The SBE Approach

Ontology-First Approach to Data Mapping and Ingestion

Next-Generation Graphical Ontology and Model Management User Interfaces for End Users

Hub-and-Spoke, Fully Bidirectional Connector Architecture

Built-In No-code Dashboarding and Analytics provided Out-of-the-Box

Application-Centric, Polyglot SBE Connector SDK (Java, Python, C#, and JavaScript currently supported)

Icon showing stacked boxes with lights. Representing a server tower

Full Support for Server-Based and Rich-Client Connected Systems

Completely Cloud-Agnostic Deployment Architecture

Full On-Premise or Cloud-Based CaaS Environment Support

Common Embedded User Interfaces Flatten the Learning Curve for Subject Matter Experts

Support for Classified and
Air-Gapped Deployments

Where SBE Vision Provides Solutions

Multiple engineering tools with inherently incompatible data shapes
No apples-to-apples approach to compare data from different engineering disciplines
Newly adopted engineering tools and systems, innovative as they may be, require a steep learning curve
End users must have the ability to manipulate data from their specific engineering vantage point
Most engineering decisions require input from several engineering domains

Legacy Systems must be fully integrated within modern interoperability solutions
Engineering tools employ a variety of incompatible Configuration and Change Management paradigms
Enterprise-wide Reporting and Analytics must be outsourced to third-party tools
Data is held in tools within Cloud or On-premise Environments, depending on the tool

The SBE Platform Within Digital Engineering

SBE Vision develops cutting-edge interoperability software that sets the standard for managing engineering data across complex product and program organizations. With continuous development of the SBE platform including new features scheduled for each upcoming release, SBE Vision will expand upon our powerful tools that transform the world’s most complex product development processes.