San Francisco-based startup Loop isn’t content helping companies merely clean up their supply chains. Instead, the startup is using AI to offer companies predictive, and even prescriptive, remedies — almost like an ideal healthcare provider. The end goal is someone teaching me about nutrition, someone teaching me about longevity.” The approach helped Loop secure a $95 million Series C funding round from some high-powered Silicon Valley 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 J.P. Morgan’s late-stage fund, Growth Equity Partners. The funding comes at a time when engineering talent is one of the hottest commodities in tech.
Both Liu and his co-founder (and CEO) Matt McKinney — who met while working at Uber — said they will deploy a lot of that capital toward hiring. But it’s also a volatile moment for any company with a global supply chain, and that has helped drive investment into startups that are using AI to adapt. Deliverr founder Harish Abbott raised an $85 million Series A round late last year to help automate work done by freight shippers and carriers.
A startup founded by former Google and LinkedIn engineers called Amari AI came out of stealth in February with the goal of helping customs brokers modernize their out-of-date systems. And entrenched players like Uber Freight and Flexport are making big AI pushes as well. (Ryan Petersen, Flexport founder and CEO, is an early investor in Loop.) Loop’s pitch is fairly straightforward. The company helps its customers take unstructured data — PDFs with no optically recognized characters, sheets of paper, digital messages — and give it structure, in order to automate tasks.
Loop makes the automation possible by developing a harness that coordinates multiple AI models. Some are developed in-house, and others are frontier models. This helps Loop customers better identify where they may be losing money or time, or spot the risks of over- or under-supplying a given product.
Loop’s co-founders say the system is effective enough that it can save customers thousands of dollars pretty much right out of the gate. But like Liu said, the goal is to go much further than that — predictive, instead of just diagnostic. To accomplish this, Loop is starting to incorporate newer types of data from its customers.
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