Buildots ✓

Buildots is an AI-powered construction progress-tracking platform founded in 2018 in Tel Aviv, Israel by Roy Danon, Aviv Leibovici and Yakir Sudry -- a team with backgrounds spanning military technology units and computer vision, applied specifically to the problem of tracking construction-site progress automatically rather than through manual walkthroughs and spreadsheets.

The core technology combines 360-degree site cameras (workers walk predetermined routes wearing or carrying the camera rig) with computer-vision AI that automatically compares captured footage against the BIM model and project schedule, flagging what's actually built versus what's scheduled, without requiring manual data entry from site superintendents.

That automated visual comparison directly targets a long-standing pain point in construction project management: manual progress tracking is time-consuming, inconsistent between different site staff, and often lags reality by days or weeks -- Buildots' pitch is real-time, objective, photo-verified progress data instead.

The company has raised substantial venture funding (over $100 million across multiple rounds from investors including Tiger Global, TLV Partners and Acrew Capital) and named users include major contractors and developers, reflecting genuine adoption specifically among large-scale residential and commercial construction programs where consistent, high-frequency progress tracking across many concurrent floors/units has real value.

The system's value compounds over the course of a project specifically because it captures a complete, continuously updated visual and quantitative history of construction progress -- rather than a single snapshot, project teams accumulate a week-over-week record that supports both proactive schedule-risk identification (flagging trades falling behind before the delay becomes critical) and after-the-fact analysis of exactly what happened and when on disputed items.

Buildots has also expanded its analytics toward predictive scheduling insights, using the accumulated progress data across many projects to help forecast which activities are trending toward delay based on patterns observed across the platform's broader dataset, rather than relying solely on a single project's own historical trend.

Editor’s takeBIM•STACK editor's take: Buildots' computer-vision approach to progress tracking is a genuinely different category from manual-entry project-management tools -- automating the walkthrough itself, not just digitizing the resulting checklist, is a real technical differentiator backed by substantial venture funding and adoption at large contractors. The tradeoff is that its value is most concentrated on large, repetitive-unit projects (residential towers, large commercial builds) where automated floor-by-floor comparison pays off; smaller or highly bespoke projects may not see the same return, and pricing requires a direct sales conversation.

Buildots' site-capture process (walking predetermined routes with the 360-degree camera) requires a modest new operational habit for site staff, but is deliberately simple by design -- the AI does the comparison work, so the main learning curve is establishing a consistent walkthrough routine rather than mastering complex software.

Project managers and superintendents interpreting the resulting progress dashboards generally find the visual, photo-backed comparison intuitive, since it presents information in a form (visual progress versus schedule) that maps directly onto how they already think about job-site status, just automated and more frequent than manual walkthroughs allow.

Getting the BIM model and schedule set up correctly for accurate automated comparison takes real upfront configuration work, typically involving both Buildots' own implementation team and the project's BIM/scheduling leads -- firms report this initial setup investment is meaningful but front-loaded, with the ongoing day-to-day capture-and-review routine becoming quick and low-effort once established.