The construction industry is evolving fast, and artificial intelligence (AI) is leading the charge. According to Fortune Business Insights, The global AI in construction market is expected to jump from $4.86 billion in 2025 to $22.68 billion by 2032—growing at a fast 24.6% each year. From automating time-consuming tasks to improving jobsite safety, AI construction companies are transforming industry projects in 2025.
Unlike traditional software vendors, these startups are building tools with AI baked into their DNA. They’re redefining workflows across estimating, scheduling, safety, and design. As a result, forward-thinking contractors and AEC firms are gaining a competitive edge by adopting AI solutions from AI construction companies that help them work smarter, faster, and safer.
In this blog, we’ll highlight the most innovative AI construction companies, the top construction software companies adding AI into their platforms, and real-world examples of AI in action on jobsites. Let’s find out which AI construction companies are changing the game in 2025.
How AI Construction Companies Are Transforming the Industry
Construction AI companies are offering new tools and rethinking how the built environment delivers. These startups integrate artificial intelligence into the foundation of their platforms, using machine learning, computer vision, and predictive analytics to solve real jobsite challenges.
In 2025, the most disruptive players are helping construction firms minimize risk, reduce rework, and improve productivity by automating decisions and uncovering real-time insights. These AI construction companies often focus on a single pain point—like estimating or scheduling—and apply AI to make that process dramatically faster and more accurate.
What sets them apart is their AI-first mindset. While traditional platforms add AI, these AI construction companies are built around it. And that’s why they’re gaining traction across AEC firms looking to future-proof their workflows.
Types of Construction AI Tools and Software
AI in construction isn’t one-size-fits-all. It includes everything from AI that helps estimate costs to computer vision that spots safety hazards on the spot.
Here are the most impactful types of AI construction software making waves in 2025.
AI for Construction Project Management
AI-powered project management tools help teams stay on schedule and under budget by streamlining decision-making and forecasting.
Here’s how they work:
- Analyze historical project data and current site conditions
- Predict potential delays before they happen
- Optimize workflows to reduce bottlenecks
- Suggest real-time adjustments based on live inputs
- Simulate thousands of scheduling scenarios using generative AI
- Recommend the most efficient construction path
Example: Platforms like ALICE Technologies use AI to generate optimal construction sequences, helping project managers make faster, smarter decisions under pressure.
AI Tools for Construction Safety and Risk Assessment
AI is reshaping safety protocols by helping teams identify and mitigate hazards before they escalate.
These tools:
- Use computer vision to detect PPE violations and unsafe behaviors
- Analyze jobsite photos and videos for real-time risk identification
- Monitor environmental conditions like weather or site congestion
- Predict accident-prone activities based on historical data
- Provide automated safety reports and recommendations
Example: Smartvid.io flags high-risk behaviors and creates a “safety score” for proactive site management.
AI Platforms for Construction Predictive Maintenance
Equipment breakdowns cause delays, and downtime gets expensive fast.
AI helps keep machines running by:
- Monitoring sensor data from equipment in real time
- Detecting early signs of wear and malfunction
- Forecasting maintenance needs before breakdowns occur
- Extending equipment lifespan through timely service alerts
- Minimizing costly downtime and repair expenses
Example: Tools like Everguard.ai use predictive analytics to keep crews and machinery operating efficiently.
AI for Estimating and Bidding in Construction
AI is turning one of the most time-intensive tasks—estimating—into a smarter, faster process.
These AI platforms:
- Scan drawings and blueprints to extract key details
- Analyze historical cost data to generate accurate estimates
- Benchmark prices across past projects or regions
- Flag potential cost overruns or scope gaps
- Help create competitive, confident bids in less time
Example: AI-enabled estimating tools reduce manual takeoffs and improve bid win rates.
AI for Construction Scheduling and Logistics
When unexpected changes happen, AI-driven scheduling tools keep projects on track by dynamically adapting to changing conditions. Whether delayed materials or a last-minute weather shift, these tools reoptimize the project timeline in real time.
These systems:
- Continuously update timelines as project conditions evolve
- Reoptimize schedules based on delays or resource shifts
- Sync with logistics data to ensure material deliveries stay aligned
- Anticipate bottlenecks before they disrupt progress
- Coordinate labor, materials, and equipment in real time
Example: AI-powered logistics platforms improve just-in-time delivery, reducing storage costs and delays.
AI in Robotics and Automation
AI isn’t just science fiction—it’s hitting the jobsite too, powering real-world automation.
For example, AI robotics systems:
- Perform repetitive tasks like layout printing, bricklaying, or welding
- Learn from each job to improve speed and precision over time
- Increase accuracy and reduce human error
- Lower labor costs while supporting workforce safety
- Enable 24/7 operation on key tasks
Example: Dusty Robotics automates floor layout with millimeter precision, cutting hours of manual work.
AI for Construction Site Monitoring and Drones
AI-powered drones give project teams a bird’s-eye view of jobsite performance and changing how sites are monitored.
These tools:
- Capture aerial imagery to monitor progress and equipment
- Detect deviations from plans or models in real time
- Compare site visuals with BIM or schedules to spot delays
- Help track materials, deliveries, and safety compliance
- Generate detailed site maps and reports without manual input
Example: AI-driven drone software flags layout mismatches early, before they become costly rework.
Top 35 AI Construction Companies in 2025
These AI-native startups are redefining construction workflows—from estimating and scheduling to robotics and procurement. Here are the standout AI construction companies leading the charge in 2025:
1. Buildots
- Location: Israel
- Funding: $121M (Intel Capital-led)
- AI Focus: Progress tracking via computer vision
- Notable Clients: Intel, JE Dunn, Kier
Buildots helps construction teams reduce delays by up to 50% using AI-powered site monitoring. This AI construction company compares 360° site imagery with the project schedule and BIM model, automatically flagging discrepancies and tracking progress.
Buildots helps teams make sense of the chaos on site. Crews wear 360° cameras to capture daily progress, and the system automatically compares that footage to the project schedule—no manual checklists or reports needed.
It’s a practical way to spot delays, track subcontractor performance, and share visual updates without the extra admin. More GCs are starting to use it for real-time visibility into what’s happening on site, and what’s falling behind.
