Swedish software company Interspectral and a consortium of leading industrial and technology partners have secured funding from Swedish innovation agency Vinnova to develop TRUSTAM (Trusted Federated Intelligence for Additive Manufacturing), a joint initiative aimed at transforming quality assurance and process intelligence in additive manufacturing through secure artificial intelligence technology.
This project brings together Interspectral, Saab, AMEXCI, and Scaleout Systems to address one of the most important challenges facing industrial-scale additive manufacturing: protecting sensitive manufacturing data and intellectual property while enabling intelligent process monitoring and quality assurance across multiple production facilities.
TRUSTAM has received funding of SEK 7.4 million (EUR 679,000) through Vinnova’s “Industrial Applied AI through Advanced Digitalization 2026” program, which will run until April 2028. The effort will focus on developing and validating a federated learning framework that allows AI models to be collaboratively trained across geographically distributed manufacturing environments without transferring raw production data.
Federated learning allows organizations to keep sensitive data within their local facilities while only sharing model updates, creating a secure approach to building more accurate and effective machine learning systems. This technology is particularly relevant to industries such as aerospace, defense, energy, and other highly regulated sectors where strict security requirements often limit data sharing between sites.
The consortium will work to establish a practical framework for secure AI collaboration across production environments, demonstrating the technology on the aerospace and defense manufacturing floor. Expected outcomes include machine-specific AI models, advanced multimodal process analysis, and integrated workflows that link manufacturing monitoring, analysis, and quality decision-making.
Interspectral will play a central role in the project by leading the development of a localized AI system designed to work directly within manufacturing facilities. These systems learn from machine-specific process data and adapt to unique production conditions, materials, and equipment configurations.
The effort is also based on Interspectral’s AM Explorer platform, which integrates data from monitoring systems, simulation, and post-production inspection to provide comprehensive visibility into the additive manufacturing process. The platform is already being used by organizations across the metal additive manufacturing sector and has supported a wide range of initiatives to improve production reliability and quality assurance.
TRUSTAM reflects the growing convergence of artificial intelligence, digital twin technology, and industrial data infrastructure that is reshaping advanced manufacturing. By enabling secure collaboration between distributed production sites, the project aims to accelerate the adoption of additive manufacturing in safety-critical industries where certification, traceability and real-time quality verification remain essential requirements.
