With consumers becoming increasingly reliant on online channels to secure goods, they no longer have the ability to inspect items for defects at the time of purchase. This burden now falls onto the manufacturer and distributor, resulting in an increased focus on quality control. Advancements in AI and connectivity allow manufacturers to now implement solutions at the factory level to optimize manufacturing efficiency. Elementary is an automated quality assurance platform that leverages AI and cameras to provide visual inspections for manufacturers to detect defects early. The platform is adaptable and uses no-code AI so that inspections can be adaptable and customized to specific use cases; AI-based vision yields 90% more defect detections and can be deployed in less than 30 minutes. The implementation of a machine vision solution also allows manufacturers to drive quality, eliminate wastage, identify problem areas, and reduce the possibility of returns while optimizing operational processes. With supply chain constraints across the globe, Elementary also provides reassurance and peace of mind to importers and brands that are now waiting months for goods in transit that may not be able to be sold upon local inspection. LA TechWatch caught up with Elementary Founder and CEO Arye Barnehama to learn more about how Elementary’s technology is making the supply chain more resilient and efficient, the company’s strategic plans, and latest round of funding from investors that include Tiger Global, Threshold Ventures, Fika Ventures, Fathom Capital, Riot VC, and Toyota Ventures.