Pros
- Seamless integration with leading BIM tools
- Automated progress tracking saves hours of manual input
- Visual dashboards make project status easy to understand
- Improves collaboration across field and office teams
- Trusted by major global contractors
Cons
- Initial setup may require camera training and site adaptation
- Best suited for medium to large projects with complex scheduling
- May involve upfront investment in compatible camera equipment
- Less customizable for teams that don’t follow standard workflows
2. Togal.AI
- Location: USA
- Funding: Undisclosed
- AI Focus: Automated takeoffs and estimating
Togal.AI is reinventing the estimating process by using AI to automate takeoffs from construction drawings. Instead of spending hours manually measuring spaces and labeling elements, estimators can upload plans and get instant quantity breakdowns, cutting preconstruction time by up to 80%.
Built by industry veterans and backed by Coastal Construction, Togal.AI reads architectural plans using deep learning, then classifies, quantifies, and organizes data for fast, reliable estimates.
Additionally, the AI construction company integrates with other construction management tools, easily pushing data directly into bid proposals. As the pressure to bid faster and more accurately increases, Togal.AI is quickly becoming a competitive edge for forward-thinking contractors.
Pros
- Cuts takeoff time from hours to minutes
- Learns from user corrections to improve over time
- Supports multiple file formats and integrations
- Built specifically for construction estimators
- Backed by a major contractor, ensuring industry relevance
Cons
- Lacks public pricing transparency
- May be overpowered for small-scale residential contractors
- Some manual review is still needed for complex plan sets
- AI model may require fine-tuning on highly customized projects
3. Disperse.io
- Location: UK
- Funding: $32.7M
- AI Focus: Site productivity and issue detection
Disperse.io combines 360° site capture with AI-powered analytics to streamline project tracking and flag productivity issues early. Users walk the site with a camera, and Disperse automatically maps photos to floor plans, identifies discrepancies, and reports on task progress.
Moreover, Disperse reduces reliance on manual site walkthroughs and subjective reporting by automating photo documentation and progress validation. Its AI engine compares captured data with planned schedules and can spot missing materials, incomplete work, or out-of-sequence tasks. This helps contractors keep jobs on time and teams accountable.
Pros
- Automates site documentation with minimal effort
- AI detects productivity issues without manual input
- Integrates with schedules and floor plans
- Reduces time spent on quality and progress checks
- Supports remote project visibility for distributed teams
Cons
- Requires consistent on-site photo capture
- Not ideal for firms with limited digital adoption
- No public client list or case studies
- May take time for teams to trust automated insights
4. ALICE Technologies
- Location: USA
- AI Focus: Construction schedule optimization
ALICE Technologies helps contractors generate and test thousands of project schedules automatically. Its generative AI simulates different sequencing options, allowing teams to choose the fastest, cheapest, or least risky path forward.
Specifically for complex construction projects, ALICE acts as a “construction simulator,” analyzing constraints like crew availability, material delivery, and task dependencies. Contractors who use ALICE early in planning can shorten project timelines and boost resource efficiency—no Gantt charts required.
Pros
- Generates multiple schedule options in minutes
- Helps identify the most efficient construction path
- Useful for both planning and change management
- Makes trade-offs between cost, speed, and risk visible
- Adds clarity to project phasing for all stakeholders
Cons
- Best suited for large or complex builds
- Requires time upfront to input project variables
- AI results can overwhelm teams unfamiliar with simulations
- Limited client success stories are publicly available
5. OpenSpace
- Location: USA
- AI Focus: Reality capture and site documentation
- Notable Clients: DPR Construction, Clayco, JLL
OpenSpace simplifies site documentation through hands-free 360° video capture and AI-powered processing. The platform maps images to floor plans and creates a full, tagged, dated, and searchable visual record as a user walks the jobsite.
Additionally, its proprietary “Vision Engine” processes footage rapidly, turning it into actionable insights that teams can use to track progress, verify work, or coordinate remotely. With integrations into Procore, BIM 360, and more, OpenSpace makes visual documentation a seamless part of the project lifecycle.
Pros
- Fast, automated documentation with minimal training
- Syncs visuals to floor plans for intuitive tracking
- Helps settle disputes with time-stamped image history
- Integrates with top project management tools
- Enables remote visibility for stakeholders
Cons
- Requires consistent video capture walks
- May struggle in poor lighting or fast-changing environments
- Image-heavy platform can be storage-intensive
- Limited analytical features beyond documentation
6. Dusty Robotics
- Location: USA
- AI Focus: Robotic layout and BIM-to-field automation
Dusty Robotics brings automation directly to the field by printing digital floor plans on concrete slabs with millimeter precision. Instead of relying on tape measures and chalk lines, teams can use Dusty’s FieldPrinter to deliver fast, accurate layouts synced with the BIM model.
Furthermore, Dusty helps reduce rework, increase speed, and eliminate layout errors—especially in complex commercial projects. The system learns over time, improving accuracy with each print and streamlining collaboration between design and field teams.
Pros
- Significantly reduces layout errors and rework
- Improves coordination between design and field crews
- Faster setup compared to manual layout
- Syncs with digital models (BIM) for full alignment
- Enhances quality assurance in early construction phases
Cons
- Requires on-site training and calibration
- Upfront equipment investment is needed
- Best suited for commercial or large-scale builds
- May be overkill for small projects or simple layouts
7. Kwant.ai
- Location: USA
- AI Focus: Safety and productivity analytics
Kwant.ai combines IoT sensors and AI to track workforce activity, equipment usage, and safety events. Wearable devices and mobile apps collect data on movement, proximity, and incidents, feeding it into a dashboard that reveals patterns and risk areas.
Contractors use Kwant to optimize labor deployment, prevent accidents, and respond faster when issues arise. It’s useful for large, fast-moving sites where manual tracking falls short.
Pros
- Real-time safety alerts and heatmaps
- Enhances labor planning with productivity analytics
- Helps ensure PPE compliance and zone restrictions
- Integrates with major construction platforms
- Reduces incident response time
Cons
- Requires investment in wearable tech or sensors
- Dependent on Wi-Fi or strong cellular connectivity
- May raise privacy concerns among workers
- Limited visibility in low-adoption environments
8. Versatile
- Location: USA
- AI Focus: Crane and equipment monitoring
Versatile’s CraneView hardware attaches to lifting equipment and collects real-time data on every lift. Paired with AI analytics, it gives superintendents and project managers detailed insights into productivity, safety, and equipment usage.
