Loop is a San Francisco-based AI company building a verticalized, full-stack platform for the logistics and supply chain industry. Founded by Matt McKinney and Shaosu Liu, who met while working at Uber, Loop initially launched as a freight audit and payment (FAP) service that reconciled invoices against contracts and shipments. The company has since expanded that wedge into a comprehensive AI platform that helps enterprises ingest, standardize, contextualize, and act on the sprawling, unstructured data that flows through global supply chains.
At the heart of the platform is DUX, a proprietary family of models and AI agents engineered specifically for the document-, data-, and domain-heavy reality of logistics. Logistics data lives in PDFs, EDI feeds, emails, rate sheets, bills of lading, and dozens of disconnected systems. DUX combines document understanding, data normalization, and domain reasoning with execution, allowing Loop to automate workflows that previously required armies of analysts to reconcile manually.
Beyond audit and payment, Loop's platform now targets predictive disruption management, helping supply chain teams anticipate delays, cost overruns, and exceptions before they cascade. The company positions itself as an operating layer that sits across a shipper's transportation network, turning messy operational data into accurate, actionable decisions.
Loop raised a $95 million Series C led by Valor Equity Partners and the Valor Atreides AI Fund, with participation from 8VC, Founders Fund, Index Ventures, and J.P. Morgan Growth Equity Partners. The funding is being used to expand the platform across more enterprise use cases, deepen engineering capabilities, and recruit top AI talent. Loop competes for the same enterprise logistics budgets as legacy TMS and freight-tech vendors but differentiates on AI-native infrastructure built from the ground up for supply chain data.