Loop Raises $95M Series C Funding to Build Supply Chain AI That Predicts Disruptions

Exclusive: Loop raises $95M to build supply chain AI that predicts disruptions | TechCrunch

Supply chains are messy. 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. "I do an annual checkup, and it's like, oh I should be walking more," Loop co-founder and CTO Shaosu 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." The approach helped Loop secure a $95 million in a 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 towards 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 a $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Engineers called Amari AI came out of stealth in February with the goal of helping customs brokers modernize their out-of-date systems.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. It's integrating with customers' enterprise resource planning software, transportation management systems, and hoovering up more data from suppliers, warehouses, and other interstitial components of the supply chain. "Loop went deep into one of the hardest parts of the supply chain and turned it into an advantage for their customers," said Valor founder, CEO and chief investment officer Antonio Gracias said in a statement. "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 Gracias' support of Loop as major validation of the work his startup is doing, considering that Valor is one of the biggest backers of Elon Musk's xAI. In a world where AI startups are constantly looking over their shoulders at the frontier labs while trying to dig a moat, Liu said Valor did "very deep diligence around how defensible" Loop's business will be. "They have access to the top AI researchers, and a visionary in the space," he said, in a nod to Musk. "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 said he and Liu founded Loop on the assumption that the artificial intelligence technology required to do what they're doing wouldn't be the limiting factor. But he and Liu assumed the technology wouldn't reach that tipping point until around 2030. Things are clearly moving faster. That doesn't bother him, he told TechCrunch. Instead, McKinney said it lets Loop focus on doing more for its customers -- higher savings, lower risk, and broader resilience in an unpredictable world. And, of course, he thinks Loop customers are the ones who are most likely to develop into a durable businesses regardless of how chaotic things are at a given moment in time. "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. 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," he said.

Supply chain AI startup Loop secures $95M investment - SiliconANGLE

Loop Payments Inc. today announced that it has raised $95 million in funding to upgrade its supply chain optimization platform. Valor Equity Partners and the Valor Atreides AI Fund led the Series C round. They were joined by several other institutional backers including J.P. Morgan Growth Equity Partners. The invoices that change hands when a company orders goods from a supplier or books space in a container ship often contain mistakes. Such errors can lead to unnecessary costs if they're not fixed. Loop has developed a family of artificial intelligence models, DUX, that can spot inaccurate supply chain invoices. It sells the algorithm series as part of a cloud platform that also automates several related tasks. DUX is based on what Loop describes as a custom architecture optimized to process physical supply chain documents. According to the company, its algorithms extract not only text but also data points such as the positioning of form fields and stamps. Those details enable DUX to interpret the supply chain information that it ingests more accuracy. After scanning a set of invoices, the AI normalizes the information they contain into a standardized form and links together related data points. It then uses AI agents to identify cost discrepancies. Loop says that it enables supply chain teams to complete freight expense audits in 2 hours instead of the several weeks usually required for the task. The platform can ingest not only invoices but also more specialized supply chain documents. It understands bills of lading, which acknowledge that a shipping company has taken a customer's merchandise onboard, and rate tables. A rate table lists the numerous pricing parameters that factor into freight transport bills. In addition to catching inaccurate invoices, Loop uses the documents that its AI models ingest to track the location of parcels. Supply chain teams can analyze that location information to detect shipping bottlenecks before they cause delays. Additionally, Loop says that the data surfaced by its platform helps customers negotiate more favorite rates from shipping partners. Another set of features promises to streamline the process of paying delivery companies. Some enterprises work with upwards of dozens of shipping partners that don't always use the same currency. According to Loop, its platform automates much of the billing workflow and makes it possible to request shipping discounts in exchange for early payment. "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 Valor founder and chief executive Antonio Gracias.

Loop Raises $95 Million to Bridge Supply Chain Data Gap | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The company will also invest in top artificial intelligence (AI) talent and deepen its product and engineering capabilities, it said in a Friday (April 17) press release. "We see every day how much pressure companies are under to manage supply chains through constant disruption, and how often critical decisions are still being made on top of fragmented data and brittle systems," Loop CEO and Co-founder Matt McKinney said in the release. "This investment lets us expand our platform and connect the financial and operational data that our customers need to make better decisions, faster." Loop helps companies reduce costs, improve financial and network visibility, and gain tighter control over working capital by structuring data and automating the processes around it, according to the release. The platform is powered by its DUX family of artificial intelligence (AI) models and agents that are built for logistics and supply chains. The company started with a focus on back-office operations, where the data is siloed and the financial impact is high, the release said. Now, Loop is expanding its platform across supplier, trade and compliance, warehouse, procurement and inbound logistics data, as well as strengthening connections across enterprise resource planning (ERP), transportation management system (TMS), warehouse management system (WMS) and order management systems, per the release. Antonio Gracias, founder, CEO and chief investment officer of Valor Equity Partners, which led the funding round, said in the release that Loop's AI systems create actionable intelligence out of data that had been fragmented and inaccessible. "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," Gracias said. Loop was founded in 2021 by former Uber and Flexport engineers and secured $35 million in a Series B funding round in October 2023. During an October 2023 interview with PYMNTS CEO Karen Webster, McKinney said it was taking 50 days on average in the logistics industry to clear a transaction because data was siloed on both sides, the sales order and the purchase order. "The whole [logistics] industry is focused on the wrong problem," McKinney said. "They're trying to grow revenue and book business, but the back of the house is where all the opportunity lies ... there is a real opportunity here to unlock liquidity by unifying the data together."