AgNext develops AI-enabled quality assessment technologies that integrate hardware and software to provide rapid, on-the-spot food quality analysis within 30 seconds. This technology addresses the need for accurate quality estimation in the agriculture and food supply chains, enhancing trust and transparency for businesses involved in procurement and trade.
Funding
$14.8M 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.
Founders
Product
Problem
Current methods for assessing food quality often involve manual processes and laboratory testing, which can be time-consuming and costly. This can lead to delays in the supply chain and hinder real-time decision-making for businesses involved in agriculture and food processing.
Solution
AgNext has developed an AI-powered platform that integrates hardware and software to provide rapid food quality analysis at the point of procurement or trade. The system uses spectral analysis and machine learning algorithms to assess various quality parameters in approximately 30 seconds. This enables agribusinesses, processors, warehouses, and traders to make informed decisions based on objective quality data, improving efficiency and reducing the risk of disputes.
Target Audience
The primary target audience includes agribusinesses, food processors, warehouse operators, commodity traders, and procurement centers involved in the agriculture and food supply chain.
Features
- AI-enabled quality assessment using spectral analysis
- Rapid on-the-spot analysis with results in 30 seconds
- Integrated hardware and software platform
- Cloud-based data analytics and reporting
- Non-destructive testing methods
- Customizable quality parameters based on commodity