This company provides a no-code, data-agnostic platform for automated AI visual inspection and virtual metrology. Their software enables users across various verticals, including semiconductor and electronics, to train and deploy custom machine learning models for high-accuracy defect detection and classification. The solution integrates with existing inspection equipment to improve yield and quality control without requiring new hardware.
Funding
Funding not disclosed
Founders
Product
Problem
The semiconductor industry faces challenges in visual inspection due to the complexity of detecting microscopic defects, leading to potential yield loss and increased operational costs. Traditional manual inspection methods are time-consuming, prone to human error, and may not be scalable for advanced manufacturing processes.
Solution
Averroes provides an automated AI visual inspection platform designed to enhance defect detection and classification in semiconductor manufacturing. The platform utilizes advanced machine learning algorithms to analyze images and identify anomalies with high accuracy. By automating the inspection process, Averroes helps manufacturers improve yield, reduce labor costs, and increase overall productivity. The system is designed to integrate with existing visual inspection equipment, eliminating the need for additional hardware investments.
Target Audience
The primary target audience includes semiconductor manufacturers and OEMs seeking to improve quality assurance, increase yield, and reduce operational costs through automated visual inspection.
Features
- AI-powered defect classification with reported accuracy of over 99% from a single image
- Submicron defect detection capabilities
- Defect segmentation to precisely mask defect areas
- Rapid defect review based on human input
- Defect monitoring for categorizing and classifying defects based on inspection team input
- Flexible deployment options, including on-premise and cloud-based solutions
- Compatibility with existing visual inspection equipment such as KLA Tencor, AOI, and Onto tools