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tsenso

tsenso provides automation solutions for fresh food quality inspection, combining portable NIR scanners with data analytics to deliver quantitative quality metrics across the supply chain. Its newQC system non-destructively measures up to six parameters per fruit, reducing destructive testing by up to 90% while enabling trend detection across deliveries and seasons. The company also offers dynamic shelf-life monitoring for meat that integrates batch data, cold-chain information, and model-based assessment.

Traction 6/10
Stuttgart, Germany · HQ
Founded 20163500+ followers
  • Food Technology
  • Data & Analytics
  • Logistics & Supply Chain
  • Artificial Intelligence
  • Hardware
  • Internet of Things
Updated 7 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional fresh food quality inspection relies on destructive, single-parameter spot-checks that sample only a few fruits or items per delivery, providing a limited snapshot that fails to detect gradual quality shifts across sourcing seasons or supplier changes. Labor costs are high, trained personnel are scarce, and output quality varies significantly despite training efforts.

Solution

tsenso provides automation solutions for supply chain transparency, warehousing efficiency, and quality inspection, delivering quantitative quality metrics for traded cargo. Its newQC system uses portable NIR scanners to non-destructively measure multiple quality parameters per item, creating a digital quality data trail linked to shipment records. The company also offers dynamic shelf-life monitoring for meat that combines batch data, cold-chain information, and model-based assessment to support documented quality decisions. These solutions adapt to specific use cases with short deployment times and can be operated by remote or trained workers, enabling reliable, consistent assessments from origin to retail shelf.

Target Audience

Primary customers are food retailers, distribution centers, and quality management teams in the fresh produce and meat supply chain who need objective, data-driven quality assessment and shelf-life monitoring.

Features

  • Portable NIR scanner measuring up to 6 parameters per fruit including sweetness (Brix), acidity, juice content, firmness, ripeness index, and remaining shelf-life
  • Non-destructive scanning that reduces destructive testing by up to 90% while increasing measurements per inspection 5×
  • Trend detection across deliveries and seasons enables early identification of underperforming lots before they enter the supply chain
  • Dynamic shelf-life monitoring combining production batch data, cold-chain temperature history, and rapid field measurements into a traceable assessment basis
  • freshIndex mobile app guides employees through daily goods-receiving inspections with roughly one minute of additional effort per batch or pallet
  • Two-week feasibility demo on one product category can test the system without initial customer-side infrastructure costs
This profile is AI-generated and may contain inaccuracies.