This is like having a smart time-lapse supervisor on your construction site that watches the building go up, compares what it sees to the project schedule, and automatically updates your progress plan for you.
Manual progress tracking on construction sites is slow, subjective, and error-prone, making it hard to know if projects are on schedule and where delays are emerging. This tool automates progress recording by analyzing visual/site data and mapping it to the digital construction schedule.
Domain-specific computer-vision models and workflows for construction progress tracking, combined with historical site data and integration into existing construction schedules and project-management tools.
Hybrid
Vector Search
High (Custom Models/Infra)
Scaling image/video processing and storage across many parallel construction sites while keeping inference costs and latency acceptable.
Early Adopters
Focuses specifically on construction-site progress tracking and schedule digitization rather than generic computer-vision analytics, embedding AI into a schedule-centric workflow for project managers and site teams.