Smartex.ai utilizes automated inspection technology powered by AI and computer vision to detect defects in textiles during the production process. This system addresses the challenges of manual inspections, reducing waste and enhancing quality control in modern textile manufacturing.
Funding
$32.3M 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.
+1Founders
Product
Problem
Manual inspection of textiles during manufacturing is time-consuming, prone to human error, and can result in significant material waste due to defects going unnoticed. This leads to increased production costs and reduced overall efficiency in textile factories. Furthermore, a lack of real-time data visibility hinders process optimization and traceability.
Solution
Smartex.ai offers an automated quality control system for textile manufacturing that uses AI and computer vision to detect defects in real-time. The system integrates directly into circular knitting machines, providing 100% inspection of the fabric as it's produced. By identifying flaws immediately, the system enables manufacturers to minimize waste, improve product quality, and increase productivity. The platform also digitalizes factory operations, providing greater production visibility and traceability through data-driven insights.
Target Audience
The primary target audience includes textile manufacturers, particularly those using circular knitting machines, seeking to improve quality control, reduce waste, and enhance overall factory efficiency through automation and data-driven insights.
Features
- Real-time defect detection using AI-powered computer vision
- Integration with circular knitting machines for automated inspection
- Automated flagging of defects, reducing the need for manual review
- Digitalized production data, replacing paper-based processes
- Traceability features for easy sharing of data with partners
- Reporting dashboards for monitoring and controlling operations remotely
- Root cause analysis tools to identify and address the source of defects