Inarix employs artificial intelligence and image analysis technology to improve the precision of visual data interpretation across various industries. The startup targets inefficiencies in data processing and decision-making that arise from reliance on image-based information.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AFFNLINFounders
Product
Problem
Traditional grain quality assessment relies on manual inspection and lab equipment, which is time-consuming, costly, and can delay decision-making for agricultural actors. Inconsistent analysis methods and a lack of real-time data hinder efficient resource allocation and optimization of grain value from harvest to storage.
Solution
Inarix provides an AI-powered image analysis platform that enables instant crop quality assessments using a smartphone. The PocketLab mobile application analyzes images of grains to determine key quality metrics, replacing the need for multiple machines and lab tests. This allows for smarter decisions and accurate crop valuation directly in the field or storage facility. The Inarix Portal and API facilitate data integration and optimization of grain logistics, increasing transparency and traceability across the supply chain.
Target Audience
Inarix targets farmers, grain storage organizations, processors, and other agricultural actors who need rapid, accurate, and accessible grain quality assessments.
Features
- PocketLab: Mobile application for image-based grain analysis using AI
- Real-time assessment of wheat, barley, durum wheat, and corn
- Measures variety, protein rate, broken grains, and TKW (thousand-kernel weight)
- Cloud-based platform for data storage, analysis, and reporting
- API for integration with existing agricultural management systems
- Inarix Portal: Web interface for tracking and managing grain quality data
- Deep learning models trained on a large grain image database, continuously updated for accuracy