Artificial Intelligence to Drive New PLM, MBSE and Digital Twin Innovations

Jotne Connect, a subsidiary of the Jotne Group, is launching a new artificial intelligence (AI) unit that the company says will drive next-generation innovation in model-based systems engineering (MBSE), product lifecycle management (PLM), and digital twin solutions. The division will be led by  Dr. Aditya Gupta.

According to a press release, the AI unit will embed intelligence into Jotne Connect's PLM and SDM solutions by enabling:

• Automated classification, search, and reuse of engineering and simulation assets
• AI driven LLM models for intuitive querying and analysis of complex data
• Predictive maintenance based on structured operational, simulated or generated data
• Dynamic linking of design, requirements, and analysis data across the lifecycle
• AI-powered validation and verification pipelines that reduce errors and improve compliance

The Jotne AI unit will also enhance MBSE by:

• Integrating semantic reasoning and machine learning into model-based design environments
• Supporting cross-domain engineering models (mechanical, electrical, software) with consistent data semantics
• Enabling continuous model improvement and its deployment through intelligent model validation, impact analysis, and requirements traceability.
• Leveraging ISO 10303-based data structures for persistent, federated model access

By combining AI with open standards, the company says it can help engineers to "make faster, more informed decisions while ensuring long-term interoperability and data integrity."

The company has traditionally emphasized implementation of ISO 10303 (STEP) for the exchange of product model data. The company says the AI unit will further improve standards deployment in several ways:

• Digital twin integration with real-time data feedback loops
• Autonomous system development, where multidomain data integration is critical
• Federated MBSE/PLM environments, enabling collaborative engineering across supply chains
• Smart manufacturing diagnostics and IIoT data contextualization
• Detection of irregularities in multidomain data through AI modeling.

"We believe the future of digital engineering lies at the intersection of open standards and intelligent technologies," said Vilde Marie Sørensen, CEO of Jotne Connect. "By bringing AI into the core of MBSE, PLM, and SDM workflows, we are not only enhancing engineering productivity but also enabling long-term, interoperable digital ecosystems. We are thrilled to have Dr. Aditya Gupta leading this transformative journey."

Sources: Press materials received from the company and additional information gleaned from the company’s website.