Startup Shin K is using robotics and computer vision to process American-caught fish within the U.S. [1].
This shift addresses a critical vulnerability in the domestic food supply chain. By bringing processing facilities home, the company aims to reduce the strategic dependence on foreign infrastructure for essential food production.
Speaking at the StrictlyVC conference in Los Angeles this week, Shin K founder and CEO Saif Khawaja said the company is building a vertically integrated supply chain [1]. Khawaja and Delian Asparouhov of Founders Fund spoke with TechCrunch Editor in Chief Connie Loizos about the current state of the industry [1].
According to the discussion, more than 90% of fish caught in American waters is processed overseas [1]. This reliance primarily involves facilities in China, which creates a logistical gap between where the resource is harvested and where it is prepared for market [1].
Shin K intends to close this gap by deploying robotic systems capable of handling the labor-intensive aspects of fish processing. The company's approach combines hardware and software to automate tasks that previously required large amounts of manual labor, which has historically driven processing offshore [1].
By automating the process, the startup seeks to make domestic processing economically viable. This strategy focuses on improving supply-chain control, and ensuring that the value added during the processing stage remains within the U.S. economy [1].
“More than 90% of fish caught in American waters is processed overseas.”
The effort to onshore fish processing represents a broader trend of 'reshoring' critical infrastructure through automation. If successful, Shin K's model could reduce the risk of supply chain disruptions caused by geopolitical tensions or international shipping delays, while potentially lowering the carbon footprint associated with transporting raw seafood to Asia and back.
