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.
Key update: A construction software company expanded its integration with Autodesk Construction Cloud to sync issues directly into Autodesk® Build and raised $45 million in a late-stage funding round led by Qumra Capital. The company says its AI and computer-vision platform is used by major industrial customers, including work on semiconductor fabs, and by roughly 50 construction firms.
The integration links issue data captured on site with Autodesk’s construction management tools, creating a streamlined workflow so teams can see flagged problems where they already manage schedules and documents. The company describes this move as a step toward a single workflow that makes site issues more actionable and easier to resolve without switching systems. The enhanced connection is offered globally to customers using Autodesk Construction Cloud.
At the same time, the company closed a $45 million Series D led by Qumra Capital, with participation from several investors. That round brings the startup’s total outside funding to $166 million. The firm says it will use the money to grow in North America, expand research and development, and build new AI features that forecast future project performance using historical data.
The platform combines AI and computer vision to automate on-site progress tracking. It collects images from 360-degree cameras mounted on managers’ hard hats, processes them with internal AI models trained on millions of construction data points, and outputs task lists, progress metrics, and issue flags. Customers can view site photos alongside floor plans, check lists of outstanding tasks, and use an AI assistant that answers natural-language questions about technical status and activity.
Core capabilities highlighted include:
AI construction software is increasingly used to process large volumes of project data faster than manual review. When properly integrated, these tools let teams compare current progress against past jobs, spot likely delays, and adjust plans before problems grow. AI can analyze material costs, labor schedules, and equipment availability to improve budgeting and resource planning. It can also surface patterns that point to safety risks or recurring cost overruns so managers can act earlier.
Beyond detection, the value comes from tying insights to workflows: automated notifications, role-based task assignments, and a single place for updates reduce missed messages and duplicated effort. Over time, collected project data can help AI models provide better forecasts, creating stronger benchmarks for future builds.
The company reports adoption by about 50 construction firms and says its platform helped a large chipmaker accelerate fab construction and avoid several weeks of delays on each site. These are company-reported outcomes and should be seen as such. The platform’s features are presented as tools for quality assurance teams and site managers to access building data quickly and to reduce the chance of defects and delays.
The $45 million Series D was led by Qumra Capital with participation from a group of investors. The firm plans to use proceeds to broaden product coverage across more stages of the construction lifecycle, to expand its North American operations, and to develop forecasting features that rely on historical project data.
Adoption of AI in construction is shifting from debating whether to use these tools to figuring out how to make them part of daily work. Successful rollouts often combine the software with staff training so teams can use AI outputs as part of core workflows. Firms investing in training report they meet client needs more consistently and adapt faster to changing site conditions.
The expanded integration was announced in a press release dated CHICAGO, Aug. 14, 2025. An earlier industry update on the company’s funding and growth was marked as updated in late May 2025. The enhanced Autodesk connection is available globally to customers who use Autodesk Construction Cloud and the platform.
The integration syncs issue data detected by the site platform into Autodesk Build so teams can see, manage, and resolve issues inside their core project workflow.
A late-stage round of $45 million was led by Qumra Capital with participation from several investors. The company’s total outside funding now stands at $166 million.
Site images come from 360-degree cameras mounted on hard hats and are processed by the platform’s AI models to produce task lists, error flags, and progress metrics.
The AI assistant answers natural-language questions about project status, can retrieve detailed activity data, and helps field teams find technical information quickly.
The enhanced integration with Autodesk Construction Cloud is available globally to customers who use the Autodesk platform.
The company reports examples of reduced delays and cost savings for customers, but results will vary by project and depend on how the tool is used alongside teams and processes.
Firms should plan for staff training, data integration into existing workflows, and clear processes for acting on AI-driven insights to get the most value.
| Feature | What it does | Potential impact |
|---|---|---|
| Autodesk sync | Automatically sends flagged site issues into Autodesk Build for resolution. | Reduces platform switching and speeds issue handling. |
| AI and computer vision | Processes 360° camera footage to detect missing work or errors against plans. | Improves defect detection and quality control early. |
| Progress analytics | Tracks activity pace and predicts schedule risks. | Helps managers reallocate resources to avoid delays. |
| AI assistant | Responds to plain-language queries about task status and details. | Speeds access to technical info on site. |
| Historical benchmarking | Uses past project data to forecast performance and benchmark activity. | Enables better planning and more accurate forecasts. |
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