Loop raises $95 million to build an AI-powered supply chain that predicts disruptions

Supply chains are messy. San Francisco startup Loop isn’t just helping companies clean up their supply chains. Instead, the startup uses artificial intelligence to provide companies with predictive, and even prescriptive, treatments, just like an ideal healthcare provider.

“I get an annual checkup, and it feels like I should walk more,” Loop co-founder and CTO Xiaosu Liu said in an interview. “But that’s not the ultimate goal, is it? The ultimate goal is for someone to teach me about nutrition, someone to teach me about longevity.”

This approach helped Loop secure a $95 million Series C funding round from some of Silicon Valley’s most influential backers, the company announced Friday. The round was led by Valor Equity Partners and the Valor Atreides AI Fund, and includes investments from 8VC, Founders Fund, Index Ventures, and JP Morgan’s late-stage fund, Growth Equity Partners.

The funding comes at a time when engineering talent is one of the hottest commodities in technology. Both Liu and his co-founder (and CEO) Matt McKinney — who met while working at Uber — said they will use much of that capital on hiring.

But it’s also a volatile moment for any company with a global supply chain, and that’s helped drive investment into startups that are using AI to adapt.

Deliverr founder Harish Abbott raised an $85 million funding round late last year to help with automation The work done by shippers and carriers. A startup founded by former Google and LinkedIn engineers called Amari AI emerged in February with the goal of: Helping customs brokers modernize And their old systems. And well-established players like Uber for shipping and Flexport They are making big pushes for artificial intelligence as well. (Ryan Petersen, founder and CEO of Flexport, is an early investor in Loop.)

The loop step is fairly straightforward. The company helps its clients take unstructured data — PDF files that do not contain visually recognizable characters, paper, or digital messages — and give it structure, in order to automate tasks. Loop makes automation possible by developing a tool that coordinates multiple AI models. Some are developed internally, others are parametric models.

This helps Loop customers better identify where they might lose money or time, or detect the risks of over- or under-supplying a particular product. Loop’s founders say the system is effective enough that it can save customers thousands of dollars pretty much immediately.

But as Liu said, the goal is to go much further — predictive, rather than just diagnostic.

To achieve this, Loop has begun incorporating newer types of data from its customers. It integrates with customers’ ERP software and transportation management systems, collecting more data from suppliers, warehouses and other interconnected components of the supply chain.

“Loop has delved into one of the most difficult parts of the supply chain and turned it into an advantage for its customers,” Antonio Gracias, founder, CEO and chief investment officer of Valor, said in a statement. “With the AI ​​systems they create, they take data that was previously fragmented and inaccessible and turn it into intelligence that optimizes cost, operations and working capital. This foundation extends to other operational and financial functions, which is why Loop is positioned to become the intelligence layer for the entire supply chain.”

Liu sees Gracias’ support for Loop as a major validation of the work his startup is doing, considering Valor is one of the biggest backers of Elon Musk’s xAI. In a world where AI startups are constantly looking to frontier labs as they try to dig a moat, Liu said Valor has done “very deep due diligence on how defensible Loop’s business is.”

“They have access to the best AI researchers and visionaries in the field,” he said, referring to Musk. “I think it’s pretty clear that no one really pursues the field that we pursue with the same rigor and with the same talent.”

McKinney said he and Liu founded Loop on the assumption that the AI ​​technology required to do what they do would not be the limiting factor. But he and Liu assumed the technology wouldn’t reach that tipping point until around 2030. Obviously, things are moving faster.

He told TechCrunch that this doesn’t bother him. Instead, McKinney said, it allows Loop to focus on offering more to its customers — higher savings, lower risk, and broader flexibility in an unpredictable world. Naturally, he believes that Loop’s customers are the ones most likely to develop into solid businesses no matter how chaotic things are at a given moment in time.

“Our belief is that this is one of those points in time where the advantages of the companies that really rely on it will multiply. I think the companies that you’ll look at in the next decade that (survive) are the companies that have really accelerated in this 12-month period.”