Overview
Artificial Intelligence for Near Infrared Spectroscopy (AINS) platform is a cutting-edge technology for
non-visible light. It utilises AI algorithms to analyse and interpret near infrared (NIR) spectroscopy data
for fast model generation for materials and products in a variety of industries.
AINS utilises AI algorithms for NIR analysis to enable a fast model generation process. This allows for quick implementation and analysis of data from materials and products in a variety of industries such as biomedical, agriculture, food and beverage (F&B), manufacturing, pharmaceutical, cosmetics and environment. The platform also offers a low-cost pay-per-use model, making it accessible for users and extensive in applications.
Applications
Near Infrared (NIR) Analysis for Various Industries: Biomedical, Agriculture, F&B, Manufacturing, Wellness, Pharmaceutical, Cosmetics, Environment
Features
Mi-GraphASC comprises the following features
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NIR Data Analysis
AINS utilises advanced AI techniques such as neural networks and multivariate analysis to accurately analyse NIR data. -
Intuitive User Interface
An intuitive user interface enables ease of use for users of all skill levels. -
Fast AI Model Generation
AINS offers fast AI model generation thus reducing time and cost associated with traditional NIR analysis methods. -
Adaptation for New Data
The platform allows for easy updating and improvement of AI models as new data is collected
Artificial Intelligence for Near Infrared Spectroscopy
Technology Benefits
Mi-GraphASC comprises the following features:
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Accessible SaaS Platform
The platform offers a low-cost pay-per-use model, making it accessible for users and extensive in applications. -
Highly Scalable Design
AINS is designed to be highly scalable, making it suitable for a wide range of applications and industries. -
Productivity Enhancement for NIR Analysis
AINS has been reported to increase productivity by 100* times, making it an efficient and cost-effective solution for NIR analysis.
