AI-driven site monitoring using 360-degree camera capture and synced issue workflows.
Chicago, August 20, 2025
Buildots announced an expanded integration with a major cloud construction platform and secured a $45 million Series D led by Qumra Capital. The enhanced sync pushes issues detected by the company’s AI directly into the platform’s issue-management workflow, reducing tool switching and speeding resolution. Proceeds will fund North American expansion, R&D hiring, and new AI forecasting features that use historical project data. The platform uses 360-degree hard-hat cameras, computer vision, dashboards and a chat-style assistant to improve project visibility, flag safety risks, and predict schedule and cost risks for roughly 50 construction firms on large projects.
A construction technology company announced an expanded connection with a major cloud construction platform and closed a $45 million Series D round led by Qumra Capital. The move ties automated, on-site progress tracking more directly into project issue workflows and adds cash as the company grows its work in North America and its AI capabilities. The announcement was issued from Chicago on August 14, 2025.
The company widened an existing link so that issues its system detects on site are now synced into the cloud construction platform’s issue-management tool. That sync creates a single workflow where teams can see detected problems and act on them without switching systems. The expanded connection builds on a prior integration that already pulled design files into the company platform automatically.
The fresh investment was led by Qumra Capital with participation from several other investors. The new money brings outside funding to about $166 million in total. The company said proceeds will be used to grow its North American presence, hire more R&D staff, and add AI features that forecast project performance using historical project data. The platform is in use by roughly 50 construction firms and is being used on large projects in North America and Europe, with one high-profile industrial client using the technology on factory builds.
The system relies on computer vision and AI to turn images and site footage into usable data. Site teams capture imagery using 360-degree cameras mounted on hard hats. Those images are processed with internal AI models that were trained on millions of construction-related data points. The output feeds dashboards, spreadsheets, and a chat-style assistant that can answer natural-language questions about job status and specific activities.
The platform aims to give project managers a clearer, faster way to spot and fix issues. It flags tasks that are behind schedule, compares current progress to plans, and highlights places where quality problems or safety risks are likely. It also offers analytics that track the pace of work — for example, the average rate of installing specific items — and a tool that lets managers track payments and contractor activity in a familiar spreadsheet-like view.
The platform includes a chatbot-like assistant, an image browser tied to floor plans and outstanding tasks, and predictive tools that estimate whether activities will meet deadlines. It claims to improve visibility for quality assurance teams by making building images and task lists easy to find. The company also reports that using the system has helped avoid weeks of delays on some industrial jobs, a claim presented as company-reported results.
AI models review visual and sensor information to flag unsafe conditions such as missing protective gear or misplaced equipment. The technology can also compare what is built to the blueprint and point out deviations that could become defects later. Successful deployment on projects requires training staff to use the tools as part of normal workflows, and the company says customer training is part of its approach.
The construction sector is shifting from debating whether to use AI to figuring out how best to blend these tools into daily work. The combination of real-time site data, automated issue tracking, and cloud-based workflows is intended to help teams make decisions based on measurable data instead of fragmented reports.
The enhanced sync is available globally to customers who use the cloud construction platform. The company plans to expand product coverage across more stages of the construction life cycle and to use accumulated historical data to improve forecasting and benchmarking features.
The integration pushes issues detected by the site AI directly into the project’s issue-management workflow so teams can see and act on those items without leaving their main project platform.
The system analyzes images taken with 360-degree cameras, combines those with plan files and project records, and runs the information through AI models trained on many construction data points.
The announced funding is earmarked for expanding presence in North America, hiring for research and development, and building new AI features that forecast future performance using past project data.
Yes. The tools can flag safety risks seen in imagery or sensor feeds and provide early warnings so managers can respond before incidents occur.
The enhanced integration is offered globally to customers of the cloud construction platform who also use the company’s system.
| Feature | What it does | Benefit |
|---|---|---|
| AI and computer vision | Processes site images to detect progress, errors, and safety issues. | Faster issue detection and clearer site visibility. |
| Autodesk Construction Cloud sync | Automatically sends detected issues into the project’s issue tool. | Reduces tool switching and speeds resolution. |
| Dot assistant | Natural-language assistant that pulls status details from project data. | Easier access to granular information for on-site teams. |
| 360-degree camera capture | Collects comprehensive site imagery from managers’ hard hats. | Holistic visual record that supports QA and progress tracking. |
| Predictive analytics | Forecasts pacing and flags tasks at risk of delay. | Helps keep projects on schedule and within budget. |
| Analytics dashboard & spreadsheet view | Shows progress metrics and a payments-style interface. | Makes tracking and financial oversight simpler for managers. |
| Global availability | Enhanced integration offered to customers worldwide. | Supports multinational project workflows. |
| Series D funding | $45 million raised to accelerate growth and product R&D. | Provides resources for scaling and feature development. |
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