In the fast-paced construction industry, project managers frequently face difficulties staying directly connected to progress at work sites. Responsibilities such as monitoring budgets, coordinating extensive communications with multiple stakeholders, and evaluating risk factors related to contractor performance and billings often pull managers away from precise oversight of day-to-day on-site operations.
Buildots, a startup established in 2018 by Roy Danon, Aviv Leibovici, and Yakir Sudry, is aiming to simplify these challenges through advanced artificial intelligence and computer vision technology. The Chicago-based company provides a platform that allows construction projects to be precisely tracked via imagery processed by AI-powered analysis. Site managers mount specially designed 360-degree cameras onto their hard hats, capturing real-time data from the field.
The platform’s capabilities extend beyond mere observation, as it can also predict potential issues. Project teams access updates and gather insights through an intuitive chatbot interface, asking questions about the project’s current status. Additionally, a built-in predictive feature highlights possible delays or pacing concerns early enough to mitigate costly disruptions.
CEO Roy Danon highlighted the transformative nature of Buildots’ technology for construction professionals, noting that it equips site managers, executives, and stakeholders with immediate, data-driven information. The startup currently counts global corporations such as Intel alongside more than 50 reputable construction firms among its clientele.
To accelerate growth and innovation, Buildots recently secured a sizable $45 million investment in a Series D funding round spearheaded by Qumra Capital. The round also received participation from OG Venture Partners, TLV Partners, Poalim Equity, Future Energy Ventures, and Viola Growth, bringing the company’s total funding to date to $166 million.
Danon stated that this fresh capital infusion will primarily fund the expansion of its technology ecosystem to cover additional phases of the construction lifecycle. Leveraging the wealth of historical data collected, Buildots plans to refine its AI models further, enhancing performance benchmarking and optimization capabilities across projects.
While Buildots emerges as a substantial player—currently employing more than 230 staff globally—it intends to strengthen its North American presence substantially throughout the year, particularly focusing on growing its research and development teams.
The construction-tech sector has drawn numerous AI-focused competitors, including BeamUp, a startup that provides an AI-driven platform for building designs; and Versatile, which uses similar data capture and analysis technology to help builders visualize project progress in real-time.
Nevertheless, Danon believes Buildots has set itself apart through a strong operational focus and integrated approach to construction performance management. He stressed that the new funding is not merely growth capital, but validation of a wider industry readiness for AI-powered tools that transform traditional construction processes.
