About
QualySense is a Swiss agri-tech company that produces the QSorter® line of AI-powered inspection and sorting robots designed for the fine analysis of grains, seeds, and beans. Their flagship products — the QSorter® Explorer and QSorter® Horizon — deliver bean-by-bean measurement of both physical and biochemical properties at unprecedented speed and accuracy, processing 100 grams in under 3 minutes per sample. The system detects up to 27 defect types and 15 screen sizes while simultaneously measuring moisture content, color, protein, sucrose, and lipid levels. Using machine-learning algorithms, QualySense provides reliable, objective inspection results that are highly repeatable across devices and locations — enabling consistent quality management at scale. Results are instantly shareable through the SQI2 Google Cloud platform or via a seamless API integration, with reporting support for international standards including SCA, COB, GCA, and NY formats. The platform supports a wide range of crops: coffee, peanuts, soybeans, corn, barley, oats, rice, sweet corn, and hemp. Beyond quality control, QualySense enables advanced plant breeding by screening seeds based on biochemical markers such as oleic acid, oil content, and hilum color — making it a powerful tool for agronomists and seed breeders. The system also supports haploid corn seed selection, boosting breeding speed and accuracy. With 24/7 remote technical support and a dedicated customer portal, QualySense is built for enterprise agricultural operations worldwide.
Key Features
- Bean-by-Bean Inspection: Analyzes each individual grain or seed for physical and biochemical properties, processing 100 grams in under 3 minutes with high accuracy.
- Multi-Parameter Defect Detection: Detects up to 27 defect types and 15 screen sizes while simultaneously measuring moisture, color, protein, sucrose, and lipid content.
- SQI2 Cloud Platform & API: Shares summary or detailed results instantly via the SQI2 Google Cloud platform or through seamless API integration, supporting SCA, COB, GCA, NY, and custom reporting standards.
- Machine Learning Quality Algorithms: ML-driven inspection ensures reliable, objective, and repeatable results across multiple devices and geographic locations for consistent quality management.
- Multi-Crop & Breeding Support: Compatible with coffee, peanuts, soybeans, corn, barley, oats, rice, sweet corn, and hemp, with advanced support for seed breeding and haploid selection programs.
Use Cases
- Quality inspection of green coffee beans to detect defects, measure biochemical properties, and generate SCA- or GCA-standard reports for buyers and exporters.
- Peanut processing facilities inspecting each kernel for oleic content, protein, moisture, size, and damage to ensure product consistency and compliance.
- Agricultural seed breeders screening soybeans or other crops by protein, oil, and physical purity to accelerate genetic selection programs.
- Corn breeders automating haploid kernel selection using oil and color markers to boost speed and accuracy of doubled-haploid breeding pipelines.
- Grain trading companies sharing real-time quality data with supply chain partners via the SQI2 cloud to support faster purchasing and logistics decisions.
Pros
- Exceptional Inspection Granularity: Bean-by-bean analysis provides highly detailed quality distributions, enabling immediate detection of large deviations and actionable insights at the kernel level.
- Broad Crop Compatibility: Supports a wide range of agricultural commodities from coffee to hemp, making it a versatile platform for diverse agri-food operations.
- Cloud-Connected with Industry Standards: SQI2 cloud integration and support for multiple international reporting formats streamline collaboration with trading partners and compliance reporting.
- 24/7 Remote Technical Support: Continuous remote assistance and a dedicated customer portal ensure uptime and operational confidence for enterprise deployments.
Cons
- Physical Hardware Requirement: The QSorter® is a physical robotic device requiring on-site installation, which involves capital investment and logistical setup compared to software-only solutions.
- Enterprise-Focused Pricing: No self-service pricing or free trial is available; customers must request a demo, indicating the solution is tailored to larger agricultural businesses.
- Niche Agricultural Application: The platform is purpose-built for grain, seed, and bean inspection, making it unsuitable for use cases outside the agri-food or plant breeding industries.
Frequently Asked Questions
What crops does the QSorter® support?
The QSorter® supports a wide range of agricultural commodities including coffee, peanuts, soybeans, corn, barley, oats, rice, sweet corn, and hemp, with crop-specific inspection algorithms for each.
How fast can the QSorter® inspect samples?
The QSorter® Explorer can process 100 grams of green coffee bean-by-bean in under 3 minutes, enabling rapid throughput even during seasonal peak inspection periods.
What parameters does QualySense measure?
The system measures a comprehensive set of physical properties (size, geometry, color, length, width, thickness, roundness) and biochemical properties (moisture, protein, oil, sucrose, oleic acid, and lipids) depending on the crop module.
Does QualySense integrate with existing systems?
Yes. Results can be accessed via the SQI2 Google Cloud platform or through a seamless API integration, allowing connection to existing laboratory, ERP, or quality management workflows.
Can QualySense be used for plant breeding programs?
Absolutely. The QSorter® is specifically designed to support breeding applications, enabling selection based on biochemical and physical markers such as protein content, oil content, hilum color, and even haploid corn kernel identification.
