AI agents for back-office automation in manufacturing, logistics, and commerce
Lleverage builds AI agents and workflow automation for companies managing physical supply chains and operations. The stack—Claude, RAG, Next.js, TypeScript—reflects a lean AI-native engineering approach, while active projects span agent development, production monitoring, and marketing-task automation. The founding team is balanced across engineering, marketing, and sales, suggesting early product-market fit validation in parallel with go-to-market execution.
Lleverage automates back-office workflows for manufacturers, logistics providers, and e-commerce operators. The product uses Claude-powered AI agents and retrieval-augmented generation (RAG) to handle operational tasks that are otherwise manual and fragmented across ERP systems like SAP and Business Central. Early project focus spans agent reliability (production monitoring), workflow breadth (marketing task automation, content repurposing), and vertical expansion (new industry mapping). The company is actively hiring across engineering, marketing, and sales in the Netherlands.
Lleverage uses Claude as its primary AI model, combined with retrieval-augmented generation (RAG) for knowledge retrieval and workflow execution across back-office operations.
Front-end: Next.js and TypeScript. AI/LLM: Claude and RAG. Integration: SAP and Business Central (ERP). Design and prototyping: Figma, Framer. AI tools: Cursor, Midjourney, DALL-E.
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