DeepInspection, from Nextml, is an AI-powered damage detection platform: machine learning models process large image datasets – terabytes of photos – to automatically identify physical damage on infrastructure and other assets. Rather than a general-purpose vision API, it’s purpose-built for the specific task of spotting damage at a scale manual visual review can’t match.
A cited real-world deployment on railroad infrastructure damage detection gives the product a concrete proof point beyond marketing claims – automatically flagging damage across huge photo sets is exactly the kind of labor-intensive, safety-relevant inspection work that doesn’t scale with manual review, and where a missed defect carries real consequences.
DeepInspection targets organizations managing large physical-asset portfolios – rail, utilities, and other infrastructure operators – where systematic damage detection at scale matters. Pricing has not been published; contact the company directly.
