San Francisco-based startup Loop has announced a $95 million Series C funding round, marking a significant milestone in the race to modernize global logistics. Led by Valor Equity Partners and the Valor Atreides AI Fund, the round includes participation from heavyweights such as 8VC, Founders Fund, Index Ventures, and J.P. Morgan’s Growth Equity Partners.
The capital infusion comes at a critical juncture for global trade. As geopolitical volatility and economic shifts continue to disrupt traditional logistics, companies are increasingly turning to artificial intelligence to move beyond simple automation toward true operational intelligence.
From “Checkups” to “Longevity”: The Loop Vision
Most supply chain software acts as a diagnostic tool—it tells a company what went wrong after a shipment is delayed or a cost spikes. Loop aims to move much further up the value chain.
Co-founder and CTO Shaosu Liu compares the current state of the industry to a basic medical checkup: knowing you need to walk more is helpful, but it doesn’t solve the underlying health issues. Loop’s goal is to act as a “healthcare provider” for supply chains, offering predictive and prescriptive insights that prevent problems before they occur.
To achieve this, Loop addresses one of the industry’s most persistent headaches: unstructured data. Much of the world’s logistics information is trapped in “messy” formats like non-searchable PDFs, handwritten notes, and fragmented digital messages. Loop uses a specialized AI harness—combining in-house models with frontier AI—to structure this data, allowing companies to:
– Identify hidden leaks in time and capital.
– Mitigate the risks of over-supplying or under-supplying products.
– Automate complex workflows that previously required manual entry.
A Growing Race for Logistics Intelligence
Loop is not alone in this pursuit, but its approach distinguishes it from others in a crowded field. While startups like Deliverr focus on freight automation and Amari AI targets customs brokerage, and established giants like Uber Freight and Flexport push their own AI integrations, Loop is positioning itself as the “intelligence layer” of the entire ecosystem.
By integrating directly with Enterprise Resource Planning (ERP) software and Transportation Management Systems (TMS), Loop is gathering a holistic view of the supply chain—from suppliers and warehouses to the final delivery stage.
“Through the AI systems they’ve built, they’re taking data that was previously fragmented and inaccessible and are turning it into intelligence that improves cost, processes, and working capital,” said Antonio Gracias, CEO of Valor.
The Speed of AI Evolution
The rapid advancement of AI technology has fundamentally changed the timeline for companies like Loop. CEO Matt McKinney noted that when the company was founded, they expected the necessary technological “tipping point” to arrive around 2030. Instead, that moment has arrived much sooner.
Rather than viewing this rapid acceleration as a threat, Loop is using its new funding to:
1. Aggressively recruit engineering talent, which remains one of the most competitive sectors in tech.
2. Deepen product capabilities, moving from simple cost-saving measures to building long-term supply chain resilience.
Conclusion
By turning fragmented, unstructured data into actionable intelligence, Loop is attempting to build a “moat” of specialized expertise that general AI models cannot easily replicate. If successful, the company will move from simply fixing broken supply chains to actively managing them in real-time.
