- Keysight Technologies announces the launch of SOS Enterprise, an evolution of its engineering data management platform.
- This version is based on the SOS Core software and aims to automate data governance and traceability to facilitate the integration of artificial intelligence (AI) into semiconductor design processes.
The development of semiconductors and electronic systems is accompanied by an increase in the volume and diversity of technical data. In organizations spread across multiple sites, this data is often stored in heterogeneous tools and systems. This fragmentation can lead to manual searches, versioning errors, and difficulties in correlating design and verification results.
According to Keysight, these constraints also impact regulatory compliance and limit the use of machine learning tools, which require structured and traceable data to function consistently across an organization.
A Centralized Record System
SOS Enterprise offers a unique record system designed to centralize information from design and verification activities. The software establishes data lineage, automates compliance tracking, and harmonizes the management of technical information across different sites and regulatory environments.
Design files, simulation results, and intellectual property (IP) libraries are treated as versioned and traceable assets. The goal is to prepare this data for use in workflows that integrate AI tools, particularly for design analysis, verification, or optimization.
Compliance and Security Features
The platform integrates role-based audit and access control mechanisms, as well as Software Bill of Materials (SBOM) tracking. These features are designed to meet the regulatory requirements of sectors such as aerospace, defense, and automotive.
SOS Enterprise also includes intellectual property protection mechanisms, such as granular permissions, geofencing, and controls tailored to local regulatory constraints.
Automated Workflows and IP Reuse
The software automates data traceability throughout the design lifecycle, documenting data origins and relationships. This approach aims to reduce the manual tasks associated with version control and change tracking.
The platform also enables teams across multiple locations to identify and reuse validated IP blocks from a common repository, minimizing redundancy and improving project consistency.
Simon Rance, Managing Director of Data and IP Management at Keysight, notes that one of the barriers to AI adoption in engineering organizations is inadequate data structuring. According to the company, the first deployments of SOS Enterprise highlighted gains in IP reuse and project coordination.
