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BatchBridge AI is a unified food traceability and recall operations platform for manufacturers, suppliers, distributors and retailers in India and the United States. It brings incident investigation, batch genealogy and recall coordination into one workspace. When a potential food-safety issue is reported, teams can create an incident, attach supporting evidence, identify affected supplier and raw-material lots, and trace their relationships through production runs, finished-goods batches, warehouses and downstream shipments. The platform uses these recorded relationships to build an evidence-linked impact view rather than allowing an AI model to guess which products are affected. Its agent-assisted workflow helps organize investigations, assess potential impact, prepare containment tasks and draft partner communications. Authorized people remain in control of consequential actions such as initiating a recall, sending external notices or closing an incident. The platform also tracks partner acknowledgements, stock status, returns and outstanding actions, and includes a mock-recall simulator to help teams assess traceability readiness. BatchBridge AI supports separate, configurable India (FSSAI) and USA (FDA) regulatory profiles while keeping the underlying operational workflow unified. It is designed for deployment on Vultr, with server-side inference integration. The demonstration uses synthetic supply-chain data; regulatory profiles are operational guidance, not a guarantee of legal compliance.
8 Nov 2026