Loop Raises $95M for AI That Predicts Supply Chain Disruptions

In a world where global supply chains remain a primary source of operational and financial risk, a new wave of artificial intelligence is emerging to provide not just diagnostics, but predictive solutions. San Francisco’s Loop has secured a significant $95 million Series C investment to advance its mission of transforming chaotic supply chain data into actionable intelligence. The funding round, led by Valor Equity Partners and its Valor Atreides AI Fund, includes participation from prominent firms like 8VC, Founders Fund, Index Ventures, and J.P. Morgan’s Growth Equity Partners.

Loop’s founders, CEO Matt McKinney and CTO Shaosu Liu, compare their platform’s ambition to an ideal healthcare model. “An annual checkup might tell you to walk more, but that’s not the end goal,” Liu explained. “The real goal is a partner who teaches you about nutrition and longevity.” For Loop, this means moving beyond identifying problems to prescribing automated, predictive remedies for logistics and inventory issues.

The substantial capital infusion arrives during a period of intense competition for engineering talent and persistent global supply chain volatility. McKinney and Liu, who previously worked together at Uber, plan to direct much of the funding toward strategic hiring. Their timing appears prescient, as investment surges into AI for supply chain automation. This trend is evidenced by other recent ventures, such as Deliverr’s $85 million raise last year and the emergence of startups like Amari AI, while established players like Uber Freight and Flexport also make major AI investments.

At its core, Loop’s technology focuses on a fundamental pain point: unstructured data. The platform ingests everything from non-OCR PDFs and paper documents to digital messages, applying a proprietary harness that coordinates multiple AI models to structure and analyze this information. This automation of data processing enables clients to quickly pinpoint inefficiencies, such as areas where they are losing money or facing risks from inventory imbalances. The founders state the system can deliver savings numbering in the thousands of dollars almost immediately after implementation.

The company’s roadmap involves integrating deeper data streams from customer systems, including enterprise resource planning and transportation management software, while pulling more information from suppliers and warehouses. This expanding data foundation is what convinced lead investor Antonio Gracias of Valor. “Loop went deep into one of the hardest parts of the supply chain and turned it into an advantage,” Gracias stated. He believes the company is creating an “intelligence layer” that can improve cost, processes, and working capital across entire operations.

For Liu, securing backing from Valor, a major investor in Elon Musk’s xAI, serves as powerful validation. He noted that Valor conducted rigorous due diligence on the defensibility of Loop’s business model in a crowded AI field. “They have access to top AI researchers and a visionary in the space,” Liu said, referencing Musk. He believes Loop’s focused domain expertise and technical rigor set it apart from broader AI labs.

Interestingly, McKinney revealed that he and Liu founded the company assuming the necessary AI technology would not mature until around 2030. The accelerated pace of innovation has not been a setback but an opportunity to push their ambitions further. The focus now is on delivering even greater savings, reduced risk, and enhanced supply chain resilience for their clients.

McKinney argues that the current moment represents a critical inflection point. Companies that aggressively adopt such advanced operational intelligence will see their advantages compound. “The companies you’re going to look at in the next decade that survive are the companies that really accelerated in this 12-month period,” he said. In his view, building a durable business in today’s chaotic environment requires leaning into these transformative tools.