RedCloud Activates Agentic AI Layer
Global trade tech company RedCloud announced it has surpassed 100,000 customers and is now deploying its agentic AI infrastructure across its network. The milestone highlights how agentic AI is being integrated into the core of complex B2B operations like supply chain and trade finance.
RedCloud is embedding its AI directly into the transaction layer of trade, rather than applying it as an analytical overlay. This "agentic" layer is designed to autonomously optimize inventory, allocate working capital, and forecast demand across its network. The goal is to shift the trade process from reactive to autonomous. Founded in London in 2014 by Justin Floyd and Soumaya Hamzaoui, RedCloud operates an online marketplace for supply chain financing. The company's platform is designed for the fast-moving consumer goods (FMCG) industry, with a significant portion of its revenue generated from Nigeria. RedCloud went public on the Nasdaq (ticker: RCT) in March 2025. The company's platform has facilitated over $6.91 billion in FMCG trade value and supports more than 6,700 brands. Prior to the AI announcement, RedCloud had already registered over 500 distributors and 25,000 retailers on its platform as of late 2024. The company operates in markets including Argentina, Brazil, Nigeria, and South Africa. CEO Justin Floyd is a serial entrepreneur with a 25-year history of founding and investing in tech companies, including the cloud intelligence firm Vecta and the fintech company CC. He has a stated focus on solving economic and social challenges, particularly in fast-growing economies. While the company is marking significant customer growth and technological advancements, its financial filings have shown challenges. Reports from late 2024 and early 2026 indicated rapid revenue growth accompanied by high operating losses and cash burn. The company's operating margin was reported at -103.06% and its net margin at -110.28%. Agentic AI systems differ from traditional AI by operating independently to make decisions and execute tasks without constant human oversight. In supply chains, this can mean moving beyond just predicting disruptions to proactively finding and executing solutions, like dynamically managing inventory levels or rerouting shipments in real-time. These systems are designed to perceive their environment, reason about goals, and act on them by integrating with various enterprise systems via APIs.