Additionally, Versatile makes cranes smarter, giving teams real-time data to improve workflows and keep things moving. It’s a game changer for vertical builds and material-heavy jobs.
Pros
- Real-time data on crane performance and site activity
- Helps optimize daily workflows and crew coordination
- Improves jobsite safety and accountability
- Easy-to-install hardware with instant data feed
- Supports lean construction practices
Cons
- Geared toward sites with heavy crane use
- Requires buy-in from field crews for consistent use
- May be cost-prohibitive for smaller firms
- Best for larger commercial or high-rise projects
9. Built Robotics
- Location: USA
- Funding: $112M
- AI Focus: Autonomous heavy equipment
Built Robotics transforms standard construction equipment—like excavators and dozers—into autonomous robots that can dig, grade, and move earth with minimal human input. The system retrofits existing machines with sensors, GPS, and AI-driven control systems.
Focused on infrastructure and energy projects, Built Robotics addresses the labor shortage by enabling machines to work 24/7, reducing the need for operators in remote or hazardous locations.
Pros
- Retrofits standard equipment into autonomous systems
- Reduces labor needs on remote or repetitive tasks
- Increases efficiency and runtime
- Ideal for infrastructure and renewable energy projects
- Helps close the skilled operator gap
Cons
- Requires capital investment and equipment compatibility
- Limited to certain machinery types
- May face resistance from traditional operators
- Still requires supervision and safety monitoring
10. Scalera.ai
- Location: Switzerland
- Funding: $6.5M
- AI Focus: Procurement automation
- Notable Clients: Butti, Marti Tunnel AG
Scalera.ai automates the complex and time-consuming procurement process in construction. Extracting and organizing material requirements from project documents streamlines supplier coordination and purchasing decisions with minimal manual input.
Additionally, Scalera’s AI-powered categorization and package matching help reduce procurement delays and cost overruns. It’s particularly effective for large AI infrastructure companies and tunneling projects where material planning is critical.
Pros
- Automatically identifies and groups material packages
- Improves accuracy in procurement planning
- Speeds up tendering and purchasing workflows
- Reduces miscommunication with suppliers
- Great fit for infrastructure and heavy civil projects
Cons
- Niche focus on procurement limits broader use
- Works best when project documentation is standardized
- Smaller contractors may not need full feature set
- Early-stage platform with limited third-party integrations
11. Document Crunch
- Location: USA
- AI Focus: Contract analysis
Document Crunch uses natural language processing to review construction contracts and flag risky clauses, missing terms, and compliance issues. It helps project managers, legal teams, and subcontractors reduce risk and save time when reviewing complex documents.
Moreover, the platform includes pre-loaded industry standards and training modules, making contract language more accessible for non-legal users. This reduces reliance on attorneys for basic redlining and improves contract literacy across teams.
Pros
- Flags legal risks and redlines contracts instantly
- Built for the construction industry specifically
- Simplifies contracts for non-legal professionals
- Reduces review time and risk exposure
- Can train teams to spot issues on their own
Cons
- Doesn’t replace a full legal review for major contracts
- Effectiveness depends on contract formatting
- May not catch all nuances in highly complex agreements
- Less relevant for contractors who outsource all legal work
12. BeamUP
- Location: Israel (with offices in the UK and US)
- AI Focus: AI-powered digital twins for facility intelligence and lifecycle management
- Funding: $15M seed round led by StageOne Ventures and Ibex Investors
- Notable Clients: Fortune 100 enterprises across healthcare, finance, and technology sectors
BeamUP creates intelligent digital twins of enterprise facilities. It digitizes and centralizes data from building systems—like security, IT, IoT, and HVAC—so organizations can automate design, stay compliant, and run facilities more efficiently.
This holistic approach reduces manual errors, enhances security, and supports sustainable infrastructure management.
Pros
- Automates the design and management of complex building systems
- Enhances compliance and security through centralized data analysis
- Reduces operational costs and design time significantly
- Provides actionable insights for long-term asset planning
- Trusted by major enterprises for managing global facility portfolios
Cons
- Requires accurate and up-to-date facility data for optimal performance
- Best suited for large-scale, enterprise-level implementations
- Initial onboarding and integration may require substantial effort
- May be less applicable for short-term or small-scale construction projects
13. Attentive.ai
- Location: USA
- Funding: $19M
- AI Focus: Automated measurements for landscaping and site
Attentive.ai automates property measurements for landscaping, paving, and snow removal contractors. Aerial imagery and site plans analysis provide instant measurements for bids. This eliminates the need for manual site visits.
Contractors use Attentive to reduce proposal turnaround time, avoid measurement errors, and win more jobs. Its focus on exterior work positions it as a strong tool for service contractors managing high-volume site assessments.
Pros
- Delivers instant, accurate site measurements
- Saves time on site visits and manual takeoffs
- Optimized for landscaping, paving, and snow sectors
- Simple interface for field teams
- Helps speed up quoting and sales
Cons
- For exterior contractors, less useful for builders
- Dependent on aerial data availability
- Accuracy may vary in dense or tree-covered areas
- Still maturing compared to vertical construction platforms
14. Civils.ai
- Location: UK
- AI Focus: Civil engineering document management
Civils.ai helps civil engineers extract and organize data from massive volumes of project documents, like PDFs, specifications, and reports. Instead of digging through hundreds of files manually, users can query documents and find relevant insights instantly using AI.
Moreover, Civils.ai accelerates decision-making and reduces the risk of overlooking key details by acting as a searchable “brain” for engineering documentation. It’s useful for infrastructure and transportation projects with complex compliance requirements.
Pros
- AI-powered search across thousands of project files
- Speeds up research and compliance checks
- Improves transparency for technical teams
- Reduces time wasted digging through PDFs
- Tailored for civil and infrastructure professionals
Cons
- Still evolving—UI and speed may vary
- Relies on high-quality source documents
- Not built for visual data like drawings or models
- Limited integrations at this stage
15. Kreo Software
- Location: UK
- AI Focus: Takeoff and estimating automation
Kreo delivers AI-powered takeoff and estimating software to speed up preconstruction workflows. The AI platform analyzes 2D drawings and generates accurate quantity takeoffs in minutes, cutting down time from hours or days.
