SWISS uses a model-based enterprise philosophy to transform documents into collections of intelligent data seamlessly linked — by reference and by concept — to thousands of other pieces of data. Shifting from document level to the object level produces dramatic improvements in design and manufacturing efficiency. See examples below of how SWISS uses AI, semantic processing, and familiar everyday actions to deliver measurable ROI in engineering operations.
Drag and drop data elements from source materials into MS Word to create accurate, trackable, and always-updated derivatives. Reuse these elements over and over across functions and in new projects to save time and eliminate duplicate work. Keep your derivatives private, or share them with co-workers, suppliers, or anyone you wish.
Derivative documents display real-time status of each piece of data, always comparing it to the authoritative source. The colored flags and grey “provenance bars” appear on the document wherever it goes. This ensures that everyone is using the same version throughout the project, eliminating the need for late-stage checking and rework.
With one click, see the exact changes compared to the authoritative source. This significantly reduces time to detect changes and assess the impact of those changes in your project or operation.
Export large complex tables in a single click.
Rather than wading through tens or hundreds of pages to find the information you need, artificial intelligence automatically creates shortcuts to related concepts, reducing time to knowledge and shortening project cycles.
Dynamically-generated reference links between internal and external documents, and automatic Table of Contents cut down navigation and search time and dramatically reduce overall speed to market.