San Francisco-based startup Loop has raised $95 million in a Series C funding round to develop artificial intelligence tools that can predict and prevent supply chain disruptions before they occur.
The round was led by Valor Equity Partners and its Valor Atreides AI Fund, with participation from investors including 8VC, Founders Fund, Index Ventures, and J.P. Morgan Growth Equity Partners.
Founded by CEO Matt McKinney and CTO Shaosu Liu, who previously worked together at Uber, Loop is building an AI platform that converts unstructured supply chain data—such as PDFs, emails, and manual records—into structured, actionable insights.
The platform uses a combination of in-house and external AI models to automate workflows and help companies identify inefficiencies, reduce costs, and manage inventory risks. It can highlight issues such as overstocking, under-supply, and operational delays, often delivering immediate cost savings.
Loop’s broader goal is to move beyond diagnostics to predictive and prescriptive intelligence. By integrating with enterprise systems like ERP and transportation management tools, the platform aims to forecast disruptions and recommend actions—such as rerouting shipments or adjusting procurement—before problems escalate.
Commenting on the company’s approach, an investor noted that Loop is transforming fragmented and inaccessible data into intelligence that improves cost efficiency, processes, and working capital, positioning it as a potential “intelligence layer” for supply chains.
The funding comes amid rising demand for AI-driven supply chain solutions, as global logistics networks become increasingly complex and vulnerable to disruptions. Loop plans to use the capital to expand its engineering team and scale its platform across enterprise customers.
