
Backbone is an AI-powered quality management platform for food and feed companies that connects quality data across existing systems like ERP, QMS, and document storage. The platform uses AI agents to automate workflows, map documents to standards like BRCGS and IFS, and surface compliance signals in real time. It enables quality teams to centralize operations and make faster decisions without replacing their current tools.
Funding
€4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Food and feed quality teams manage hundreds of daily data points across documents, complaints, supplier information, and compliance standards, but much of this information is scattered or missed. This fragmentation forces teams to spend excessive time searching, checking, and revalidating data instead of focusing on process improvement and food safety culture. Delayed or missed signals can escalate into expensive quality problems and compliance failures.
Solution
Backbone provides a centralized AI platform that connects quality data from existing systems—ERP, QMS, email, document storage—and automatically structures and contextualizes it. The platform reads documents and maps them to BRCGS, IFS, FSSC 22000, and internal standards, keeping mappings current as requirements change. AI agents handle recurring tasks like incident tracking, supplier monitoring, and customer requests, with humans kept in the loop for critical decisions. Teams can ask questions of their quality data and receive answers linked to verified sources, enabling faster, evidence-based decisions without switching between systems.
Target Audience
Primary customers are food and feed companies ranging from single-site manufacturers to global operations, including quality managers, operations managers, and product developers who need to centralize quality operations and scale efficiently.
Features
- AI agents that automate recurring quality workflows including incidents, incoming documents, customer requests, compliance, supplier monitoring, and NPD, with human-in-the-loop oversight
- Real-time document scanning that maps content to BRCGS, IFS, FSSC 22000, and internal standards, with continuous updates as standards change
- Integration with existing tools including ERP, QMS, lab systems, and document management platforms—no migration or rip-and-replace required
- Source-linked answers to quality questions, with uncertainty flags instead of guesses to ensure reliability
- CAPA and root cause history linked to complaints and non-conformities, preventing recurring issues from reopening files
- Standard-agnostic compliance management across multiple frameworks and client-specific requirements