AI-powered construction site monitoring with connected cameras and timelapse
TimeLapse Go' operates a construction site monitoring platform built on AWS, Docker, and computer-vision models (PyTorch, OpenCV, YOLO). The engineering-focused hiring mix (5 engineers across mid and junior levels) reflects active work on AI feature development, dataset annotation, and ML training pipelines—indicating a company scaling computer-vision capability rather than relying on off-the-shelf vision APIs. Core use case centers on real-time visual documentation via connected cameras and drone imagery to reduce project disputes and improve site safety.
TimeLapse Go' provides AI-assisted monitoring and timelapse documentation for construction projects in France. The platform combines connected site cameras, drone imaging, and automated computer-vision analysis to create continuous visual records of construction progress. Stakeholders gain real-time transparency into project status, reducing manual site visits and improving communication between general contractors, subcontractors, and owners. The company operates from Boulogne-Billancourt and has been building in this space since 2016.
PyTorch, OpenCV, and YOLO for model training and inference; AWS and Docker for infrastructure; drone and connected camera hardware for data capture.
AI feature development for construction monitoring, dataset annotation for computer vision, ML training pipelines, real-time site monitoring, and drone imaging integrations.
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