Zuken Launches GENESYS 2026 to Broaden Access and Improve MBSE Workflows

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Zuken announced GENESYS 2026, the latest version of its model-based systems engineering platform, with updates designed to improve performance, expand access to model-based information, and enhance the day-to-day modeling experience for engineering teams.

Organizations often limit MBSE adoption to specialist users because model data can be difficult to integrate into broader business processes. With GENESYS 2026, Zuken expands access through SIDEKICK, a web-based collaboration client that allows a wider range of stakeholders to work with model-based information.

SIDEKICK provides a browser-based environment where reviewers, project managers, and domain specialists can access model-derived information, track responsibilities, and participate in structured workflows without requiring full desktop access. This release also improves how users organize and act on assigned work, supporting team alignment in distributed development environments.

GENESYS 2026 also introduces performance improvements across core modeling workflows. Updates to diagram loading, navigation, cross-project performance, project open times, and report generation help teams work more efficiently with large, interconnected system models.

In addition, the release enhances the modeling experience with updates to diagramming, reporting, and usability. New options for diagram layout and formatting give users more flexibility in creating and interpreting model views, while reporting enhancements support faster generation and sharing of model-based information. Additional usability updates improve day-to-day interaction with complex models.

“GENESYS 2026 focuses on addressing common challenges in scaling model-based systems engineering across complex development environments,” said Andy Henderson, principal product manager for GENESYS at Zuken. “By improving performance, accessibility, and usability, this release supports teams working with large system models and extends access to model-based information across functions.”