Funding
Funding not disclosed
Founders
Product
Problem
The qualification of new metal 3D printing materials and post-process inspection of printed parts are costly and time-consuming. Traditional methods can require significant investment in testing and inspection, with a substantial portion of part costs allocated to these processes. Furthermore, detecting defects in large or complex components using conventional inspection techniques presents a significant challenge.
Solution
NexusAM provides an AI-powered quality assurance platform designed to streamline the qualification and inspection processes in metal additive manufacturing. The platform integrates with existing factory equipment, leveraging sensor data to create real-time digital twins of printed components. This enables immediate visibility into production quality and facilitates predictive intelligence for defect detection. By automating and enhancing these quality control measures, NexusAM aims to reduce part qualification costs by over 50% and ensure consistent, traceable quality for manufacturers. This technology supports the scalable adoption of additive manufacturing across various industrial sectors.
Target Audience
Primary customers are manufacturers in the aerospace, medical, and energy sectors who utilize metal 3D printing and seek to optimize their part qualification and quality assurance workflows.
Features
- AI-driven platform for real-time process monitoring and predictive quality intelligence in metal 3D printing.
- Seamless integration with existing factory sensor networks, eliminating the need for additional hardware.
- Real-time digital twin generation for immediate component quality visibility.
- Proprietary AI technology stack for accelerated material qualification and defect detection.
- Focus on reducing part qualification costs and improving traceability.