
In food manufacturing, quality losses at the production line are largely predictable. Each batch of raw materials has slightly different moisture levels, density and physical characteristics. If machine settings remain fixed while these characteristics change, defects will accumulate across large volumes of product before a periodic sample check detects the change. The inspection model used in most facilities - sampling a few units per shift, assessing them manually, and making corrections afterwards - creates a delay between the onset of a problem and the response of production.
Polysense, a Belgian startup co-founded by Yarne De Munck, Lucas Van Dijck, and Jarne Bogaert, built a platform that removes that lag. Three integrated products cover the detection and correction cycle. Polysense Qualify places cameras directly onto existing production equipment to carry out continuous inspection of every unit passing through the line. The Intelligence Platform brings together quality and process data from across the production environment, providing a single view that makes variability patterns visible as they emerge. Polysense AutoControl then acts on this data by modifying machine parameters in response to changing ingredient and production conditions without the need for an operator. The system is compatible with existing infrastructure and supplements real-world training data with synthetic data models.
Polysense recently closed an oversubscribed $10.7 million seed funding round, led by Felix Capital and with participation from Fortino Ventures, Syndicate One, 100IN and angel investors. This follows a $2.2 million investment in mid-2025, bringing the total funding to approximately $12.9 million. The capital will support the expansion of the platform across additional production stages, team growth, and faster international deployment.
Sources: Polysense | Crunchbase
Founders: Yarne De Munck, Lucas Van Dijck, Jarne Bogaert