Chicago, August 20, 2025
News Summary
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.
Buildots expands Autodesk integration and closes $45M Series D
CHICAGO, Aug. 14, 2025 — A construction technology company announced an expanded connection with a major construction cloud product and closed a late-stage funding round worth $45 million. The software is already in use on large industrial projects and by roughly 50 construction firms, according to company materials.
Top takeaways
- The integration synchronizes issues identified by the platform with the construction cloud tool, creating a single workflow for issue tracking and action.
- The funding round, led by an investment firm, brings the company’s total outside funding to $166 million.
- The platform combines AI and computer vision to track progress, flag risks, and help teams make data-driven decisions.
What changed and why it matters
The expanded connection links the platform’s issue detection directly into the construction cloud product so teams can see and act on problems without moving between systems. The integration builds on an earlier feature that automatically ingests design files, and it is described as a core element of the company’s approach to what it calls Performance-Driven Construction Management (PDCM). The new sync is available globally to customers of the platform who use the construction cloud service.
Funding and growth
The company raised $45 million in a Series D round led by a private investment group, with participation from several venture and growth investors. The financing is intended to expand the firm’s presence in North America, grow research and development teams, and add new AI features that forecast project performance using historical data. The company reports having more than 230 employees and says it has shifted customer buying behavior from single projects to multi-year enterprise deals.
How the technology works
The platform uses head-mounted 360-degree cameras, AI trained on millions of construction data points, and cloud analytics to build a visual record of job sites. It matches photos and video to plans, tracks progress against schedules, and highlights tasks that may cause delays. A chatbot-style assistant lets users request specific technical information in plain language, for example checking the status of a particular system. An analytics dashboard shows performance metrics such as task pace and predicted completion dates. There is also a spreadsheet-like view for tracking subcontractor payments and high-level summaries like monthly task totals.
Safety, quality and cost control
The software is positioned to help managers spot unsafe conditions and likely errors by reviewing images, sensor streams, and past reports. It can warn about missing protective gear or equipment left in hazardous spots and can flag items that don’t match the blueprint, which can reduce defects later. Cost-monitoring features review invoices and budgets to identify trends—such as materials routinely over budget or slower subcontractor performance—so teams can act earlier to change suppliers or schedules.
Claims and adoption
The company says its tools helped a major chipmaker and other clients reduce delays and lower costs, citing an example of avoiding roughly four weeks of delay per factory on some projects. The platform is described as being used on large-scale projects across North America and EMEA and adopted by about 50 construction companies. These figures are reported by the vendor and have not been independently verified here.
Industry context
Construction managers are increasingly using digital tools and AI to plan, coordinate and react faster when issues arise. Artificial intelligence can process large volumes of data more quickly than a person, compare current work to past projects, forecast supply and labor needs, and suggest actions based on facts rather than guesswork. Firms that train staff to use these tools report smoother operations and better ability to meet client needs, shifting the industry conversation from whether to use AI to how to integrate it into day-to-day workflows.
What’s next
Proceeds from the financing are slated for North American expansion and development of predictive features that use historical project data to benchmark and forecast future performance. The company plans to broaden coverage across more construction phases and continue building out its R&D teams.
Contact and source note
Media contact listed by the company: buildots@concrete.media. The integration references a registered construction cloud product owned by its parent company.
FAQ
Q: What does the new integration do?
A: The integration syncs issue data found by the platform with the construction cloud product so teams can review and act on problems in a single workflow.
Q: Who uses the software?
A: The vendor reports customers include industrial builders and roughly 50 construction firms, with examples of use on large factory projects.
Q: How does the platform collect site data?
A: It captures images and video with 360-degree cameras mounted on hard hats and processes that media with AI models trained on construction data.
Q: What kinds of problems can AI help identify?
A: AI can flag potential delays, blueprint mismatches, safety risks, budget overruns, and scheduling conflicts by comparing site imagery, schedules, and financial records.
Q: What will the new funding be used for?
A: The company plans to expand in North America, grow its R&D teams, and develop predictive AI features that draw on historical project data.
Key features at a glance
| Feature | What it does | Why it helps |
|---|---|---|
| AI & Computer Vision | Analyzes images and video to track progress and detect issues | Speeds detection of defects and delays |
| 360-Degree Camera Capture | Collects a visual record from hard-hat cameras | Creates a consistent source of site data for review |
| Autodesk Cloud Sync | Pushes identified issues into a construction cloud workflow | Reduces switching between systems and improves follow-up |
| Chatbot Assistant (Dot) | Retrieves technical project details via natural-language prompts | Makes it faster for teams to find specific status updates |
| Analytics & Forecasting | Shows pace, predicts delays, and tracks performance | Helps managers prioritize actions and plan resources |
| Cost & Payment Tracking | Monitors invoices and subcontractor payments | Highlights cost trends and potential overspend |
Deeper Dive: News & Info About This Topic
Additional Resources
- Your Wyoming Link: Buildots expands Autodesk integration
- Wikipedia: Buildots
- SiliconANGLE: Buildots raises $45M
- Google Search: Buildots Autodesk integration
- TechCrunch: Buildots raises $45M to help companies track construction progress
- Google Scholar: AI construction management
- PR Newswire: HammerTech debuts AI-powered safety capabilities
- Encyclopedia Britannica: construction industry
- Facilities Dive: Data-center construction and AI boom
- Google News: data center construction AI
Author: Construction TX News
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