AI Innovation Accelerates Across Construction Tech Sector

Construction technology companies—ranging from long-established firms to emerging startups—are ramping up their artificial intelligence (AI) capabilities, aiming to simplify complex workflows and help contractors operate more efficiently. From automated payment tools to jobsite-tracking robots, these new AI-driven tools are designed to streamline operations and reduce friction on projects large and small.
Here’s a look at four recent AI-powered innovations that are transforming the construction landscape.
Oracle: Smarter Subcontractor Payments with Agentic AI
Oracle has enhanced its Textura payment management system with new AI agent capabilities, aiming to reduce the time subcontractors spend managing invoices and navigating payment systems. The new assistive features are part of the tech giant’s broader push into “agentic AI”—a trend gaining momentum in 2025.
Now, subcontractors can type natural-language queries such as “What is the status of my payment?” and receive contextualized responses. These responses may include project lists, prompts to specify a particular draw, and automated insights—like flagging a missing compliance document—and even surfacing the necessary form to resolve the issue on the spot.
“Subcontractors are essential to project success but paying them quickly and correctly is a complex process,” said Mike Antis, Oracle’s global vice president, Textura. “By adding agentic AI capabilities, we are taking even more time and hassle out of the payment process, especially in those vital subcontractor ‘draw weeks.’”
Since its debut, Oracle’s Textura platform has processed more than $1 trillion in construction payments across over 120,000 projects, making it one of the industry’s most widely adopted payment solutions.
Buildots: AI-Powered Scheduling That Eliminates Bottlenecks
Tel Aviv-based Buildots is using AI to revamp a well-known construction scheduling method: the line-of-balance technique. The startup’s new feature integrates AI with onsite data to help general contractors visualize progress and preempt delays across various activities—all from a single, interactive dashboard.
Buildots says this level of detail allows construction teams to identify risks, manage task dependencies, and seize optimization opportunities on the fly—without needing manual inputs.
“GCs who practice the line-of-balance method today rely on manual calculations, pen and paper or workaround solutions in their scheduling software,” said Roy Danon, Buildots’ CEO. “We’re … providing teams with unprecedented visibility into activity on site, and allowing them to spot potential bottlenecks and act before the cascading delays start.”
The tool is designed not only to flag disruptions before they escalate but also to reveal underused work zones where trades can be deployed more efficiently, boosting productivity.
Okibo: Autonomous Drywall Robot Launches in U.S.
Israeli robotics firm Okibo has debuted its latest product—the EG7 drywall painting and sanding robot—alongside the launch of its U.S. headquarters in Englewood, New Jersey. The battery-powered robot represents a major leap forward in autonomous jobsite technology.

The 800-pound EG7 navigates without external sensors, Wi-Fi, total stations or BIM models. Instead, it uses AI, 3D scanning and real-time modeling to operate completely autonomously. Its compact 27-inch frame allows it to maneuver through standard doorways and tight corridors. Swappable hoppers and dust collection attachments make the unit highly adaptable to various finishing tasks.
“In an industry that is quickly adapting new technologies to improve performance and safety, our robots are designed to operate alongside humans and literally require no tech skills or setup time,” said Nadav Shuruk, Okibo COO. “Robots can’t fall off ladders or get neck, back, arm and shoulder injuries from repetitive movements, and Okibo’s robots nearly eliminate dust on a jobsite, leading to healthier indoor air quality and better respiratory health.”
Okibo says the EG7 is capable of painting and sanding up to 1,500 square feet of drywall per hour, setting a new benchmark for automation in finishing work.
EarthCam: AI Visual Intelligence Powers Control Center 9
New Jersey-based EarthCam is preparing to launch the latest version of its jobsite monitoring platform—Control Center 9—on April 9. The upgraded software introduces new AI features designed to enhance both productivity and safety.
Among the most notable updates is its ability to detect over 85 types of onsite equipment and construction materials. Users can now query this data using plain-language voice or text commands, eliminating the need for complex keyword searches or tedious navigation.
“Control Center 9 is the most important advancement we have introduced in over a decade,” said Brian Cury, CEO and founder of EarthCam. “We’re innovating tools for construction professionals that harness the power of AI, such as visual intelligence, natural language queries and Jobsite Health insights. These unique new software services lean into the challenges faced by construction teams to increase productivity, and stay focused on worker safety.”
Additionally, EarthCam’s new Pano VI feature lets users create high-resolution 360-degree AI models from a single pan-tilt-zoom camera—offering a cost-effective solution for detailed site analysis.
As construction professionals face ongoing labor shortages, tighter budgets, and rising demand for productivity, these AI-driven solutions are quickly becoming integral tools on modern jobsites. Whether it's automating tedious administrative tasks, improving on-site coordination, or reducing health and safety risks, AI is carving out a powerful role in the future of construction.
Originally reported by Joe Bousquin, Jennifer Goodman in Construction Dive.
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