Problem

Burnt addresses the operational drag created by food distribution’s fragmented, legacy technology stack. Distributors depend on ERPs that are essential but slow and inflexible, while order information arrives through email, phone calls, voicemails, texts, WhatsApp, fax and spreadsheets. Manual order entry can consume the equivalent of 10–50 employees’ time, with a single order taking roughly 10 minutes; the result is high administrative cost, data-entry errors and sales and customer-service teams spending their time processing orders instead of serving and growing accounts. Replacing the ERP is economically unattractive because a rip-and-replace could take years and cost millions.

The clearest or “killer” use case is automating order management for food distributors serving restaurants and other professional buyers. Food orders often contain industry-specific shorthand, product substitutions, preparation instructions and customer-specific buying habits, making conventional RPA and generic automation unreliable. Burnt’s opportunity is to remove the repetitive work without forcing distributors or their customers to change how they order.

Product / Service

Burnt is building an agentic operating system, or AI “watchtower,” that sits on top of a distributor’s existing ERP rather than replacing it. Its flagship agent, Ozai, monitors incoming sales channels, determines whether a message is an order, interprets product and customer context, enters the result into the ERP and asks the customer for clarification when necessary. The system learns from each order and from the shorthand and purchasing patterns of individual customers. Burnt’s broader platform is designed to coordinate agents across sales and operations, procurement, credit control and custom workflows.

The delivery model is enterprise-oriented and highly hands-on: Burnt maps the customer’s workflows, integrates with existing ERPs, accounting systems and communication tools, and provides white-glove or forward-deployed implementation. The company says many customers can go live in one to two weeks, with more complex legacy environments taking longer. Its advertised benefits are 99.99% accuracy, 80% less administrative time and a 20% profit uplift, while its central value proposition is enabling distributors to scale without adding headcount and allowing sales teams to focus on customer relationships.

Market

Burnt competes in vertical AI, food-distribution software and supply-chain automation. Its target market ranges from small independent distributors with under $50 million in revenue to regional and multinational operators exceeding $500 million. The underlying food-distribution market is described by the company’s investors as a roughly $300 billion industry still running on systems installed decades ago. Burnt’s strategic ambition is to give independent distributors technology that helps them compete with large incumbents such as US Foods and Sysco.

The most directly comparable named competitor found is Choco’s OrderAgent, which likewise captures orders from channels such as email, PDFs, voicemails and handwritten notes and sends structured data into an ERP. Burnt also competes indirectly with manual order-entry teams, legacy ERP functionality, RPA tools and failed or limited e-commerce replacements. Burnt is not merely pre-product: it was active in Y Combinator’s Summer 2025 batch, raised a $3.8 million seed round led by Penny Jar Capital with participation from Scribble Ventures, Formation VC and angels, and reported processing more than $10 million of orders per month for initial customers including La Tua Pasta. Public materials do not disclose revenue or pricing, so the scale and economics of the business beyond those deployments remain unverified.