ConeLabs

AI-powered inspection platform using drones and 3D modeling to detect defects in building exteriors and infrastructure

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About ConeLabs
ConeLabs is a Kitchener-based AI inspection platform founded in 2023 by a team of structural and AI engineers addressing the critical inefficiencies in infrastructure inspection. The platform uses drones to capture high-resolution images of infrastructure assets (bridges, buildings, utilities, railways), processes the imagery into precise 3D photogrammetric models, and deploys AI algorithms to automatically detect and categorize defects with engineering-grade accuracy. The system identifies issues such as cracks, infiltration, poor insulation, weather damage, subsidence, and pavement defects—analyzing dense point clouds and textures to provide comprehensive reports with precise location and severity quantification. ConeLabs emphasizes that drones are merely data collection tools; the core innovation lies in how the platform processes and analyzes the data. The web-based platform enables seamless collaboration among distributed teams, sharing high-resolution 3D models as web links viewable on consumer-grade computers. Applications span multiple sectors: buildings (envelope and structural analysis), utilities (power generation, water, telecommunications, oil/gas infrastructure), and transport (bridges, roads, marine infrastructure). Founded by Toronto engineers, the company moved to Kitchener to tap into the region's startup ecosystem. ConeLabs achieved breakthrough recognition at the Communitech Fast Track Cities showcase (November 2024), winning both the $25,000 best pitch award and Audience Choice Award. This led to selection for the Pitch Kitchener program and $100,000 in pilot funding for bridge and roadway inspections. Current focus includes a notable partnership with Ontario Centre of Innovation on Blue Water Bridge inspection. The platform is positioned to address critical infrastructure safety challenges across North America and expand globally.
Key Features

AI-powered defect detection

drone-based data collection

3D photogrammetric reconstruction

infrastructure inspection automation

multi-industry support (buildings

utilities

transport)

precise defect identification and reporting

asset lifecycle management

remote team collaboration

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