ASIC verification is becoming one of the most demanding reasoning disciplines in engineering.

As chip complexity grows, verification teams are asked to debug systems that combine many protocols, third-party IPs, deep design hierarchies, and highly concurrent behaviour. In AI accelerators, networking silicon, automotive SoCs, and other complex designs, a single failure may involve evidence spread across logs, monitors, scoreboards, assertions, coverage reports, protocol traces, and waveforms.

The challenge is not only to generate more data. It is to interpret the available evidence correctly and connect it across the right engineering context.

This is where structured analysis and cross-layer correlation can add value. By organizing evidence across logs, protocol activity, checkers, scoreboards, and design context, verification tools can help engineers see relationships that may otherwise remain buried in noise.

The goal is not to replace engineering judgement, but to give that judgement better visibility, stronger context, and a clearer starting point for investigation.

We are building ASIC verification intelligence tools designed to help engineers interpret complex verification data faster, connect evidence across domains, and investigate failures with greater confidence.


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