Polysense
Category: Computer Vision
AI-powered quality control and process optimization platform for food manufacturing, using computer vision and automated process control to reduce waste and improve yield. Polysense was founded in 2022. The company is led by Yarne De Munck. Based in Ghent, Belgium. Team size: 11-50. Total funding raised: $12.9M. Latest round: Seed. Key investors include Felix Capital, Fortino Ventures, Syndicate One, 100IN, Peter Hinssen, Wim Vernaeve, Jeroen De Wit, Matthias Geeroms, Coformaco.
- Founded
- 2022
- Headquarters
- Ghent, Belgium
- Team size
- 11-50
- Total funding
- $12.9M
Value proposition
AI-native platform that inspects every product on the production line in real time and automatically adjusts machine parameters to prevent waste before it happens, reducing waste by up to 40% and improving yield consistency.
Products and solutions
Polysense Intelligence Platform (AI-native quality control & process optimization), Polysense Qualify (real-time inline inspection using computer vision), Polysense AutoControl (automated process parameter adjustment), Polysense Platform (line-wide data aggregation & optimization)
Unique value
Closed-loop AI quality control that doesn't just detect defects but automatically corrects the production process in real time — turning operator-dependent quality into a repeatable, data-driven system.
Target customer
Large-scale food manufacturers in potato processing, fruits & vegetables, bakery, and confectionery sectors
Industries served
Food Manufacturing, Potato Processing, Fruits & Vegetables Processing, Bakery, Confectionery, Packaging
Technology advantage
Real-time computer vision with synthetic data models for rapid training; closed-loop process control (detect → adjust → prevent); modular platform (Qualify + AutoControl + Platform); IT/OT integration with existing PLCs, SCADA, and MES systems; data-efficient algorithms requiring less training data than traditional approaches.
How they differentiate
Unlike competitors (TOMRA, Bühler, Cognex) that focus on defect detection and sorting, Polysense closes the loop by automatically adjusting machine parameters (peeling, cutting, oven temperature) in real time based on inline inspection data. Uses synthetic data models for rapid deployment and works with existing production line equipment.
Main competitors
TOMRA Food (machine learning sorting & grading), Bühler Group (AI-powered optical sorting integrated into processing lines), Cognex (machine vision for food & beverage inspection)
Key partnerships
JADCO (Al Jouf Agricultural Development Company) — strategic partnership for AI quality control in French fry production in Saudi Arabia
Notable customers
Agristo (Belgian French fry producer), Roger & Roger (Croky crisps manufacturer), Coroos (Dutch vegetable processor), Poppies Bakeries, Darta, Fourneo Flatbreads, ChocDecor
Major milestones
Founded 2022 by Ghent University engineering alumni, €2M seed round (June 2025), $10.7M oversubscribed seed round led by Felix Capital (July 2026), Expanded from Europe to US and Middle East, 45% faster potato-peeling process achieved for a major European processor, Strategic partnership with JADCO in Saudi Arabia
Growth metrics
Grew from 3 founders (2022) to ~20 employees (mid-2025) to ~30 employees (mid-2026); expanded from pilots to commercial deployments across Europe, US, and Middle East
Market positioning
Emerging leader in AI-native closed-loop quality control for food manufacturing, differentiated from legacy machine vision companies by automated process correction rather than just defect detection.
Geographic focus
Europe (headquarters in Belgium), expanding into United States and Middle East (Saudi Arabia via JADCO partnership)
About Yarne De Munck
Ex-Team Captain of UGent Racing (autonomous race car team); Chairman of CenEka vzw (engineering student organization); Computer Science & Electrical Engineering graduate from Ghent University; Vlerick Business School
Official website: https://www.polysense.ai