Contractors, estimators, and developers use Kreo to reduce human error, standardize pricing, and free up more time for value-added tasks like bid strategy. It also integrates with Microsoft Excel and popular CDEs, making it easy to fit into existing workflows.
Pros
- Fast, automated takeoffs from 2D drawings
- Works across multiple construction verticals
- Reduces the risk of manual error in estimates
- Excel-friendly for seamless data transfer
- Improves early project budgeting
Cons
- Doesn’t yet support 3D models or BIM input
- May require formatting cleanup on input drawings
- Best suited for general contractors or cost consultants
- Lacks full project management functionality
16. AI Clearing
- Location: Poland
- AI Focus: Progress tracking and data validation
AI Clearing’s drone imagery, satellite data, and construction schedules track progress automatically, especially on large-scale infrastructure projects. The platform uses AI to validate real-world progress against plans, highlighting where projects are ahead, behind, or out of spec.
It’s particularly valuable for remote, multi-site projects where manual tracking is difficult. AI Clearing removes the guesswork from field reports, making it easier to improve transparency and speed up draw requests and stakeholder updates.
Pros
- Uses satellite and drone data for high-volume tracking
- Aligns progress with plans using AI
- Ideal for energy, transportation, and civil projects
- Helps with reporting and financing documentation
- No need for boots on the ground daily
Cons
- Heavy data workflows may require training
- Not ideal for vertical construction or interiors
- Depends on integration with drones or external data sources
- Limited design collaboration features
17. BotBuilt
- Location: USA
- AI Focus: Robotic framing and prefabrication
BotBuilt builds robotic systems that frame wood structures off-site using AI-driven automation. The goal: eliminate repetitive labor, reduce errors, and bring speed and precision to the framing process, particularly for single-family and modular housing projects.
BotBuilt shortens production timelines and lowers reliance on skilled labor by combining robotics with data from construction drawings. It also enhances consistency in structural components, leading to better builds with fewer callbacks.
Pros
- Automates a major labor-intensive task
- Increases speed and consistency in framing
- For off-site and modular workflows
- Reduces material waste and human error
- Addresses labor shortages in residential construction
Cons
- Requires upfront investment in robotic infrastructure
- Primarily suited for wood-frame construction
- Limited on-site use (mostly factory-based)
- May not scale easily for commercial projects
18. BuildPrompt
- Location: UK
- AI Focus: AI-powered document analysis and workflow automation for the construction industry
- Notable Clients: Tier 1 UK contractors, Fortune 500 companies
BuildPrompt uses AI to simplify document management and speed up workflows for construction teams. It enables users to extract critical information from various document formats, including PDFs, Word files, and images, transforming unstructured data into actionable insights.
Moreover, BuildPrompt automates compliance checks and contract reviews to reduce manual work, cut down on errors, and support smarter decision-making. The platform’s capabilities include dynamic data extraction, intelligent prompting, and multimodal vision, allowing for efficient processing of complex datasets.
Pros
- Automatically pulls out key info from all kinds of documents
- Enhances compliance and risk management through intelligent prompting
- Supports over 50 languages, facilitating global collaboration
- Offers scalable solutions suitable for both small firms and large enterprises
- Prioritizes data security with enterprise-grade encryption and compliance standards
Cons
- Effectiveness depends on the quality and structure of input documents
- Initial setup and onboarding may require time and training
- Primary focus on document analysis; may need integration with other project management tools for comprehensive solutions
- May not be necessary for smaller firms with minimal paperwork
19. Wenti Labs
- Location: Singapore
- AI Focus: AI copilots for construction teams
- Notable Clients: Early adopters in Singapore and expanding globally
Wenti Labs is developing an AI copilot to assist construction teams with everyday decision-making. The platform pulls in project data, schedules, and documentation, then offers quick, conversational answers to questions like “What’s the current delivery delay on rebar?” or “Where’s the latest site layout?”
Wenti gets how construction teams talk and work. It helps cut down time spent searching through emails and docs so everyone can stay focused and productive.
Pros
- AI assistant tailored for construction use cases
- Supports voice and chat inputs
- Reduces time wasted searching for updates
- Adds value without disrupting current workflows
- Promising direction for AEC digital assistants
Cons
- Still early in development; capabilities may be limited
- May require strong integrations to be fully useful
- Accuracy depends on the quality of source data
- Adoption may lag without clear ROI
20. BLDX
- Location: USA
- AI Focus: AI-powered construction scheduling
- Notable Clients: Early adopters in the commercial and residential construction sectors
BLDX is the first AI-powered platform creating a living, digital memory for any building, residential or commercial. It archives critical records like inspections, materials, claims, and compliance documents, tying them to a building’s digital identity. With its natural-language AI assistant, professionals across industries can ask questions and get instant, verifiable answers—from fire audits to insulation specs.
It turns static data into searchable building intelligence—so teams can reduce risk, make smarter decisions, and quickly find the info they need, whenever they need it.
Pros
- Creates a searchable, verifiable digital history of any building
- AI-powered assistant answers questions instantly in natural language
- Centralizes data for compliance, insurance, sustainability, and FM use cases
- Supports a wide range of industries, from AEC to real estate and data centers
- Reduces risk by making hidden projects and building insights accessible
Cons
- Still early in adoption; limited case studies from large-scale deployments
- Effectiveness depends on the quality and availability of existing building records
- May require training for teams unfamiliar with AI or digital twins
- Less relevant for short-term projects or firms without long-term data needs
21. ConeLabs
- Location: USA
- AI Focus: Inspection and field issue tracking
ConeLabs uses AI to automate inspection workflows by identifying issues in site photos and linking them to specific tasks or locations. It helps field engineers, superintendents, and quality managers close the loop between documentation and action.
Additionally, the platform offers smart tagging, progress tracking, and mobile-first tools to simplify punch lists, daily logs, and compliance checks. With image-based reporting and location mapping, ConeLabs improves visibility and accountability across the site.
Pros
- AI detects issues directly from field photos
- Reduces paperwork and manual inspection logs
- Syncs with field locations and project milestones
- Mobile-friendly and intuitive for field use
- Helps speed up punch list closeouts
Cons
- Requires consistent image capture from the field
- Effectiveness may vary depending on photo quality
- Narrow focus on inspections—not a full PM solution
- Limited use cases beyond field documentation
22. Syncker
- Location: Brazil
- Funding: $18.6M Series A (2025)
- AI Focus: AI-driven construction progress management and reporting
Syncker is a Brazilian startup revolutionizing construction progress management through AI and extended reality (XR). The AI construction company bridges the gap between field operations and office oversight, providing real-time insights into project execution.
