Strategic Partnership for Open-Standard Digital Twins, PLM Interoperability, and AI/ML Data Contextualization

Jotne Connect is looking to engage in R&D partnerships with Polish organizations to co-develop applied industrial projects under the POLNORIS call. We provide a proven, commercial-grade software environment (EXPRESS Data Manager™) that serves as the "single source of truth" for complex industrial Digital Twins.

A core focus of our technology development is the contextualization of engineering and product lifecycle data for AI/ML applications. By mapping disparate data streams into strict, open ISO standards (STEP), we provide the clean, structured semantic foundations required to train trustworthy machine learning models and industrial AI/ML systems without data loss or hallucinations.

We want to collaborate with partners to design innovative solutions in

• AI-Driven Digital Twins: Contextualizing real-time sensor data and lifecycle CAE configurations for predictive AI analytics and anomaly detection.

• Smart & Additive Manufacturing: Maintaining data continuity from design to end-of-life recycling, using AI/ML to optimize process deviations.

• Model-Based Systems Engineering (MBSE): Automating and streamlining multi-disciplinary engineering processes with intelligent, standardized data pipelines.

What we are looking for:
We are seeking to partner with Polish universities, research institutes, or industrial enterprises that have strong capabilities in physical prototyping, hardware-in-the-loop (HIL) testing, advanced manufacturing physics, or advanced AI/ML algorithms, and who want to leverage open ISO standards to ensure data integrity and maximize the performance of their intelligent systems.