TLDR: DroneDeploy has launched Progress AI, an innovative agentic AI solution that automates construction jobsite progress tracking using visual data from drones and 360-degree cameras. This new tool delivers detailed, real-time reports in minutes, significantly reducing manual effort and improving project visibility.
San Francisco, CA – DroneDeploy, a leading reality capture and robotics platform, has announced the launch of Progress AI, a groundbreaking artificial intelligence solution designed to revolutionize construction progress tracking. Unveiled on July 22, 2025, Progress AI leverages advanced vision-language models (VLMs) to automate the analysis of visual data captured from drone flights and 360-degree walkthroughs, providing instant, objective insights into jobsite conditions.
Traditionally, tracking construction progress has been a time-consuming and often manual task, involving superintendents spending hours coloring paper plans, chasing updates, and compiling fragmented reports. Progress AI aims to eliminate this friction by transforming simple site capture into automated, highly accurate progress reports, freeing field teams to focus on execution rather than documentation.
At its core, Progress AI interprets real-world visual data, understanding what it ‘sees’ rather than just reading text. This enables jobsite analysis with far greater accuracy, contextual awareness, and speed. The system generates detailed progress data, including percent complete breakdowns by trade and location, within minutes of uploading captured imagery. This stands in stark contrast to legacy methods that could take days.
One of the platform’s most unique features is its conversational interface, allowing superintendents and project managers to ask questions like, “What did our drywall crew complete this week?” and receive instant, image-backed responses based on the latest site data. This makes the technology highly accessible and intuitive for on-site personnel.
Progress AI is built on DroneDeploy’s proprietary visual intelligence dataset, which spans billions of square feet of ground-level data and millions of acres of aerial imagery across various sectors including construction, energy, infrastructure, and agriculture. The AI model is continuously trained to detect started and substantially completed work, track changes, and quantify progress with human-level accuracy, improving as more data is captured.
The solution is designed to be lightweight and scalable, requiring no complex BIM model setup or credit-heavy software packages. Users simply capture imagery, upload it, and receive visual heatmaps and structured insights showing work-in-place status, often within the same day. This affordability and ease of use make it viable for projects of all sizes, from tenant fit-outs to large-scale data centers.
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During beta tests, superintendents utilized Progress AI to validate subcontractor pay applications in hours instead of days and to spot out-of-sequence trade stacking before it led to schedule slippage. The system also helps identify schedule risks, resolve trade conflicts, improve coordination between teams, and increase visibility across entire project portfolios. In essence, Progress AI acts as an ‘extra set of superintendent eyes,’ providing tireless and comprehensive monitoring of site conditions.
