Belgium’s Polysense Secures $10.7 Million Seed Round to Optimize Food Manufacturing with AI
Belgian startup Polysense, a specialist in AI-driven quality control and operational process optimization for the food manufacturing sector, has announced the raising of $10.7 million in a Seed funding round. The investment is earmarked to scale its technological platform and accelerate the deployment of its solutions inside food processing factories.
The funding round was led by Felix Capital, with participation from Fortino Ventures, alongside a group of angel investors including Syndicate One and 100IN. This capital injection underscores growing investor appetite for enterprises leveraging artificial intelligence to elevate operational efficiency and eliminate waste within the food industry.
The company plans to utilize the fresh capital to broaden its platform’s capabilities to cover additional stages of the production line. Furthermore, Polysense aims to expand its engineering, sales, and customer success teams while simultaneously expediting the deployment of its solutions at manufacturing sites to shorten onboarding times.
Real-Time Computer Vision and Automation
Founded in 2022 in Ghent, Belgium, Polysense is led by CEO Jarni De Munk, CTO Lucas Van Dijk, and COO Jarni Bogaert. The company develops advanced technologies rooted in computer vision and machine learning algorithms to monitor food production lines in real time. This automated analysis assists factories in significantly curbing raw material waste, lowering operating costs, improving final product quality, and boosting overall yields.
The startup’s integrated technological ecosystem relies on two core modules:
Synthetic Data Technology: This module generates tailored digital replicas simulating the specific food products of each factory. Consequently, it allows AI models to be trained rapidly without requiring months of manual data collection, heavily reducing client onboarding times and speeding up system implementation.
Quality Control & Automated Process Regulation: Utilizing specialized cameras mounted directly above conveyor belts, the platform inspects food products—such as potatoes, flatbreads, and vegetables—as they move through the line. It seamlessly converts visual variances in shape, color, or size into objective, actionable real-time quality data.
Capitalizing on this stream of real-time data, the intelligent control system automatically fine-tunes the configurations of active processing machinery, including peeling, cutting, or sorting equipment. This ensures consistent product quality and curtails waste without needing constant human intervention.