BuiltWorlds prides itself on monitoring construction’s technology landscape to uncover and understand the leading solutions in the space. Below is a selection of 25 AI-powered solutions across different tech specialties in the built environment that we found worth highlighting.

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Project Software

Project management & oversight solutions are a key area of implementation for AI technology. As software tools designed to streamline and digitize the project management process, AI is becoming increasingly prevalent in AEC project management as firms recognize its potential to streamline operations, optimize scheduling, and reduce risk. Project management software solutions with AI capabilities are gaining traction, as these tools tackle traditionally time-consuming tasks, enabling teams to focus on strategic decision-making rather than tedious routine work. AI is commonly used in areas like report automation, data analysis, and contract review, where it can analyze vast amounts of data to generate actionable insights faster than manual efforts.

These advancements mark a shift toward data-driven project management, where AI not only speeds up processes but also enables predictive insights, allowing project teams to mitigate risks and make informed decisions faster than ever before.

Aitenders

Uses AI to streamline and improve the tendering process, helping construction companies generate more accurate bids.

ALICE Technologies

Develops AI-based construction planning software that optimizes project scheduling and resource allocation for complex construction projects.

Document Crunch

Provides AI-powered software to help contractors and construction professionals review contracts, identifying key risks and obligations to reduce legal issues.

Trunk Tools

Provides a workforce management solution tailored for construction, focusing on productivity tracking and job site communications.

Field Solutions

AI is making a significant impact on field solutions in the AEC industry, transforming how construction sites are monitored, documented, and optimized. Field solutions equipped with AI are helping companies collect real-time data from job sites, allowing for enhanced decision-making, safety improvements, and productivity tracking. By automating data capture and analysis, these tools eliminate manual oversight, giving project managers instant access to insights on labor, equipment usage, and site conditions while often improving safety.

Key AI technologies in field solutions include computer vision, IoT-based data collection, and predictive analytics. Computer vision, for instance, is used in applications that capture and analyze 360-degree site imagery, as well as in drone technology, which provides aerial perspectives of job sites and creates detailed 3D maps. IoT sensors track worker movements, equipment, and environmental data, feeding this information into AI algorithms that assess productivity, detect potential safety issues, and recommend process improvements. By providing granular, real-time insights, AI-powered field solutions are helping to create safer, more efficient, and better-managed construction sites.

Aren

Provides AI-driven analytics for infrastructure projects, offering insights into project performance, safety, risk, and operational efficiency.

DroneDeploy

Provides solutions for capturing aerial imagery and creating maps and 3D models for construction, oil, and gas industries via drones.

Eyrus

Provides an IoT workforce intelligence solution that leverage data to monitor labor performance, compliance, and safety on construction sites.

Genda

Provides real-time insights into labor and productivity on construction sites through a workforce visibility platform that uses IoT and AI .

Kwant

Develops a connected workforce platform that uses IoT sensors and data analytics to improve safety and productivity on job sites.

Naska

Focuses on using AI to improve planning and logistics in the construction sector, enhancing project efficiency.

OpenSpace

Provides construction site documentation through 360-degree imagery, allowing teams to capture, track, and analyze site progress remotely.

Raken

Offers field management software for construction teams, focusing on daily reporting, time tracking, and productivity insights.

Building Technology

AI in building technology solutions is reshaping planning & design, as well as tenant services/user experience and energy systems. AI technology has the ability to make building projects more efficient, cost-effective, and sustainable. AI-powered platforms in this sector enhance early-stage project design by automating tasks such as space planning, structural optimization, and energy efficiency modeling. This not only accelerates project timelines but also allows architects and engineers to test multiple design variations quickly, resulting in more sustainable and functional buildings.

Generative design is a core AI technology in building tech solutions. Generative design is transforming building layouts by using algorithms to explore numerous design scenarios based on constraints such as material use, site limitations, and energy targets. Natural language processing, particularly in conversational AI, enhances customer interactions in property management, allowing for real-time, automated responses to queries about leasing or tenant services. AI-driven tools are enabling the AEC industry to approach building design and planning with greater flexibility, precision, and sustainability.

Augmenta

Uses AI to automate building design for the construction industry and MEP systems, reducing design time and errors.

EliseAI

Offers conversational AI solutions for property management, automating responses and improving customer service.

Genia

Delivers physically valid designs from floor plans to deliver efficiency and speed for engineering teams and real estate developers.

mbue

Optimizes labor and equipment usage, enhancing efficiency and cost control through a construction productivity platform.

SKEMA

Uses existing BIM/Revit designs and data to turn schematics designs into fully-integrated BIM models efficiently.

SketchUp

Provides 3D modeling architects, engineers, and designers, known for its ease of use and extensive library of components.

TestFit

An AI-driven tool for real estate feasibility studies, automating building layouts and optimizing design based on project requirements.

Equipment & Robotics

AI in equipment and robotics is making an impact on how construction sites operate by automating heavy machinery and enhancing site safety. Robotics and AI-powered systems are increasingly used to perform repetitive or hazardous tasks, such as excavation, surveying, and equipment inspections, allowing human workers to focus on more complex, value-added activities. This shift not only increases productivity but also reduces risks associated with on-site labor.

Technologies such as computer vision, autonomous navigation, and machine learning are central to this transformation. Autonomous navigation allows heavy equipment to operate with minimal human intervention, enabling tasks like earthmoving and grading. Computer vision, used in robotics and inspection tools, enables machines to recognize obstacles, assess equipment conditions, and ensure safety compliance. Machine learning further enhances these systems by continuously analyzing performance data, predicting maintenance needs, and adapting to different site conditions. Together, AI-driven robotics and equipment are paving the way for safer, more efficient construction sites, where machines handle routine and dangerous work, and human workers take on safer and more strategic roles.

ANYbotics

Builds autonomous robots designed to perform inspections and safety monitoring in industrial and construction environments.

Built Robotics

Develops autonomous robotic solutions for automating repetitive tasks in the solar industry.

SafeAI

Retrofits heavy equipment with autonomous technology, enabling vehicles like dump trucks and loaders to operate without human drivers on construction and mining sites.

Preconstruction

AI in preconstruction solutions is enhancing how projects are planned and estimated, allowing teams to make data-driven decisions earlier in the project lifecycle. By automating complex tasks like cost estimation, scheduling, and risk analysis, AI tools help preconstruction teams reduce uncertainties and improve project outcomes. This shift enables faster, more accurate planning and minimizes the potential for costly revisions down the line.

AI is utilized in the preconstruction phase in the form of predictive analytics, machine learning, and natural language processing. Predictive analytics in scheduling can identify potential delays by analyzing historical project data, helping teams anticipate and address scheduling challenges. Machine learning algorithms support cost estimation by rapidly analyzing past project data to produce accurate, competitive bids. Additionally, natural language processing can analyze large volumes of contract language, specifications, and regulatory documents to highlight compliance issues or risks. These advancements empower preconstruction teams to streamline planning, reduce risk, and increase the likelihood of project success by making informed decisions early on.

25 AI-Powered Solutions Transforming the Built World