Buildots: Artificial Intelligence for Monitoring and Comparison of Construction Progress
Corporate Identity and Operational Structure
Foundational Data and Global Presence
Buildots Ltd. is a Deep Tech company founded in 2018, specializing in the application of computer vision for the construction industry. The company operates under a strategic binational structure, with development and innovation centers in Tel Aviv, Israel, and corporate headquarters in London, United Kingdom. This duality allows it to capture both talent in deep learning algorithms and access to the most advanced infrastructure markets in Europe.
The company was established by Roy Danon (CEO), Yakir Sudry and Aviv Leibovici, who identified a critical gap in the traceability of work execution. Currently, the headquarters are located at Yigal Alon St 98, Tel Aviv, from where technological deployments are coordinated in highly complex projects in North America, Europe and Asia, serving the largest general contractors in the ENR ranking.
Artificial Vision Platform and PDCM Methodology
Advance Control Automation vs. BIM
Buildots' technological core is based on AI software that processes video captured by 360° cameras mounted on the operators' helmets. Unlike passive capture tools, Buildots uses convolutional neural networks to perform a granular and automatic comparison between the physical state of the work and the BIM (Building Information Modeling) model. The system is capable of identifying thousands of individual objects, from drywall to electrical outlets and mechanical valves, validating their installation against the original design.
The platform introduces the concept of 'Performance Driven Construction Management' (PDCM), which transforms visual data into accurate performance metrics. By automatically correlating site reality with the construction schedule (typically integrated with Oracle Primavera P6 or Microsoft Project), AI detects deviations, potential delays and installation errors early, allowing proactive management that minimizes cost overruns due to rework.