Loop Raises $95m to Make Supply Chains Think Ahead Instead of Just React

San Francisco startup Loop is out to do more than patch up the world’s notoriously tangled supply chains. It wants to give them something closer to foresight — turning fragmented, chaotic data into clear, forward-looking recommendations that help companies avoid trouble before it starts. Think of it as the difference between a doctor who simply notes your high blood pressure and one who builds a complete plan for long-term health.

That bigger vision just earned the company a $95 million Series C round, led by Valor Equity Partners and its Valor Atreides AI Fund. 8VC, Founders Fund, Index Ventures, and J.P. Morgan’s Growth Equity Partners also joined, according to TechCrunch.

The fresh capital arrives at a moment when engineering talent is scarce, and supply chain headaches are anything but. Co-founders Shaosu Liu (CTO) and Matt McKinney (CEO) met at Uber and plan to spend heavily on hiring to keep the momentum going. Both know firsthand how brutally complex global logistics can be, and they designed Loop to attack the problem at its root: the flood of messy, unstructured information that still clogs most operations.

Register for Tekedia Mini-MBA edition 20 (June 8 – Sept 5, 2026).

Register for Tekedia AI in Business Masterclass.

Join Tekedia Capital Syndicate and co-invest in great global startups.

“I do an annual checkup, and it’s like, oh I should be walking more,” Liu said in an interview. “But that’s not the end goal, right? The end goal is someone teaching me about nutrition, someone teaching me about longevity.”

Loop starts by taking the worst of that mess — scanned PDFs without readable text, handwritten notes, emails, Slack messages — and turning it into clean, structured data. It does this through a custom “harness” that orchestrates multiple AI models at once, some built internally and others drawn from the latest frontier systems.

The result is fast, practical wins: customers can spot where they’re losing money or time, flag risks of running out of stock or sitting on too much inventory, and automate tasks that once ate up entire teams.

Those early savings can run into the thousands of dollars almost immediately. But Liu and McKinney are aiming higher. They are now feeding the system deeper data by connecting directly to customers’ enterprise resource planning software, transportation management systems, supplier portals, and warehouse feeds.

The more context Loop absorbs, the more it shifts from simply diagnosing problems to prescribing solutions — rerouting shipments before delays hit, adjusting orders ahead of demand spikes, even flagging strategic changes in sourcing that could cut costs or reduce risk for years.

Valor founder, CEO, and chief investment officer Antonio Gracias put it plainly: “Loop went deep into one of the hardest parts of the supply chain and turned it into an advantage for their customers. 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. That foundation extends into other operational and financial functions, which is why Loop is positioned to become the intelligence layer of the entire supply chain.”

Liu sees the investment from Valor, a firm known for its big bets on Elon Musk’s xAI, as powerful validation. He noted that the due diligence was unusually thorough, focused heavily on whether Loop’s approach could hold up as frontier models evolve.

“They have access to the top AI researchers, and a visionary in the space,” Liu said. “I think it’s very clear that no one’s really going after the domain we are going after with the same rigor, with the same talent.”

McKinney admits the founders originally figured the underlying AI technology wouldn’t be ready for what they wanted until around 2030. The pace of progress has blown past that timeline, but he views it as an advantage rather than a threat. It lets Loop push further and faster, delivering bigger savings, sharper risk reduction, and genuine resilience to customers operating in an unpredictable world.

“Our belief is that this is one of those points in time where the companies that really lean in, their advantage is going to compound,” McKinney said. “I think 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.”

The bet feels well timed given that supply chains have been battered by everything from pandemic snarls to Red Sea disruptions and recent Middle East flare-ups. That pain has sparked a rush of AI investment across the sector.

Deliverr’s founder raised $85 million late last year to automate freight work. Amari AI came out of stealth in February, targeting customs brokers. Even heavyweights like Uber Freight and Flexport are pouring money into their own AI tools. Flexport CEO Ryan Petersen, an early Loop investor, understands the stakes.

What sets Loop apart is its focus on the messy middle, the unstructured data most systems still choke on, and its insistence on building an orchestration layer rather than betting everything on any single model.

In a world where raw AI capabilities are becoming more commoditized, the real edge may lie in knowing exactly how to weave those capabilities together for one of the economy’s most stubborn problems.

If Loop can deliver on its promise, it won’t just clean up supply chains. It could quietly become the invisible brain behind more resilient, efficient, and profitable global operations.