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In this webinar, we discussed how AI-driven techniques can be applied within verification workflows to automate extraction of design intent, generate UVM components and assertions, and accelerate coverage closure. We also demonstrated how Agnisys AI² leverages AI models to analyze specifications, RTL, and register descriptions to produce structured verification artefacts and guide coverage analysis more efficiently.

Keys takeways:

  • AI-driven extraction of design intent from specifications and RTL

  • Automated generation of UVM components and assertions

  • Faster and more efficient coverage closure using Agnisys AI²

eBook: How Agnisys Eliminates Redundancies in Semiconductor Design, Verification, and Validation

Overcoming the weaknesses of traditional natural language specifications requires writing the specifications in a precise format rather than natural language, and making this format executable so that tools can generate as many files as possible for the design, verification, programming, validation, and documentation teams. Such a solution is available today.
how agnisys eliminates reduncancies in semiconductor design cvr

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