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 tech company announced a larger software link with Autodesk Construction Cloud and a fresh $45 million Series D funding round as it pushes its AI and computer-vision tools into more building sites. The integration is designed to move issue data directly into a single workflow and the funding will be used to grow operations in North America and build new predictive features.
The company says its platform is already in use by about 50 construction firms and is being used by a major chipmaker to speed factory builds. The new integration will sync issues flagged by the company’s system with Autodesk Build, so teams can see and act on problems without switching tools. The Series D was led by Qumra Capital and included several other investors, bringing total outside funding to $166 million.
The expanded link with Autodesk Construction Cloud aims to make issue information more usable at the point of need. Where the platform previously could pull design files from Autodesk automatically, the new sync will push problems, photos, and status notes back into Autodesk workflows. The company describes this as a foundation for its Performance-Driven Construction Management (PDCM) approach, intended to support work across all project phases.
On-site data is collected mainly from 360-degree cameras mounted on managers’ hard hats. Those images are processed by in-house AI models trained on millions of construction data points to spot progress, errors, and safety issues. The platform provides a dashboard that tracks task speed and other metrics — for example, calculating how many sprinklers are installed per week — and includes a spreadsheet-style view for tracking subcontractor payments.
The platform offers a chatbot-style assistant called Dot that answers natural-language questions about project details, plus a visual interface to view images, floor plans, and outstanding tasks for a specific section. The software can flag deviations from blueprints, highlight tasks that may cause delays, and generate automated alerts to keep teams informed.
The company reports it has helped avoid roughly four weeks of construction delay per factory for one large client and says clients use the system to gain measurable data rather than fragmented reports. Adoption has focused on large-scale projects across North America and EMEA. The business also reports more than 230 employees and says it has signed multiple large, enterprise-level deals this year.
Construction management depends on coordination, planning, and quick fixes when problems occur. New digital tools and AI construction software let teams process far more data than a person alone, spot patterns, and act earlier. These systems can compare current projects to past ones, model material and labor needs, and forecast risks to deadlines and budgets. They can also push automated notifications so contractors, suppliers, and site teams get timely updates and avoid duplicated work.
AI-driven review of photos and video can point out safety issues like missing protective gear or equipment left in dangerous spots. The platform can also compare images with blueprints and flag items out of place, helping quality assurance teams deliver work to required standards and schedule repairs or corrections sooner.
AI tools can analyze invoices, receipts, and past project budgets to find recurring cost overruns or slower-than-expected subcontractors. Early detection of these patterns enables teams to consider alternative suppliers or adjust schedules before costs rise further. The company plans to use the new funding to expand AI features that forecast future project performance using historical data.
The enhanced integration is being offered globally to customers who use the company’s platform with Autodesk Construction Cloud. The vendor says the move is meant to let teams spot and resolve issues early and act on those insights inside the tools they already use.
The expanded integration and funding round were announced in a press release dated Aug. 14, 2025. A media contact address was included for follow-up: buildots@concrete.media.
The combined steps — deeper integration with a major cloud construction platform and a significant funding inflow — reflect how AI-powered tools are moving from one-off pilots toward broader enterprise use in construction. The changes aim to tighten links between field observations and project systems so teams can manage cost, schedule, and safety with more timely and data-driven decisions.
The system collects images and video from 360-degree cameras mounted on hard hats and other jobsite sources, then processes that footage with AI models to extract progress and safety information.
The integration pushes issues found by the platform into Autodesk Build workflows so teams can view and act on those items without leaving the main project tool.
The funding round was led by Qumra Capital with participation from several other investors. The round added $45 million, bringing total outside funding to around $166 million.
Reported benefits include faster issue detection, clearer progress tracking, fewer surprises on budget and schedule, and earlier safety warnings. The firm also reports use on large factory builds to reduce delays.
Yes, the enhanced sync with Autodesk Construction Cloud is available globally to customers who use the platform.
| Feature | What it does | Why it matters |
|---|---|---|
| 360-degree image capture | Collects visual data from site hard-hat cameras | Provides a continuous, visual record for progress and safety checks |
| AI / computer vision | Processes images to detect tasks, errors, and safety issues | Speeds up inspections and highlights problems earlier |
| Autodesk sync | Pushes identified issues into Autodesk Build workflows | Keeps all project participants working from the same issue list |
| Dot assistant | Answers project questions in natural language | Makes project data easier to access on demand |
| Analytics dashboard | Tracks task speed, progress, and high-level metrics | Helps forecast delays and prioritize actions |
| Forecasting tools (planned) | Uses historical project data to predict future performance | Aims to improve scheduling, budgeting, and resource planning |
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