Loop, a supply chain technology company, has raised $95 million in a Series C funding round led by Valor Equity Partners and the Valor Atreides AI Fund, with participation from 8VC, Founders Fund, Index Ventures, and J.P. Morgan Growth Equity Partners.
The company develops artificial intelligence systems designed not only to organize supply chain data but to anticipate disruptions and recommend actions, positioning itself within a growing segment of predictive logistics technology.
What The Company Does
Loop focuses on transforming fragmented and unstructured supply chain data into usable, structured information. This includes processing inputs such as PDFs without optical character recognition, paper-based documents, and digital communications. By structuring this data, the platform enables automation across operational workflows.
The company’s system relies on a coordinated architecture that integrates multiple AI models. Some of these models are developed internally, while others leverage external frontier technologies. This approach allows Loop to automate routine processes while also identifying inefficiencies, such as cost leakages or timing delays across supply chain operations.
Beyond automation, the platform provides insights into inventory risks, including overstocking or understocking scenarios. According to the company, customers can realize immediate operational savings, with early deployments already demonstrating measurable cost reductions.
Loop’s broader objective, however, extends beyond diagnostics. The company is developing capabilities that move toward predictive and prescriptive decision-making, enabling businesses to anticipate disruptions and act before issues materialize.
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Market Context / Industry Background
The funding comes amid increased volatility in global supply chains, driven by geopolitical tensions, shifting trade dynamics, and ongoing operational disruptions. This environment has accelerated demand for technologies that improve visibility and resilience.
Artificial intelligence has become a central focus within this space. Startups and established logistics players alike are investing in automation and predictive analytics to manage complexity. Companies such as Uber Freight and Flexport have expanded their AI capabilities, while newer entrants are targeting specific inefficiencies across freight, customs, and logistics coordination.
At the same time, access to engineering talent remains highly competitive, reflecting the broader demand for AI expertise across industries. This has influenced how companies like Loop allocate capital, particularly in scaling technical teams to support product development.
Loop’s positioning reflects a shift from reactive supply chain management toward systems that can continuously analyze and optimize operations. By integrating data across enterprise resource planning systems, transportation management tools, suppliers, and warehouses, the company is working toward a more comprehensive intelligence layer.
Founder / Investor Commentary
Loop co-founder and CTO Shaosu Liu described the company’s approach as moving beyond surface-level optimization toward long-term operational improvement. He compared it to healthcare, noting that while basic diagnostics are useful, the ultimate goal is continuous guidance and improvement over time.
Antonio Gracias, founder and CEO of Valor Equity Partners, emphasized the strategic value of Loop’s technology, stating that the company has addressed one of the more complex areas of supply chain management by turning fragmented data into actionable intelligence. He noted that this capability can improve cost efficiency, operational processes, and working capital, while also extending into broader financial and operational functions.
Liu also highlighted the significance of backing from investors with deep expertise in artificial intelligence, suggesting that the due diligence process focused heavily on the defensibility of Loop’s technology and long-term positioning within the market.
CEO Matt McKinney added that the company was initially built on the assumption that AI capabilities would mature gradually over time. However, faster-than-expected advancements in the field have allowed Loop to accelerate its roadmap and expand the scope of its platform.
Growth Plans / Use Of Funds
Loop plans to use the newly raised capital primarily to expand its engineering and technical teams. Talent acquisition is a key priority as the company continues to develop its AI infrastructure and scale its platform capabilities.
In parallel, the company is deepening integrations with enterprise systems, including ERP and transportation management platforms, while increasing data ingestion from across the supply chain ecosystem. This includes suppliers, warehouses, and other operational nodes, enabling more comprehensive data coverage.
The funding will also support continued development of predictive and prescriptive features, with the aim of improving cost efficiency, reducing risk, and strengthening operational resilience for customers operating in uncertain environments.
About Loop
Loop is a supply chain technology company focused on applying artificial intelligence to logistics and operations. Founded by Shaosu Liu and Matt McKinney, the company is headquartered in San Francisco. Its platform transforms unstructured data into actionable insights, enabling automation, optimization, and predictive decision-making across supply chain systems.
