Buildots expands Autodesk integration and raises $45M to advance AI on job sites

Buildots expands Autodesk integration, raises $45 million in Series D as AI-driven construction management gains momentum

The company behind an AI and computer-vision platform for on-site progress tracking has broadened its integration with Autodesk Construction Cloud, setting up a streamlined workflow for identifying, raising, and resolving issues across projects. A press release dated in CHICAGO on Aug. 14, 2025 announced a $45 million Series D round led by a leading growth investor with participation from several other firms. The funding brings total outside financing to roughly $166 million, underscoring growing investor interest in data-driven project management. The integration expansion is described as foundational to a broader approach called Performance-Driven Construction Management, or PDCM, which aims to align planning, execution, and finance across all stages of a project.

Across the industry, digital tools and AI-powered software are accelerating the shift toward more coordinated and flexible construction management. By processing large amounts of information quickly, AI platforms are positioned to help teams compare data from past jobs, spot potential delays, and adjust plans before problems arise. In practical terms, this means faster budgeting, clearer views of material costs and labor needs, and a single, shared place for updates and communications among contractors, suppliers, and site staff. The current wave of tools is characterized by real-time notifications, automated task assignments, and early warnings that support safer work sites and steadier progress toward deadlines.

What the Autodesk integration adds

The enhanced integration with Autodesk Construction Cloud connects Buildots’ on-site insights with Autodesk Build, creating a unified flow for issue data at the point of need. The aim is to help project teams identify and raise issues more efficiently and resolve them without leaving the core platform. Buildots already had an automatic feed from Autodesk for designs, and the new capability expands how on-site findings are translated into actionable tasks. Officially, the integration emphasizes making issue data more usable and impactful for project teams who must stay on track and within budget.

Product leaders describe the move as a step toward a common, enterprise-grade standard for construction data. The integration is available to all Buildots customers who operate within Autodesk Construction Cloud, and the company notes that the move is designed to support projects through every life-cycle phase. A senior product executive from Buildots highlighted the goal of delivering relevant insights where teams need them most and enabling action without leaving the central platform. This approach is presented as a practical way to improve coordination across multifirm teams working on large-scale builds.

Funding details and intended use

The latest funding round was led by Qumra Capital, with participation from OG Venture Partners, TLV Partners, Poalim Equity, Future Energy Ventures, and Viola Growth. The capital will be used to expand Buildots across North America and to broaden the platform’s reach into more stages of the construction life cycle. Part of the plan involves developing new AI features that can forecast performance for future projects using historical data, further strengthening the platform’s predictive capabilities and decision-support tools.

In practical terms, the investment supports scaling a data-driven approach that relies on a growing dataset generated from on-site footage captured by 360-degree cameras worn by construction managers. The emphasis is on turning site data into measurable metrics that guide scheduling, budgeting, and risk mitigation. The approach also includes expanding regional operations and enhancing the research and development team to accelerate feature delivery for a broader base of customers.

Adoption, use cases, and measurable claims

The system collects and analyzes on-site information to track progress, highlight deviations from the plan, and flag potential delays. By consolidating analytics and updates in a single view, project teams can quickly see which tasks are ahead of or behind schedule and adjust resources accordingly. The platform also includes an AI assistant that can retrieve project data through natural-language prompts, making it easier for team members to drill down into specific activities, such as the status of a particular wiring task or the progress of an equipment installation. An analytics dashboard monitors the pace of each activity and can reveal cadence patterns, such as the average rate of installing a chosen component per week.

In addition to progress tracking, the platform provides a spreadsheet-like area for managing subcontractor payments and aggregates higher-level metrics such as total tasks completed in a given period. The data foundation comes from footage captured by cameras on construction managers, which is then processed by internally developed AI models trained on a broad set of construction-related data points. The company says its platform has been adopted by around fifty construction firms and is being used to support the expansion of a major semiconductor fabrication network, with Intel named as a user in this context. Reported benefits include shorter construction timelines and cost reductions associated with more predictable, data-informed decision-making.

Safety, quality, and efficiency focus

AI-enabled insights are described as enabling more precise budgeting and helping keep projects on track. The technology is presented as capable of spotting patterns that indicate where accidents or costly mistakes might occur by reviewing site images, sensor data, or past reports. Real-time video and sensor data analyses are highlighted as tools to warn teams about unsafe conditions, such as the absence of protective gear or misplaced equipment, with early warnings designed to help managers take corrective actions and keep people safe while maintaining momentum on construction activities. The approach also includes automated checks that compare site images against blueprints and flag any discrepancies that could lead to defects later in the build.

Outlook and ongoing development

Beyond current capabilities, Buildots plans to expand its North American presence and invest in new AI features that project future performance based on historical data. The company emphasizes that ongoing adoption of AI in construction is moving from debates about whether to use the technology to how best to weave it into daily workflows. The broader market narrative points to improvements in cost control, quality assurance, and safety outcomes as central drivers for more widespread use of AI-enabled platforms on active construction sites.

In sum, the combination of a scalable Autodesk integration, a growing Series D round, and a track record of real-world usage signals a shift toward more predictive, data-driven project management in construction. The evolving AI toolkit aims to give teams a clearer view of needs, tighter control of budgets, fewer surprises, and steadier progress toward project completion.

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