Traceability from system intent to silicon.
TraceSilicon bridges the gap between requirements, system architecture and semiconductor implementation—creating a continuous engineering thread for complex SoC, SiP and chiplet development.
Connect what the product should do with how the silicon implements it.
Semiconductor development information is distributed across requirements tools, system models, schematics, netlists and implementation databases. TraceSilicon creates structured relationships across these engineering domains.
Three capabilities. One engineering knowledge thread.
TraceSilicon Modeller
Explore existing semiconductor design data and generate structured physical architecture that can be transferred into SysML/MBSE environments.
Consistency & Traceability
Connect requirements, architecture and implementation; detect mismatches and support change-impact analysis across engineering domains.
TraceSilicon AI
Use structured engineering models as a foundation for AI-assisted reviews, engineering analysis, audit preparation and knowledge retrieval.
Turn engineering traceability into measurable business value.
TraceSilicon helps semiconductor organizations reduce development risk and the cost of late changes by connecting requirements, architecture and implementation in one continuous engineering thread.
Identify inconsistencies and missing links earlier, reducing the risk of costly late-stage rework, integration issues and avoidable engineering iterations.
Automate model creation, improve change-impact visibility and reduce manual information transfer across engineering disciplines.
Maintain consistent, traceable engineering information from system intent to silicon implementation and support more systematic reviews.
Reduce repetitive documentation work and help engineers find relationships, dependencies and relevant technical information faster.
Understand how requirement and architecture changes propagate toward semiconductor implementation before they become expensive.
Create structured traceability that supports evidence gathering, reviews and quality-driven development processes.
Capture engineering relationships in reusable models instead of leaving critical product knowledge fragmented across documents and experts.
Build a structured, machine-readable foundation for future AI-assisted reviews, analysis, FMEA support and knowledge retrieval.
Designed for complex semiconductor products.
TraceSilicon focuses on engineering environments where architecture complexity, cross-domain collaboration and traceability have direct impact on development quality and efficiency.
Semiconductor expertise meets Model-Based Systems Engineering.
TraceSilicon is being developed specifically for the semiconductor and electronics domain. The goal is not to replace established EDA or MBSE tools, but to connect engineering information across them and make the relationships accessible, traceable and machine-readable.
Bring your engineering thread together.
We are looking for semiconductor teams and technology partners interested in evaluating TraceSilicon on real engineering workflows.