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Autometrics provides real-time quality control systems for arc welding and additive manufacturing using machine learning. Their retrofittable system analyzes manufacturing workflows to detect and prevent defects as they occur. This enables manufacturers to improve quality and reduce waste.

Founded 202031K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Traditional manufacturing quality control relies on post-production inspection, leading to delayed defect detection, increased rework costs, and potential profit loss due to defective products and downtime. Existing sampling-based quality control methods are inadequate because they cannot inspect every manufactured item.

Solution

Autometrics provides real-time quality control systems for advanced manufacturing processes like arc welding and additive manufacturing. The company's machine-independent platform, X-Sigma, uses sensor fusion and physics-guided AI to monitor process quality and proactively detect deviations from expected parameters. By analyzing data from visual, electrical, motion, and acoustic sensors, the system identifies potential defects as they occur, enabling manufacturers to take immediate corrective action. This approach mitigates reactive containment, reduces rework, minimizes delays, and ensures consistent product quality.

Target Audience

Autometrics targets manufacturers in industries utilizing arc welding, additive manufacturing, and other advanced manufacturing processes, particularly those seeking to improve quality control, reduce waste, and optimize production efficiency.

Features

  • Sensor-agnostic platform compatible with various manufacturing processes, including wire-arc additive manufacturing, laser welding, manual welding, arc welding, and plasma cutting
  • Real-time monitoring of process parameters using sensor fusion, incorporating visual, electrical, motion, and acoustic data
  • Physics-guided industrial AI and analytics for transparent, automated learning and low-data training
  • Deviation detection algorithms that monitor process quality instead of product defects
  • Integration with Programmable Logic Controllers (PLCs) for seamless data exchange and control
  • Web application interface for real-time visualization and analysis of process data
  • End-of-line feedback capabilities for continuous improvement and process optimization
This profile is AI-generated and may contain inaccuracies.