AI infrastructure for fragmented global supply chains and trade networks
RedCloud operates an AI-native platform designed to address structural inefficiencies in the $14T FMCG supply chain. The tech stack—anchored in Python, Snowflake, and cloud ML (SageMaker, Vertex AI, Azure OpenAI)—reflects heavy investment in data processing and LLM-driven features. Active projects span tier-one distributor onboarding, algorithmic trading platforms, and regional sales execution, while pain points center on inventory visibility and scaling the core technology platform itself, suggesting the company is transitioning from product-market fit toward operational scale.
RedCloud is a London-based public company founded in 2012 that builds intelligent infrastructure for global trade and supply chain networks. The platform targets fragmentation in fast-moving consumer goods distribution, addressing structural inventory gaps and coordination failures across tier-one distributors, bulk traders, and regional markets. The company operates across eight hiring geographies including Nigeria, South Africa, Turkey, Brazil, and the United Kingdom, reflecting its focus on emerging-market supply chains. Revenue scale and hiring velocity remain modest relative to company size, with sales roles representing the largest single function alongside a growing data and engineering footprint.
RedCloud runs Python, SQL, and cloud infrastructure (AWS, Azure, GCP) with Snowflake and BigQuery for analytics, plus machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and LLM tools (Langchain, Azure OpenAI, AWS Bedrock). Frontend uses React and Node.js; databases include PostgreSQL, MySQL, and NoSQL.
Key initiatives include tier-one distributor acquisition, the RedAI digital trading platform, algorithmic trading platform adoption, bulk and retail trading exchanges, regional sales plan rollouts, and ELT solutions. Projects also address platform adoption growth and data insights across wholesale and retail segments.
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