Buildots Raises $130 Million to Scale AI Construction Tracking, Including for Data Centers

Buildots has raised $130 million in a round led by O.G. Venture Partners, backing its effort to turn site footage, construction schedules and project plans into a continuously updated picture of building progress. The company said the financing brings its total capital raised to $297 million.

Buildots said it will use the money for technology development, recruitment, marketing and global expansion. Lightspeed Venture Partners, Intel Capital, Mohari Ventures, Human Capital, Qumra Capital, Poalim Equity, Viola Growth and Avigdor Willenz also participated in the round.

A shared view of the job site

The platform compares construction schedules, 3D site models and field photography to identify progress, delays and coordination issues. It uses computer vision, software that interprets images and video, to combine site footage and project plans into a digital twin: a digital representation of a project’s current state.

Buildots says its models can classify hundreds of kinds of construction work and replace fragmented reports and manual inspections with a shared, updated progress view. The company reports that the system can reduce project duration by about 15% on average; it did not disclose a methodology for that figure in these accounts.

From individual sites to company portfolios

Buildots said its platform is deployed by more than 100 large-scale firms, including Intel and Digital Realty, plus contractors such as STO Building Group, JE Dunn, Mortenson, Bouygues and HOCHTIEF. The customer count and names are company statements, but they indicate the company is already selling into major construction portfolios.

Its stated expansion has three dimensions: more North American and EMEA portfolios; use across stages from bidding through handover; and business intelligence intended to help leadership identify risks across projects. That is a larger ambition than documenting a single site, and it depends on project data being accurate enough to guide portfolio decisions.

Data centers raise the cost of late information

Chief executive Roy Danon said the problem of discovering a project has drifted from plan too late also affects schools, hospitals, offices and residential buildings. In data centers, he argued, greater size, complexity and investment make deviations more costly. Buildots’ next challenge is to turn that assessment into wider deployment without overstating what AI-based progress tracking can establish on its own.