Announcing our $95M Series C to build the data and AI foundation every physical economy company needs.
Today we're announcing that Loop has raised $95 million in Series C funding, led by Valor Equity Partners and the Valor Atreides AI Fund, with participation from 8VC, Founders Fund, Index Ventures, J.P. Morgan Growth Equity Partners, and Tao Capital Partners.
The people running the world's most important physical economy companies—the manufacturers, retailers, and distributors that move real goods to real people—are carrying more concern than they should have to. Customer expectations at an all-time high. Input costs at an all-time high. Amid those challenges, one goal hasn't changed: growth and margin expansion. They know AI is the answer. They haven't found a partner who can make it real across the complexity of their operations.
We’re aware of those pressures because we started Loop in 2021, in the middle of the worst supply chain crisis in modern history. Ports backed up, freight rates through the roof, every company in the world suddenly paying attention to logistics. What we kept seeing was that the systems running the financial backbone of the supply chain were broken: paper documents, manual data entry, 20% of freight invoices with rate errors, trillions of dollars flowing through infrastructure that couldn't tell you what you were spending or why.
That crisis was a preview of what we’re facing now. The geopolitical order that held for decades is fracturing, trade alliances are shifting, and value chains built around a single source of cheap manufacturing are being redrawn across continents. The leaders of the world's most important physical economy companies will face decisions over the next ten years as consequential as anything they faced during COVID. The difference is whether they make those decisions on fragmented, stale data or on a foundation they can trust.
We saw a massive structural problem and believed we could build something fundamentally better. Freight audit and payment was our entry point because the pain was immediate, the ROI was fast, and it forced us to solve the hardest part of the data problem first: messy, unstructured, high-stakes financial data moving between thousands of vendors and enterprises that all speak slightly different languages. That decision shaped everything we've built since.
Loop was founded by data scientists and data engineers with a deep obsession with clean, actionable data. That DNA runs through everything we build. DUX, our domain-focused foundation model, came out of necessity because the data was too messy, too varied, and too high-volume for anything off the shelf. And because we obsessed over data quality from day one - we built the feedback loop for continuous validation, contextual memory, and a shared domain model that gets smarter with every vendor and every customer. The system compounds in a way that delivers more value for customers.
Over the past year alone, we've grown revenue by 10x, improved productivity by over 1300% , increased task automation from 50% to 99%+, and automated complex vendor integrations. .
We serve 300+ enterprises including 20 Fortune 100 companies.With our automation running on top of trusted data, the outcomes are transformational for our customers.
The time these teams get back goes straight into vendor strategy, network decisions, and the financial analysis that actually moves the business.
This raise is fuel for what we're building next. We're expanding the aperture into new data sources and types including supplier, trade and compliance, warehouse, procurement, and inbound logistics, while deepening integrations across ERP, TMS, WMS, and order management systems. Each new data type strengthens the shared domain model at the core of Loop, where knowledge about how a vendor behaves for one customer compounds across the entire network.
We're growing the team aggressively. The problems we're solving require a combination of AI depth, enterprise engineering, and an obsession with solving complex problems that have real effects on the world around us. And how work gets done is fundamentally shifting: from humans doing the work, to humans cooperating with AI, as well as building and operating agentic harnesses that deliver outcomes autonomously.
Antonio Gracias at Valor said it well: "Loop went deep into one of the hardest parts of the supply chain and turned it into an advantage for their customers. 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."
Loop is an asymmetric bet on AI. We benefit from every frontier model improvement and every drop in inference cost, but we also have our own foundational models, our own agentic harnesses, and a proprietary dataset built on years of obsessive data quality work. If the AI cycle corrects, Loop is still a strong business delivering a known and needed outcome at a fundamentally different cost structure.
The past year proved what this team and our customers can build together when the data foundation is right. Supply chain complexity will only continue to increase. Tariff volatility is accelerating, vendor networks are fragmenting, and the cost of operating on bad data compounds by the day. Every enterprise with a supply chain is going to need what we're building, and this round gives us the resources to move at the speed the market demands.
Want to build with us?
Matt and Shu