The Syncker suite includes:
- Workspace: A collaborative environment where field teams can visualize project designs and instructions overlaid on actual site conditions, facilitating precise execution and localized quality annotations.
- Scan: A productivity tool that leverages AI and XR to enhance the agility and credibility of monitoring and controlling physical project progress.
- Link: Connects office systems to up-to-date site data, enabling system integration, custom report creation, interactive analyses, and informed decision-making based on reliable information.
Pros
- Real-time progress dashboards integrating data from drawings, schedules, photos, and field updates
- Reduces manual input and reliance on Excel-based tracking
- Offers high-level overviews with the ability to drill down into details
- Facilitates improved communication between field teams and office management
- Accelerates client and stakeholder reporting processes
Cons
- Effectiveness depends on the accuracy of schedule inputs
- May not be suitable for contractors requiring in-depth field tools
- The platform is still maturing, with limited integrations at launch
- Value realization depends on adoption by project teams
23. AirWorks
- Location: USA
- AI Focus: Aerial mapping and drafting
AirWorks uses AI to transform aerial imagery into CAD-ready site plans. With fast, reliable geospatial data at your fingertips, Airworks helps you deliver more projects faster and with accuracy. It automates identifying roads, curbs, utilities, and more, turning drone or satellite images into usable base maps in hours instead of days.
Furthermore, Civil engineers, surveyors, and site planners use AirWorks to speed up feasibility studies and reduce drafting time. It’s a key tool for preconstruction teams managing large, open sites.
Pros
- Automates site plan generation from aerial data
- Reduces turnaround time for feasibility and planning
- Supports integration with CAD and GIS platforms
- Ideal for infrastructure, land development, and solar
- Eliminates hours of manual drafting
Cons
- Accuracy tied to image resolution and terrain complexity
- Not built for vertical construction documentation
- Requires access to drone or aerial imagery
- Still gaining market share in larger firms
24. WolkenVision
- Location: USA
- AI Focus: Scan-to-BIM automation
WolkenVision uses computer vision and machine learning to transform 3D scans into BIM-ready models. It significantly reduces the time and cost of converting real-world conditions into usable Revit or IFC files.
Architects, engineers, and VDC teams use it to streamline renovations, retrofits, or facilities management where up-to-date digital models are missing. WolkenVision closes a major gap in as-built documentation by speeding up the Scan-to-BIM workflow.
Pros
- Automates the Scan-to-BIM conversion process
- Saves time on modeling existing conditions
- Improves accuracy in retrofit and renovation projects
- Supports common BIM file formats
- Useful for facility owners, architects, and GC teams
Cons
- Results may vary based on scan quality
- Less valuable for new builds with existing models
- Limited visibility outside of VDC and BIM circles
- The platform is still scaling up integrations
25. Builda Price
- Location: Australia
- AI Focus: Estimating automation for builders and tradies
Builda Price simplifies estimating for residential builders and subcontractors, using AI to extract quantities and pricing from plans. Its clean, trade-specific interface helps users generate quotes faster, with fewer manual errors and better transparency.
Especially popular in Australia and New Zealand, Builda Price caters to smaller contractors who want to stay competitive without hiring a full-time estimator. It’s practical, affordable, and for real-world contractor needs.
Pros
- Quick quoting based on real drawings
- Easy to use for trades with no tech background
- Includes pricing templates for local markets
- Strong community feedback from small contractors
- Mobile-friendly and affordable
Cons
- Current focus on the ANZ market
- Less customization for larger firms or commercial projects
- Limited integrations with global PM platforms
- Doesn’t offer deep reporting or scheduling tools
26. DZINLY
- Location: USA
- AI Focus: Exterior design visualization
DZINLY helps homeowners, developers, and contractors visualize exterior remodels using AI-generated renderings. Users upload a photo of a house and instantly see design variations—colors, materials, trim, and more—without hiring a designer or using complex modeling tools.
This tool empowers decision-making early in the design phase and improves communication between clients and contractors. DZINLY also helps avoid costly rework by setting clearer visual expectations upfront.
Pros
- Instantly renders realistic exterior design options
- Great for client engagement and sales presentations
- Supports faster design approvals and sign-offs
- Reduces back-and-forth during the remodel process
- No CAD or design software required
Cons
- Limited to exterior visualizations (no interiors or structures)
- Less useful for commercial or large-scale developments
- Output quality depends on input photo resolution
- Doesn’t integrate directly into BIM or CAD tools
27. Ressio Software
- Location: USA
- AI Focus: Project summaries and insights
Ressio is a modern construction management software that streamlines project workflows for builders and contractors. The platform creates comprehensive project summaries automatically, pulling data from various sources such as job logs, schedules, and documents.
This functionality enables teams to generate polished reports in seconds, enhancing communication with clients and stakeholders.
Additionally, Ressio’s built-in assistant, Mason AI, gives construction teams real-time insights and handles the repetitive tasks. It acts as a digital project manager, helping teams manage tasks, budgets, and schedules more efficiently.
Pros
- Automates the generation of detailed project summaries, saving time and reducing manual effort
- Integrates data from multiple sources, providing a centralized view of project information
- Enhances client communication with customizable reports and real-time updates
- Built-in AI assistant aids in task management and decision-making
- User-friendly interface for ease of adoption by construction teams
Cons
- Effectiveness depends on the quality and completeness of input data
- May require initial training for teams unfamiliar with AI-driven tools
- Current focus on small to medium-sized construction firms; scalability for larger enterprises is yet to be fully demonstrated
- Limited public information on integration capabilities with other construction software
28. Trunk Tools
- Location: USA
- Funding: $20M Series A led by Redpoint Ventures (2024)
- AI Focus: Construction productivity and task automation
- Notable Clients: Gilbane, Suffolk, DPR, STO Building Group, Microsoft, Autodesk
Trunk Tools is revolutionizing construction workflows to enhance field productivity and streamline project management. Through large language models (LLMs), Trunk Tools transforms unstructured construction data into actionable insights, enabling teams to access critical information quickly and efficiently.
