Polysense
5 known investors
Polysense builds camera and vision-based hardware that inspects product quality inline on food production lines, detecting defects, measuring dimensions, monitoring colour and identifying foreign material at production speed. It targets food processors, with a stated focus on potato processing, and integrates with existing shop-floor systems such as SCADA, MES, PLC and ERP.
Also known as Polysense Intelligence
Founders & leadership



Investors Β· 5
Also in the syndicate Β· 3
Funding
SEC filings, press & company announcements$10.7M disclosed across 1 of 3 rounds Β· 2025β2026
- Undisclosed amountSeed FundingJul 2026Source β
- $10.7MSeedJul 2026 Β· 3 sources
Felix Capital (lead), 100IN, angel investors, Fortino Ventures, Syndicate One
Source β
Source: company announcements and press reports β follow each round's link for the claim.
Company profile
researched Aug 2026Polysense is a Belgian technology company that supplies AI-native machine vision and process control systems for food manufacturers. Its stated aim is to detect quality drift on production lines in real time and correct it before product is wasted, replacing periodic manual sampling with continuous inline measurement of characteristics such as shape, colour and dimensions across all output.
The offering is modular and consists of three products that can be used independently or together. Polysense Qualify uses inline cameras mounted on existing equipment to measure every product each second, flagging specification drift and foreign material as it occurs. The Polysense Platform (Polysense Intelligence) consolidates measurements from across a line into a single view for monitoring, variability analysis, optimisation and prediction of output quality and yield, and includes a conversational assistant for querying production data in natural language. Polysense AutoControl closes the loop by automatically adjusting machine parameters β for example peeling, cutting, sorting or oven temperature β to compensate for changing raw materials and operating conditions. The company describes its approach as combining real-time imaging data with synthetic data models.
Deployment follows an assessment of the customer's production flow and quality challenges, installation on existing lines with minimal hardware change, go-live of inline measurement, and optional extension into automated control. Systems are designed to integrate with existing IT and OT infrastructure including PLCs, SCADA, MES and ERP, with specification changes able to be picked up automatically from MES or ERP so that the correct inspection criteria are applied at product changeover.
Business model
Polysense sells vision hardware installed on customers' existing production lines together with a software platform and automated process control modules. Modules are sold independently and can be expanded over time, with customer engagements beginning with a free assessment of the production process; expansion has come from existing customers increasing the number of lines covered.
Traction
The company moved from early pilots to live deployments over the twelve months preceding July 2026, with customers including Agristo, Darta and Poppies Bakeries expanding their rollouts. Systems have been installed on vegetable, potato, bakery, confectionery and packaging lines. Reported outcomes include a 45% reduction in peeling time at a leading European potato processor through real-time peel-quality monitoring and automated adjustment, and higher yield at a bakery manufacturer via automatic oven temperature control.
Latest developments
On 8 July 2026 Polysense announced an oversubscribed $10.7 million seed round led by Felix Capital with participation from Fortino Ventures, Syndicate One, 100IN and angel investors. The capital is directed at extending the product across more stages of food production, growing engineering, sales and customer success teams, and accelerating deployments internationally. The round followed a $2.2 million raise roughly a year earlier, after which the company focused exclusively on food manufacturing.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
Positioned as an AI-native quality control and process optimisation provider for food manufacturing, competing in the broader industrial AI and automation market where established industrial automation vendors are also moving into AI-driven quality control. Investor commentary cites the company's food-manufacturing domain knowledge and early adoption by large manufacturers as differentiators.
Continuous inspection of every product rather than periodic sampling; a closed loop from measurement to automatic machine adjustment; operator-independent quality decisions; installation on existing lines with minimal hardware change; and integration with incumbent IT and OT systems.
Technology
Inline camera systems measure every product on a line in real time, generating imaging data that is combined with synthetic data models and AI to detect deviations, foreign material and process drift. The platform layer aggregates line-wide measurements for monitoring and analysis, applies models trained on customer production data to predict how input conditions affect output quality and yield, and offers a natural-language assistant over production data. AutoControl uses these signals to recalculate and adjust machine parameters at multiple points on the line without operator intervention. Integration is via existing IT/OT systems such as PLCs, SCADA, MES and ERP.
Go-to-market
Direct sales supported by a free production-process assessment (process intake, line analysis, and an impact and development outline), demo requests, downloadable guides such as one on quality control in potato processing, and presence at industry events. Proceeds of the 2026 seed round are earmarked partly for growing sales and customer success teams and shortening deployment times.
Food manufacturers and processors, with industry-specific offerings for potato processing, fruit and vegetables, and bakery, plus other food production lines. Named customers include Agristo, Darta, Poppies Bakeries and Fourneo Flatbreads.
Geography
Headquartered at Amelia Earhartlaan 2/0301, 9051 Ghent, Belgium (enterprise number BE0784.354.767). Initially deployed in Europe, with subsequent expansion into the United States and the Middle East.
History
The company raised a β¬2 million seed round to help food manufacturers cut waste and improve efficiency with AI, and about a year before July 2026 closed a $2.2 million round alongside a decision to focus exclusively on food manufacturing. It then progressed from pilots to commercial deployments with large food producers and expanded from Europe into the United States and the Middle East, closing a $10.7 million seed round announced on 8 July 2026.
Risks & controversies
Commentary accompanying the 2026 seed round notes that the industrial AI and automation market is competitive and that sustaining a lead will require continuous innovation and rapid global deployment against new entrants and established industrial automation firms extending into AI-driven quality control.
Compiled by commissioned research from 8 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 3
launches, deals, and filingsOversubscribed seed round led by Felix Capital with participation from Fortino Ventures, Syndicate One, 100IN and other angel investors, to be used for product expansion across more production stages, team growth in engineering, sales and customer success, and faster deployments.
$10.7M source β
Platform initially launched in Europe expanded into the United States and the Middle East, with deployments across vegetable, potato, bakery, confectionery and packaging production lines.
Round closed just over a year before the July 2026 seed announcement, after which the company doubled down exclusively on food manufacturing.
$2.2M source β
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
βΈResearch sources Β· 8
primary sources listed
- Polysensepolysense.ai Β· web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Polysense do?
- Belgian company providing AI-based inline machine vision and automated process control for food manufacturing lines.
- Who founded Polysense?
- Polysense was founded by Yarne De Munck, Lucas Van Dijck, Tim Van Hauwermeiren.
- Who are Polysense's investors?
- Polysense's investors include FELIX CAPITAL, Syndicate One.
- How much funding has Polysense raised?
- Polysense has disclosed $10.7M raised across 1 of its 3 known rounds.