A deviation gets flagged on the line. Someone adjusts the machine. And then the information quietly disappears into a dashboard, a spreadsheet or an inbox.
That's where quality data stops for most food manufacturers today. We think it should go a lot further. So we're partnering with Backbone, a fellow Ghent-based AI company, to connect what we measure on the production line directly to the specifications, standards and customer requirements that decide what happens next.
Where quality data gets stuck
Polysense measures what happens on the line, using sensors, cameras and automated process control. Backbone takes that measurement and checks it against customer requirements, supplier data, standards such as IFS and BRCGS, and relevant historical data, then gets it to the right person.
Together, that creates a continuous quality loop: measure, understand, decide, improve and prove. Quality data stops being a record of what happened and becomes a tool to make production better every day.
What it means for food manufacturers
More capacity. We automate what happens on the line. Backbone's AI agents take over the manual work around it: tracking certificates, validating lab results and logging incidents. Teams get time back for structural quality improvement.
Less waste, higher yield. When deviations are spotted sooner and processes keep improving, more food that would have been lost gets saved. That means a more efficient factory and a more sustainable food chain.
Safer, more reliable food. A detection only matters once you know what it means. With every deviation checked against the relevant requirements, teams immediately see whether it's within tolerance, what risk it carries and what to do next.
Quality as a competitive edge. Faster spec approvals, quicker answers to customer questions, smoother supplier assessments and audits. Quality data becomes useful to R&D, procurement, operations and sales, and that speed can decide whether a contract is won or lost.
"The future of food quality doesn't lie in more checks, but in a quality chain where production data and data on quality, compliance and customers come together. Polysense and Backbone bring those worlds together. That way, food manufacturers can not only detect deviations faster, but also understand them better, decide faster and improve structurally. That's ultimately where we want to go: a safer, more efficient food industry with less waste."
Yarne De Munck, CEO and co-founder, Polysense
One quality chain
This is more than a technology integration. We share the same conviction as Backbone: the food industry only moves forward when quality stops being a set of separate checks and becomes one continuous, data-driven chain.
Polysense brings the reality of the production line into view. Backbone connects it to the rest of the organization. Together, we link quality control with quality assurance, and data with action.
"We believe quality is one of the biggest levers for moving the food industry forward. That starts with knowing what happens on the production line, but it doesn't stop there. By connecting Polysense's real-time insights with Backbone's broader quality and compliance context, we make it possible to act faster and to produce better, structurally. With one goal: safer food, less waste and stronger food manufacturers."
Louis Opsomer, CEO and co-founder, Backbone
About Backbone
Backbone is the operating system for quality and compliance in the food industry. Its platform brings all quality data together and automatically checks it against standards like IFS and BRCGS, customer requirements and regulations. Learn more at usebackbone.ai.
Want to see what this looks like on your line?
We work with food manufacturers in potato processing, bakery, fruit and vegetables and more. Get in touch to talk about how connected quality data could work for your production.
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