Loop, a vertical AI platform for logistics and supply chains, raised $95 million in Series C funding led by Valor Equity Partners and Valor Atreides AI Fund, with backing from 8VC, Founders Fund, Index Ventures, J.P. Morgan Growth Equity Partners, and Tao Capital Partners. The capital will expand Loop’s DUX AI models—designed to unify fragmented logistics data—and deepen integrations with ERP, TMS, and WMS systems. Clients include Outset Medical, Clemens Food Group, Olipop, Kendra Scott, and Dot Foods. Executives cite mounting supply chain pressures—including tariffs, supplier diversification needs, and legacy system limitations—as drivers for adopting AI-powered visibility and decision support.
According to fintech.global, Loop — a full-stack verticalized AI platform for logistics and supply chains — has raised $95 million in a Series C funding round to expand its platform across broader enterprise use cases and deepen engineering capabilities.
Funding and Investor Backing
The round was 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. Proceeds will support talent acquisition in AI and accelerate product development, particularly around data integration and automation.
Context: Pressures on Global Supply Chains
The investment arrives amid intensifying global supply chain pressures. As noted in the source, rising tariffs, supplier network diversification imperatives, and elevated energy costs compound pre-existing challenges — including legacy systems, siloed data, and insufficient operational and financial visibility. These constraints hinder enterprises’ ability to sustain performance, optimize working capital, and make confident strategic decisions.
DUX: Purpose-Built AI for Logistics Data
At the core of Loop’s offering is DUX, a family of models and agents engineered specifically for logistics and supply chain demands. DUX ingests, standardizes, contextualizes, and acts on heterogeneous logistics data — spanning documents, ERP outputs, TMS logs, WMS records, and more — transforming fragmented inputs into unified, actionable intelligence.
Client Base and Platform Expansion
Loop’s current customers include Outset Medical, Clemens Food Group, Olipop, Kendra Scott, and Dot Foods. The platform is broadening its scope across new data domains and workflows, including supplier, trade and compliance, warehouse, procurement, and inbound logistics data. It also plans deeper integrations with ERP, TMS, WMS, and order-management systems.
Executive Perspectives
“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. This investment lets us expand our platform and connect the financial and operational data that our customers need to make better decisions, faster.” — Matt McKinney, CEO and co-founder of Loop
“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.” — Antonio Gracias, founder, CEO, and chief investment officer of Valor Equity Partners
For supply chain professionals, Loop’s evolution signals a growing industry shift toward vertically integrated AI solutions that unify operational and financial data streams — addressing long-standing interoperability gaps without requiring wholesale system replacement. As firms grapple with tariff volatility and nearshoring initiatives, platforms like Loop offer scalable paths to real-time visibility, tighter cost control, and evidence-based decision-making across procurement, logistics, and finance workflows.
Source: fintech.global
Compiled from international media by the SCI.AI editorial team.
