Keysight Technologies, announced SOS Enterprise, an advanced edition of its engineering data management platform. The solution builds on SOS Core software and automates engineering data governance and traceability to support AI adoption at enterprise scale in semiconductor and electronics design.
Engineers in the sector face increasing design complexity and data volumes, particularly in multi-site organizations where data is siloed across tools and file systems. This leads to manual workflows, time spent searching for information, use of incorrect data versions, and efforts to resolve integrity and correlation issues. The absence of traceability creates compliance challenges and restricts AI adoption, as machine learning requires organized data for reliable large-scale operation.
SOS Enterprise establishes a single system of record that converts fragmented design information into governed, reusable knowledge across distributed organizations. It provides clear data lineage, automated compliance tracking, and standardized management of engineering information across multiple sites and regulatory environments. Design files and verification data are handled as versioned, traceable assets to facilitate integration of AI tools into design and verification workflows.
Key features include:
Automated compliance at enterprise scale, with audit trails, role-based access control, and software bill of materials tracking that does not increase engineering workloads. This supports regulatory needs in industries such as aerospace, defense, and automotive.
Enhanced data security and access control through fine-grained permissions, geofencing, and compliance-driven restrictions across regions and teams.
Elimination of manual work via automated traceability and custom workflows throughout the design lifecycle, tracking data origins and relationships while preparing information for AI use.
Improved IP reuse across sites, allowing teams to discover and reuse validated IP through the single system of record.
Simon Rance, General Manager, Data and IP Management at Keysight, stated that engineering organizations are prepared to adopt AI but face issues with disorganized data in disconnected systems, which prevents trustworthy AI outcomes. SOS Enterprise automates manual governance and traceability tasks to make engineering data AI-ready, enabling teams to prioritize innovation over data management. Early customer deployments showed improvements in IP reuse, faster project orchestration, and reduced operational overhead.
Resources mentioned include the SOS Enterprise webpage, a webinar titled "From Silos to Systems, From Data to Insight," and a white paper of the same name.