One of its flagship products, TrunkText, allows field workers to query project documents via SMS or a mobile app, receiving accurate answers and relevant documentation in seconds. This tool has been shown to save workers 1–2 hours daily and reduce rework by up to 65%.
Additionally, Trunk Tools offers a suite of AI agents, including the Schedule Agent, which proactively monitors project schedules, identifies potential delays, and alerts relevant stakeholders, ensuring projects stay on track.
Pros
- Tailored for field crews, enhancing daily task management and accountability
- AI-driven tools like TrunkText provide instant access to project information
- Schedule Agent proactively identifies and addresses potential project delays
- User-friendly mobile interface with minimal learning curve
- Integrates seamlessly with existing PM tools like Procore and Autodesk
Cons
- Primarily focuses on field operations; may require integration with broader PM platforms for comprehensive project management
- Effectiveness depends on the quality and consistency of input data
- Adoption may require change management to replace traditional workflows
- Currently building out additional features and integrations to expand functionality
29. Konstruksi.AI
- Location: Indonesia
- AI Focus: Project management for emerging markets
Konstruksi.AI is an AI-powered project management platform for developing markets where construction workflows are transitioning from paper to digital. It automates scheduling, resource allocation, and communication using natural language and predictive tools.
Lastly, Konstruksi.AI simplifies complex PM tasks so contractors and developers in Southeast Asia can work more efficiently and keep projects transparent—no advanced tech skills needed.
Pros
- Built for mobile-first construction environments
- Offers scheduling, communication, and task tracking
- Supports languages and workflows specific to SEA
- Great for firms new to digital construction tools
- Helps improve data capture in the field
Cons
- Focused on emerging markets—limited global use
- May lack depth for large enterprise projects
- Requires local onboarding and language settings
- Still growing user base and feature maturity
30. Renalto
- Location: France
- Funding: Between ~$1.07 – $107,000
- AI Focus: Voice-to-quote generation for construction professionals
Renalto is an application dedicated to building renovation professionals (construction workers, architects, auditors, etc.). The AI construction company is transforming how construction professionals handle administrative tasks by offering an AI-powered assistant that streamlines the quote generation process.
Renalto converts voice commands, like scope of work or pricing breakdowns, into polished, professional proposals or estimate sheets.
Moreover, the platform saves time and reduces the administrative burden on contractors, especially those constantly on the move. With features like intelligent suggestions for complementary work and energy improvements, Renalto accelerates the quoting process and enhances the quality and comprehensiveness of the proposals.
The assistant is accessible through WhatsApp or a dedicated application, ensuring ease of use and integration into daily workflows.
Pros
- Translates voice input into professional, formatted quotes
- Saves time by reducing manual data entry and administrative tasks
- Provides intelligent suggestions to enhance proposal quality
- Accessible via WhatsApp and other apps for convenience
- Ideal for small firms or subcontractors managing multiple quotes daily
Cons
- Accuracy may vary depending on speech clarity and background noise
- May not support highly complex or customized quote formats
- Still developing integrations with other project management tools
- May offer less value for firms with dedicated administrative teams
31. Volve
- Location: Norway
- AI Focus: AI-powered document intelligence for construction and real estate
- Notable Clients: Skanska, Allstad, OBOS Ventures
Volve is redefining how construction and real estate professionals interact with project documents. Recognizing that over 80% of construction data resides in unstructured formats, Volve transforms tenders, contracts, and project documents into actionable insights.
Volve lets users chat, search, extract, and compare information, linking every answer back to the exact line in the source to support better decision-making.
Additionally, the AI construction company offers three focused modes—Tender Evaluation, Contract Review, and Project Documents—to cater to different project needs. With automated, industry-specific analyses, summaries, and templates, Volve provides sharper insights.
This approach reduces the time spent searching for information and cuts review times by over 50%, allowing teams to focus on strategic decisions rather than manual document reviews.
Pros
- Transforms unstructured documents into actionable insights
- Reduces document review time by over 50%
- Offers chat, search, extract, and compare functionalities
- Provides automated, industry-specific analyses and summaries
- Supports various project workflows with dedicated modes
Cons
- Primary focus on text-based documents; may not handle visual documents (like plans) as effectively
Requires training for teams to maximize its capabilities - Most beneficial for large, document-heavy projects; smaller projects may see limited value
32. Monumental Labs
- Location: USA
- Funding: $1M (2023)
- AI Focus: Robotic stone construction
- Notable Clients: Projects include Villard Houses, de Seversky Mansion, Carnegie Hall, and The Frick
Monumental Labs is revolutionizing the field of stone construction by integrating AI and robotics to automate the fabrication of intricate stone elements. Their technology enables the production of detailed sculptures and architectural ornaments with unprecedented speed and precision.
Through robotic milling and traditional hand-finishing techniques, they maintain the artistry of stonework while significantly reducing costs and labor intensity. In fact, their team is developing AI construction software and hardware to progressively automate stone fabrication and reduce costs up to 90%.
This approach not only preserves the aesthetic value of stone architecture but also makes it more accessible for modern construction projects. Monumental Labs’ work supports a resurgence of ornamental stone in contemporary architecture, offering sustainable and cost-effective alternatives to conventional building materials.
Pros
- Automates complex and labor-intensive stone carving processes
- Enhances precision and consistency in stone fabrication
- Reduces production time and costs compared to traditional methods
- Combines modern technology with traditional craftsmanship
- Supports sustainable building practices with a lower carbon footprint
Cons
- Focus on stone may limit applicability to other materials
- Initial setup and training for robotic systems can be resource-intensive
- Ongoing development is necessary to expand capabilities and integrations
- Adoption may be slower in markets less familiar with robotic fabrication
33. BuildStream
- Location: USA
- AI Focus: AI-enhanced recruitment and workforce management for the construction and industrial sectors
BuildStream offers a tech-enabled service to streamline recruitment for agencies and companies in the construction and industrial sectors. It automates candidate sourcing, outreach, and engagement by leveraging AI and a dedicated resourcing team. This allows clients to focus on delivering quality service without the overhead of a large internal team.
Moreover, their platform supports rapid scaling, with some agencies finding new clients within 24 hours of engagement. BuildStream’s approach includes pay-per-lead sales support and unlimited candidate resourcing, providing a predictable and repeatable growth engine for recruitment businesses.
