rework becomes necessary is its primary value proposition for large capital projects.

4. Buildots

Founded: 2018
Headquarters: Tel Aviv, Israel
CEO: Roy Danon
Employees: ~300
Key product: Helmet-mounted AI progress tracking

Buildots tracks construction progress using AI and computer vision applied to footage captured by 360-degree cameras mounted on site managers' hard hats. 

As managers move through a site during normal inspections, the system automatically records conditions and compares them against the BIM model across more than 80 construction stages.

The platform forecasts delays before they compound and allows project teams to query site status through a chatbot interface. UK contractor Sir Robert McAlpine deployed Buildots across more than 260,000 square metres of live projects, using it for billing verification and quality assurance as well as progress tracking. 

Clients include Intel and around 50 construction firms globally. Buildots raised US$45m in a Series D round in 2025 to expand its AI platform further.

3. ALICE Technologies

Founded: 2015
Headquarters: Menlo Park, US
CEO: René Morkos
Employees: ~85
Key product: AI construction simulation and scheduling

ALICE Technologies was founded on research from Stanford University and has developed what it describes as the world's first AI-powered construction simulation platform. 

Its system analyses a project's building requirements, generates optimised construction schedules and revises those schedules dynamically as conditions on site change.

The platform is used by general contractors, owners and consultants managing large and complex capital projects across infrastructure, industrial facilities and general building. 

ALICE has raised US$65.8m to date, with investors including Bouygues, reflecting interest from major construction groups in AI-driven scheduling. 

Independent analysis suggests the platform can reduce project duration by an average of 17% and labour costs by 14%, making it particularly valuable on projects where efficient resource sequencing has an outsized impact on delivery timelines and margins.

2. OpenSpace

Founded: 2017
Headquarters: San Francisco, US
CEO: Jeevan Kalanithi
Employees: ~365
Key product: Visual intelligence platform

OpenSpace has built one of the most widely deployed visual intelligence platforms in construction, with its 360-degree reality capture technology now active across more than 95,000 projects globally and more than 1,000 data centre builds alone. 

Its system uses hardhat-mounted cameras to capture continuous site footage, which is then processed by AI to track progress, flag deviations and support decision-making across the project lifecycle.

In October 2025, OpenSpace acquired Disperse, a UK-based construction progress tracking platform, deepening its capability in visual AI and extending its European footprint. 

The combined platform gives owners and contractors a single system for jobsite intelligence from preconstruction through to handover. OpenSpace has raised US$199m to date and achieved FedRAMP authorisation in 2025, opening the door to US federal construction projects. 

Its rapid adoption across hyperscale data centre construction reflects the platform's growing role as critical infrastructure for the AI buildout.

1. Procore

Founded: 2002
Headquarters: Carpinteria, US
CEO: Ajei Gopal
Employees: 4,421
Key product: AI-enhanced construction management platform

Procore is the dominant platform in construction management software, with a suite of AI tools now embedded across its entire project lifecycle offering. 

Its Construction IQ engine delivers risk insights and predictive analytics across document logs, using machine learning to identify patterns that signal project risk before they surface as issues on site.

The company generated US$359m in revenue in Q1 2026 alone, a 16% year-on-year increase, and serves 17,850 customers globally with 78% using four or more of its products. 

In late 2025, Procore appointed Ajei Gopal as CEO, who has moved quickly to accelerate the company's agentic AI capabilities. Procore acquired Datagrid in early 2026 to strengthen its AI data integration and has a strategic collaboration with AWS to advance AI across the construction lifecycle. 

With more than two decades of construction data underpinning its models, Procore's AI tools carry a depth of training that newer entrants to the market cannot yet match, making it the benchmark platform against which the rest of the construction AI sector is measured.