RTM provides AI-driven data solutions for advanced manufacturing, utilizing deep learning algorithms to detect anomalies and predict outcomes in semiconductor and manufacturing processes. Their technology enhances production yield by identifying defects and optimizing equipment performance in real-time, significantly reducing operational costs and improving product quality.
Funding
$6.5M 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.
Founders
Product
Problem
In advanced manufacturing, particularly in sectors like semiconductors, displays, and PCB, subtle anomalies and process variations can lead to significant yield loss and increased operational costs. Traditional methods often fail to detect these issues in real-time, hindering proactive intervention and optimization.
Solution
RTM provides AI-powered solutions that address these challenges by offering real-time anomaly detection and predictive capabilities for manufacturing processes. Their core offerings include EHM, a platform for semiconductor equipment performance diagnostics, and Hubble, a vision AI solution for quality inspection. These solutions leverage deep learning algorithms to analyze vast amounts of process data, identify subtle deviations, predict equipment failures, and optimize process parameters. By providing engineers with actionable insights and automated analysis, RTM enables proactive process management, reduces downtime, improves product quality, and ultimately enhances manufacturing yield.
Target Audience
RTM's primary customers are process engineers and manufacturing managers in the semiconductor, display, PCB, automotive components, and other advanced manufacturing industries.
Features
- **EHM (Equipment Health Management):** Real-time anomaly detection and fault prediction for semiconductor manufacturing equipment using OES and equipment parameters.
- **Hubble:** A vision AI solution that enables users to create and deploy custom quality inspection models without requiring specialized AI knowledge.
- **Tailored AI:** Custom AI model and solution development for unique manufacturing process challenges.
- **Time-series pattern recognition:** Anomaly detection and clustering technologies for predictive maintenance and fault diagnosis.
- **Health Scoring:** Technology to estimate uniformity and identify key sensors impacting process performance.
- **Real-time parameter analysis:** Enables the detection of subtle changes and degradation in equipment performance.
- **Integration with existing manufacturing systems:** Facilitates seamless data exchange and workflow automation.