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 Construction Cloud integration and closes a $45M Series D round
In a move aimed at speeding up digital transformation in construction management, Buildots announced a broadened integration with Autodesk Construction Cloud and disclosed a $45 million Series D funding. The financing is led by Qumra Capital with participation from several investors, bringing Buildots’ total outside funding to roughly $166 million. The company positions the expanded integration as a way to streamline issue data and action at the point of need, enabling project teams to stay on track and on budget across North America and EMEA.
The announcement places AI and computer-vision at the center of progress tracking on active sites. The combined offering is designed to help teams coordinate, plan, and adapt when problems arise, using data-driven insights to anticipate delays, optimize material and labor use, and align equipment availability with project steps. The overall goal is to reduce surprises by turning field information into actionable guidance through a single, data-rich workflow.
What the integration combines and how it works
The enhanced link between Buildots and Autodesk Construction Cloud centers on issue management and real-time data synchronization. Buildots already ingests design data from Autodesk, and the expanded integration adds a two-way path that helps flag, raise, and resolve issues within Autodesk’s platform while keeping Buildots’ on-site insights in constant alignment with design intent. The aim is to present a unified workflow where updates, changes, and progress notes are accessible where teams already operate, reducing duplication and missed messages.
Central to the offering is AI-powered construction software that processes large amounts of information quickly, drawing on data from site photos, sensor inputs, and historical project records. This enables managers to compare current progress to past jobs, spot potential delays, and adjust plans before problems escalate. The software can analyze material costs, labor schedules, and equipment availability to forecast needs for each step, supporting more precise budgeting and timely procurement. Automated notifications and alerts help keep contractors, suppliers, and managers aligned as tasks complete or changes occur.
How Buildots’ platform works on site and in planning rooms
The core system uses 360-degree camera imagery collected from hard hats to continuously track site progress. An AI engine, trained on millions of construction-related data points, analyzes footage to identify deviations from plans, delays, or unsafe conditions. A built-in analytics dashboard tracks the speed of each construction activity and projects whether deadlines will be met, while a spreadsheet-like interface helps managers monitor subcontractor payments and monthly task totals. A lightweight AI assistant called Dot allows team members to retrieve granular information with natural-language prompts, such as the status of a particular wiring run or the progress on a specific subsystem, without leaving the core workflow.
In addition, Buildots’ platform includes a visual review tool that lets users inspect a section of the building, view the related floor plan, and see outstanding tasks. The system can flag discrepancies that may lead to defects later in the project and provide early warnings to help teams act quickly. Regular AI-driven feedback aims to address issues before they cause delays or cost overruns. By aggregating project data, the platform supports forecasting, scheduling optimization, and more efficient purchasing—reducing waste and storage needs while minimizing shortages.
Scale, scope, and notable users
The expanded integration is available globally to all Buildots customers using Autodesk Construction Cloud, and the company frames the move as foundational to its broader Performance-Driven Construction Management PDCM approach. Buildots notes that its platform has been adopted by around 50 construction firms and has worked with major clients in its global footprint, including Intel, to accelerate fabrication facility programs. The company claims that its tools have helped Intel shorten delays by several weeks per fabrication unit and reduce overall costs, illustrating the potential impact of AI-enabled management on complex, large-scale projects.
Chicago-based Buildots emphasizes that the market is maturing from a focus on single-project tech deployments to long-term enterprise agreements, with several seven-figure deals signed in recent months. The new funding is slated to accelerate North American growth and to expand product capabilities that forecast project performance by learning from historical project data. Building on an on-site data collection model, the company intends to broaden coverage across more stages of the construction lifecycle and to extend its AI features to improve forecasting accuracy and decision-making across projects.
Outlook and implications for the industry
Industry observers view the combination of AI, computer vision, and integrated cloud workflows as a path to tighter collaboration among site crews, contractors, and suppliers. The Buildots–Autodesk integration aims to lower handling times for issue data, improve visibility across teams, and reduce the risk of schedule slippage and budget overruns. For project managers, the mix of real-time progress tracking, predictive analytics, and automated alerts can support quicker, data-informed decisions, potentially altering how construction firms plan, purchase, and allocate resources over the full project life cycle.
Overall, Buildots positions its expanded integration and new funding as proof points for how AI-driven platforms can move construction management from reactive problem solving to proactive, data-driven leadership across large-scale builds.
Frequently asked questions
- What is the essence of Buildots’ expanded integration with Autodesk Construction Cloud?
- The integration connects Buildots’ on-site progress tracking and issue management with Autodesk Construction Cloud to create a unified workflow where issues can be flagged, raised, and resolved within a single system, improving data accessibility at the point of need.
- What does the recent funding mean for Buildots?
- The $45 million Series D funding, led by Qumra Capital, supports expansion of the product, growth in North America, and development of new AI features to forecast project performance using historical data.
- How does Buildots’ technology track construction work?
- Buildots uses 360-degree camera imagery and AI models to monitor progress, compare current work with plans and past projects, forecast deadlines, and highlight risks or deviations from standards.
- Who are some notable users or customers mentioned in connection with Buildots?
- Intel is cited as a user benefiting from the platform, along with about 50 construction firms that have adopted Buildots’ technology.
- What are some key capabilities of the Dot AI assistant?
- Dot enables retrieval of granular project information through natural-language prompts, helping users quickly access specific status updates or details about construction activities.
- What are the planned future directions for Buildots?
- Plans include expanding North American presence, broadening AI features to forecast performance across more stages of the lifecycle, and continuing to train models on historical project data to improve accuracy and decision support.
Key features discussed in this article
| Feature | Description | Impact |
|---|---|---|
| Expanded Autodesk integration | Syncing Buildots issue data with Autodesk Construction Cloud to streamline workflows at the point of need. | Quicker issue resolution and unified data access across platforms. |
| AI-powered progress tracking | Processing site imagery and sensor data to monitor progress and predict delays. | Improved scheduling, budgeting, and risk management. |
| Dot AI assistant | Natural-language access to granular project information and status details. | Faster gathering of critical data for decision-makers. |
| 360-degree site data capture | Camera-based data collection from hard hats to track on-site work. | More accurate progress measurement and defect detection. |
| Forecasting and budgeting tools | AI analyzes material, labor, and equipment to forecast needs and costs. | Reduced waste and tighter control of budgets and schedules. |
| Global reach with North America growth | Availability of the integrated platform to international customers, with plans to grow in North America. | Broader market impact and enterprise-scale deployments. |