04. Nov 2024

How NIR Spectroscopy and Machine Learning are Transforming Material Analysis Across Industries 

Introduction In today’s fast-paced industrial landscape, the demand for efficient and accurate material analysis is greater than ever. Industries such as pharmaceuticals, agriculture, and public safety require reliable, real-time data to ensure quality, safety, and performance. Traditional lab testing is being replaced by Near-Infrared (NIR) Spectroscopy, a technology enhanced by
27. Jun 2024

Current Drug Situation in Europe 2024: An Insightful Analysis

The drug landscape in Europe is continually evolving, driven by the emergence of new substances, shifting usage patterns, and changing policies. The European Drug Report 20241 highlights these dynamics and underscores the need for a multifaceted response to drug-related challenges. This article offers a comprehensive analysis of the current drug
08. Mar 2024

Guilty until Proven Innocent: Rethinking Presumptive Drug Tests

Presumptive field drug tests in the American justice system spark concerns related to fairness, accuracy, and racial disparities. Annually, approximately 773,000 drug-related arrests hinge on these notoriously unreliable tests, pressing for urgent reform. A comprehensive study conducted by the University of Pennsylvania sheds light on the system’s alarming limitations. In
01. Mar 2024

Counterfeit Medicines: Unmasking the Role of NIR Spectroscopy

In the realm of pharmaceutical integrity and patient safety, the battle against counterfeit medicines presents a formidable challenge. Counterfeiters are becoming increasingly sophisticated, making the need for advanced detection techniques more critical than ever. One such technique, Near-Infrared (NIR) spectroscopy, emerges as a beacon of hope in this ongoing struggle.

NIRLAB mobile and handheld NIR Spectroscopy Solutions and Apps

NIRLAB detects and quantifies material and substance compositions non-destructively, instant and precise by using NIR spectroscopy and advanced machine learning algorithms.

The innovative digital ecosystem takes quality, transparency and security to a new level and generates real world data for automation and 3rd party AI applications.

NIRLAB AG
Somlaproz 23
1937 Orsières
Switzerland

Funded by

REACT EU Funded as part of the Union's response to the COVID-19 pandemic.

Project Digitalization in the field of corporate presentation, marketing and communication

Period 15.01.2022–31.12.2022

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