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Safie has introduced Safie AI Studio, a new platform designed to build and deploy AI models directly on video data. The shift is strategic. Cameras are no longer just for recording incidents. Safie wants them to actively analyze situations and trigger decisions.
AI as a kind of text conversion engine enables the transformation of AI into a platform that allows users to either apply pretrained AI models of their own data (and retrain it) or build models from scratch. The pitch is practical. Reduce cost. Cut development time. Remove technical friction. AI adoption in physical industries has been slow because it is complex and expensive. セーフィー is trying to compress that cycle.
With more than 300,000 cloud cameras already deployed, the company brings scale and real world data into the equation. Edge AI is used to manage processing costs and improve deployment efficiency. The transition from Genba DX to Genba AX signals a move from digitizing worksites to enabling AI driven judgment on the ground.
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Industries facing labor shortages such as construction, retail, manufacturing, and care services are the immediate targets. The broader bet is clear. Video data is not just evidence. It is infrastructure for automation and faster on site decision making.
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