Pros
- Automates candidate sourcing and outreach, reducing time-to-hire
- Provides access to passive candidates not found on traditional platforms
- Offers flexible pricing models, including monthly retainers and pay-per-lead options
- Dedicated account management and expert resourcing support
- Rapid deployment, with outreach campaigns starting within 24 hours
Cons
- Primary focus on recruitment agencies; may require adaptation for direct employers
- Effectiveness depends on the quality of input data and defined candidate profiles
- Limited public information on integration capabilities with other HR or project management tools
- Success relies on consistent collaboration between BuildStream and client teams
34. Nyfty.ai
- Location: USA
- AI Focus: Automation bots for construction workflows
Nyfty.ai builds low-code automation bots that connect across tools like Procore, Microsoft Teams, and email to automate routine tasks, such as RFI follow-ups, approval reminders, and submittal tracking.
Moreover, Nyfty plugs into the tools you already use and works behind the scenes to keep things moving. It’s like having a virtual assistant built specifically for construction admin.
Pros
- Automates repetitive PM tasks
- Reduces delays from forgotten follow-ups
- Works across popular platforms with little setup
- Customizable for different workflows
- Doesn’t require learning a new interface
Cons
- Less effective without an existing digital tool stack
- May require IT support for complex automations
- Not built for core project management
35. Caidio
- Location: Finland
- Funding: $1.5M (2022)
- AI Focus: Concrete quality optimization and sustainability
Caidio is a Finnish climate tech startup that develops data-driven technologies to optimize the quality and productivity of global concrete construction. According to the World Economic Forum (WEF), concrete production accounts for approximately 8% of global CO₂ emissions, primarily due to its cement content.
The AI construction company addresses this challenge by offering digital quality assurance solutions that enhance concrete quality, reduce material waste, and lower carbon emissions.
Their suite of tools includes:
- Water Content Optimizer: Ensures optimal water-cement ratios to improve concrete strength and durability.
- Aggregate Quality Analysis: Assesses the quality of aggregates to ensure consistency in concrete mixes.
- Compressive Strength and Workability Monitoring: Provides real-time insights into concrete performance metrics.
- Recycled Concrete & Cement Alternatives: Facilitates sustainable materials in concrete production.
Lastly, these solutions enable concrete producers to achieve significant cost savings and environmental benefits. For example, in the Asian market alone, their technology can save up to $6 billion annually through reduced cement usage and decrease CO₂ emissions by millions of tonnes annually.
Pros
- Optimizes concrete mix for quality and efficiency
- Reduces material waste and project delays
- Real-time feedback on environmental impact
- Strong technical team with deep measurement expertise
- Valuable for infrastructure and high-spec projects
Cons
- Focuses on concrete only
- May require sensor integration for best results
- Not yet widely adopted outside Europe
- Limited visibility in general contractor tech stacks
Top 15 Established Construction Software Companies Integrating AI
AI isn’t just for startups. Some of the most trustworthy names in construction software are now weaving AI into their core tools, enhancing everything from project planning to jobsite coordination. These players already power thousands of projects worldwide, and with AI in the mix, they’re helping teams make faster decisions, reduce risk, and boost productivity.
Here are 15 construction software companies integrating AI:
1. Procore
- Location: USA
- AI Focus: Predictive analytics, document automation, and risk mitigation
- Notable Clients: Turner Construction, Balfour Beatty, Clark Construction
Procore is one of the largest and most widely used construction platforms globally. Recently, the company has begun integrating AI across its suite of tools to enhance jobsite insights, flag project risks earlier, and automate tasks like submittal management and document classification.
Furthermore, with AI now integrated into features like Procore Copilot, users can query project data using natural language and receive actionable answers, helping teams work smarter and faster.
2. Autodesk
- Location: USA
- AI Focus: Predictive insights, design optimization, risk identification
- Notable Clients: Skanska, AECOM, DPR Construction
Autodesk Construction Cloud brings AI into the heart of project planning and delivery. The platform flags potential issues before they cause delays, helps optimize design choices, and enables data-driven decision-making through Construction IQ and Autodesk AI.
Its AI capabilities are in products like BIM 360 and Autodesk Build, helping users reduce risk while staying on schedule.
3. Oracle
- Location: USA
- AI Focus: Predictive scheduling, risk mitigation, and resource planning
- Notable Clients: Bechtel, Turner Construction, Jacobs
Oracle’s Primavera and Aconex’s built-in AI that helps teams spot scheduling risks and make better planning decisions. The tools can flag delays, surface bottlenecks, and suggest how to shift resources before problems snowball. It’s a familiar platform—but now it’s a lot more proactive.
4. Bentley Systems
- Location: USA
- AI Focus: Infrastructure modeling, generative design, predictive maintenance
- Notable Clients: U.S. Department of Transportation, Ferrovial, Arup
Bentley Systems integrates AI into its infrastructure solutions to help engineers and contractors model, analyze, and manage complex assets more efficiently.
Moreover, with tools like iTwin and SYNCHRO, Bentley applies machine learning to simulate project outcomes, detect risks in 4D construction models, and optimize long-term asset performance. It’s a powerful AI engine for civil and infrastructure projects.
5. Trimble
- Location: USA
- AI Focus: Robotics, site automation, and machine learning for layout and grading
- Notable Clients: Granite Construction, Skanska, Zachry Construction
Trimble uses AI to enhance precision across construction tasks—from robotic total stations to machine-guided earthmoving. Its AI capabilities are embedded in hardware and software solutions, enabling real-time site analytics, smarter layout automation, and autonomous machine control. With Trimble, field crews get a productivity boost without sacrificing accuracy.
6. PlanGrid (Acquired by Autodesk)
- Location: USA
- AI Focus: Document automation, field data analysis, issue detection
- Notable Clients: Swinerton, Balfour Beatty, Power Design
PlanGrid uses AI to streamline document management and field reporting. Its smart tools automatically detect discrepancies between sheet versions, extract data from PDFs, and highlight unresolved field issues. This helps teams stay organized and responsive, especially in fast-paced build environments.
