Vinnova, Sweden’s national innovation agency, has awarded funding to TRUSTAM (Trusted Federated Intelligence for Additive Manufacturing), a consortium-driven initiative bringing together Interspectral, Saab, AMEXCI, and Scaleout Systems. The program targets one of the most persistent friction points in industrial AI adoption: how to build shared intelligence across production sites while keeping sensitive process data fully on-premise.
A Framework Built Around Data Sovereignty
At the center of TRUSTAM is federated learning, an architecture where AI models grow smarter collectively across multiple environments without raw data ever being transmitted outside the facility that generated it. Only model updates travel between sites, allowing shared improvement without shared exposure.
Within that structure, Interspectral holds a central technical role, leading development of the local AI model responsible for learning from each machine’s unique process data, as well as the workflow design that ties monitoring, analysis, and decision-making into a continuous operational loop.
“We entered this collaboration because the challenge it addresses is one we encounter with our customers every day,” said Isabelle Hachette, CEO of Interspectral. “How do you scale AI-driven quality assurance across multiple production sites and different machine environments without ever compromising data security or IP ownership? That question demands a collaborative answer, and this consortium is uniquely positioned to deliver it.”
Building on Proven Ground
The project draws directly on Interspectral’s existing AM Explorer platform, which is already integrated across more than 60% of the metal additive manufacturing machine landscape and deployed with customers including GKN Aerospace and Volum-E. TRUSTAM will accelerate planned platform capabilities, including on-premise AI training and multimodal process analysis.
Expected outcomes include machine-specific AI models tuned to individual production conditions, a validated cross-site collaboration framework, and live demonstrators proving the technology in aerospace and defense environments, two sectors where quality traceability is non-negotiable.
“Being trusted with the technical core of this project reflects the confidence our partners have in our platform and our competence,” added Hachette.
TRUSTAM runs through early 2028, concluding with a full demonstrator phase and broad dissemination of results. For an industry still working through the challenge of qualifying AI for safety-critical production, the program represents a concrete step toward infrastructure that is not just intelligent, but provably trustworthy.
The Gap TRUSTAM Is Built to Close: AI Adoption in Safety-Critical Manufacturing
Interspectral’s role in TRUSTAM addresses a structural problem that has slowed AI integration across industrial additive manufacturing for years: the tension between collective intelligence and data sovereignty. As 3D printing moves into critical-path production for regulated sectors like defence, aerospace, maritime and energy, data management and cybersecurity are no longer peripheral concerns, they are the primary barriers to scale.
Besides TRUSTAM, other players are tackling adjacent pieces of the same problem.Ai Build has been developing AI-driven toolpath generation and automated quality assurance software since 2015, using machine learning to push first-time print success rates from around 40% to over 90%, but within single-site environments, not across distributed facilities.
Oqton’s Build Quality platform takes a similar approach, combining build simulation, real-time monitoring and inspection into a unified quality assurance loop, powerful at the machine level but not designed for cross-site intelligence sharing without data exposure.
What sets TRUSTAM apart is precisely what those platforms don’t yet offer: federated learning that shares intelligence across sites without moving raw data. By leading the local AI model development within that framework, Interspectral isn’t just upgrading its own platform, it’s building the infrastructure AI adoption in safety-critical manufacturing has been missing.
3D Printing Industry is inviting speakers for its 2026 Additive Manufacturing Applications (AMA) series, covering Energy, Healthcare, Automotive and Mobility, Aerospace, Space and Defense, and Software. Each online event focuses on real production deployments, qualification, and supply chain integration. Practitioners interested in contributing can complete the call for speakers form here.
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Featured image shows Federated Intelligence for Additive Manufacturing. Photo via Interspectral.
