Axom utilizes AI-driven image analysis to automate visual inspection and counting of injectables in the healthcare sector, achieving a false reject rate of less than 1%. This technology enhances inspection accuracy and efficiency while ensuring compliance with FDA and Eudralex standards, ultimately improving product quality and sustainability.
Funding
$890K 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.
SPFounders
Product
Problem
The pharmaceutical industry faces challenges in ensuring the quality of injectable medications due to the limitations of manual visual inspection, which is prone to human error and can lead to inconsistent results. Traditional methods struggle to maintain high levels of accuracy and efficiency while adhering to stringent regulatory standards such as those set by the FDA and Eudralex.
Solution
Axom provides AI-powered visual inspection systems for pharmaceutical injectables, automating the detection of defects and accurate counting of units. Their technology leverages advanced machine learning algorithms to identify particles, scratches, and other anomalies with high precision, achieving a false reject rate of less than 1%. The systems are designed for seamless integration into existing manufacturing lines, streamlining the inspection process and reducing the risk of human error. By adhering to strict FDA and Eudralex standards, Axom ensures product quality and patient safety while improving overall operational efficiency and sustainability. The company offers solutions for automated visual inspection, robotic visual inspection, and counting, catering to diverse production needs.
Target Audience
Axom's primary customers are pharmaceutical manufacturers producing injectable medications, particularly those focused on maintaining high quality standards and regulatory compliance in their visual inspection processes.
Features
- AI-driven image analysis for precise defect detection and accurate counting
- False reject rate of less than 1%, minimizing unnecessary waste
- Format-part-free design for streamlined hardware and easy integration
- Compliance with FDA and Eudralex standards for quality assurance
- Automated Visual Inspection machine occupying only 0.6 square meters
- Robotic Visual Inspection machine equipped with a robotic arm for small batches and intricate products
- Counting station adaptable in various configurations for accurate reconciliation and mix-up detection
- Open-source philosophy, leveraging advancements from research centers and AI experts