7. Bluebeam
- Location: USA
- AI Focus: Document parsing, automated markup recognition, and smart review tools
- Notable Clients: Hensel Phelps, McCarthy, Clark Construction
Bluebeam is best known for PDF-based collaboration, but its AI features are gaining traction. It uses machine learning to recognize repeated markup patterns, auto-label documents, and suggest corrections, making plan reviews faster and more consistent.
For teams buried in drawings and RFIs, Bluebeam’s smart tools offer welcome relief.
8. Buildertrend
- Location: USA
- AI Focus: Predictive project tracking and workflow automation
- Notable Clients: Residential builders and remodelers across the U.S.
Buildertrend is popular for residential contractors looking to keep projects on track. It predicts delays, automates communication workflows, and surfaces performance insights for subs and crews. It’s user-friendly, mobile-first, and designed to make small teams more efficient.
9. CoConstruct
- Location: USA
- AI Focus: Project scheduling, estimate automation, and workflow templates
- Notable Clients: Custom home builders and remodelers
CoConstruct helps residential builders streamline their workflows, and its AI features save you time. From auto-generating estimates based on past projects to suggesting schedule adjustments and template recommendations, CoConstruct gives smaller teams a smarter way to manage everything from budgeting to client communications.
10. Fieldwire
- Location: USA
- AI Focus: Task automation, field insights, smart reporting
- Notable Clients: Clark Construction, EllisDon, HITT Contracting
Fieldwire’s strength lies in task coordination, and with AI, it’s getting even smarter. It predicts workload bottlenecks, prioritize daily tasks, and automate field reporting. It’s for crews in the field who need real-time updates without extra overhead.
11. e-Builder (Acquired by Trimble)
- Location: Plantation, Florida, USA
- AI Focus: Capital program forecasting and risk management
- Notable Clients: Public agencies, school districts, healthcare networks
e-Builder applies AI to capital project planning—forecasting costs, analyzing risk, and helping owners ahead of delays. Its smart reports offer insights into budget trends, vendor performance, and schedule impacts. For teams managing multi-year, multi-site portfolios, e-Builder brings clarity and control to every phase.
12. Viewpoint (Acquired by Trimble)
- Location: USA
- AI Focus: ERP automation, financial forecasting, compliance
- Notable Clients: Mid-size to enterprise GCs, subcontractors, specialty trades
Viewpoint uses AI to simplify financial workflows and compliance tracking across construction projects. This helps accounting and project teams save time and avoid costly errors. It’s especially valuable for firms juggling multiple jobs and complex budgets.
13. CMiC
- Location: Canada
- AI Focus: Project analytics, predictive modeling, cost control
- Notable Clients: Structure Tone, Clayco, Barton Malow
CMiC is an all-in-one construction ERP with AI capabilities woven into forecasting, reporting, and project insights. Its smart engine helps identify budget risks, track schedule deviations, and surface anomalies. For finance-forward builders, CMiC delivers both control and visibility.
14. Jonas Construction
- Location: Canada
- AI Focus: Financial forecasting, job costing insights, and productivity tracking
- Notable Clients: Commercial contractors, mechanical and specialty trades
Jonas Construction integrates AI into its ERP to improve visibility into project financials and job performance. Its smart tools surface cost overruns, flag resource inefficiencies, and help companies make proactive decisions. For firms managing tight margins, Jonas adds intelligence to every dollar and task tracked.
15. OpenAsset
- Location: UK & USA
- AI Focus: Image recognition, content tagging, search optimization
- Notable Clients: Arcadis IBI Group, Robins & Morton, Balfour Beatty
OpenAsset is a proposal tool and the leading digital asset management (DAM) solution for AEC firms, and its AI capabilities are changing how teams organize and use visual content. Here are the top AI features in OpenAsset:
- AI Visual Search: Find images based on what’s in them, not just their tags. Search concepts like “curving staircase” or “people on site” without relying on keywords.
- Image Similarity Tool: Need a backup image? Instantly locate visually similar photos, even if they were never tagged.
- AI Facial Recognition: OpenAsset automatically identifies team members in photos and connects them to staff profiles—perfect for quickly pulling headshots for resumes and proposals.
- AI Facial Recognition: Generate project summaries and bios using data already in OpenAsset. It’s the fastest way to build polished, on-brand content for RFPs and marketing.
Whether you’re building project sheets, proposals, or portfolios, the AI features within OpenAsset’s AEC marketing tool help you work faster, stay brand-consistent, and save hours on manual tasks.
Real-World Examples of Construction Companies Using AI
AI in construction is changing the industry right now. From predictive analytics on megaprojects to autonomous equipment on job sites, top firms are solving real-world challenges with AI. These examples show how leading construction companies are leveraging AI to boost efficiency, improve safety, and stay ahead of the curve:
1. Caterpillar: Autonomous and Semi-Autonomous Machinery
Caterpillar leads the industry in autonomous construction equipment. Its Cat Command platform enables semi-autonomous operation of machines like the 299D3 Compact Track Loader, combining remote control with autonomous navigation to enhance safety and efficiency.
Additionally, Caterpillar has integrated Luminar’s lidar sensors into its heavy-duty equipment, bolstering the capabilities of its self-driving systems.
2. Bechtel: Predictive Analytics in Megaprojects
Bechtel has established a Big Data and Analytics Center of Excellence (BDAC) to apply AI and deep learning to sequencing construction activities in megaprojects. This initiative aims to enhance productivity by leveraging AI for better planning and execution.
3. Swinerton: Robotics Integration From Dusty Robotics
Swinerton has partnered with Dusty Robotics to integrate the FieldPrinter, a robot that automates the layout process on construction sites. This collaboration allows for precise, AI-driven printing of digital construction plans directly onto floors, streamlining workflows and reducing manual errors.
4. Skanska: AI for Safety and Labor Optimization
Skanska has launched “Safety Sidekick,” an AI-powered assistant to enhance job site safety by providing real-time, task-specific guidance. The tool offers instant access to safety resources and best practices, helping teams maintain compliance and reduce risks.
Leverage AI in AEC With OpenAsset
AI is changing construction fast—from tracking progress with drones to automating estimates and building proposals in less time. It’s not just the future—it’s already part of how top teams get things done.
At OpenAsset, we’re bringing that same power to your AEC marketing workflows. With tools like visual search, facial recognition, and content generation, you can find the right assets faster and turn them into winning proposals. As AI construction companies keeps evolving, we’re here to help your team stay ahead—and stand out.
