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An ecosystem of Agentic AI workflows designed to accelerate root-cause debugging, drive intelligent automation, and ensure continuous validation across the entire silicon-to-software lifecycle.

Industry-First CLI-Based AI Agent

Design Verification AI Agent

Transform complex simulation and regression data into actionable verification insights.

Debug Bandwidth Optimization to 99%

Identifies the real root cause of every failure — not just symptoms — with precise code-level pointers.

Ownership Recommendation

Routes issues to the right owner: RTL → Designer, TB → DV Eng, Spec Gap → Architect.

Full-Stack Error Correlation

Maps every error to its source RTL, testbench, or specifications with precision.

Fix Recommendation

AI-suggested fixes with code and logic pointers to resolve failures faster.

Auto Jira Assignment

Creates and assigns Jira tickets to the recommended owner automatically — zero manual effort, share fix hints with RCA.

Self-Healing

Auto-applies patches to RTL or testbench, re-runs regression, and validates the fix end-to-end.

Live Metrics

Real-Time Verification Impact

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Regression Analysis
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Unique Bugs Identified
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Bug Analysis
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AI-Suggested Fixes
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Total Debugging Hours Saved
How It Works

Parse. Analyze. Fix & Ship.

Three simple steps to transform your verification workflow from reactive debugging to proactive, AI-driven resolution.

1

DV Engineer

feeds logs + RTL, testbench + specs as Inputs

2

AI Engine

Dv agent processes all context simultaneously

3

Insights

Root cause, fix suggestions, confidence score

4

Self-Heal

Auto-patch ,validate fix

Challenges & Solutions

The DV Engineer's Pain —
and How VeriQuest Solves It

Challenges
With DV Agent
01

Manual Log Triage Takes Days

Engineers spend 2–3 days per regression manually sifting through thousands of simulation log lines to identify failures.

Automated Parsing of Log Files

VeriQuest ingests, parses, and clusters errors across all logs automatically — delivering results with AI Insights.

02

No Context Across RTL & TB

Errors are read in isolation. Engineers must manually cross-reference RTL code, testbench logic, and spec documents.

Full-Stack Error Correlation

AI engine correlates every error to its source in RTL, testbench, or specification — instantly providing full design context.

03

Manual Bug Reporting & Ticketing

Writing Jira tickets is tedious and error-prone. Context is lost between debug session and the ticket being filed.

One-Click Jira Ticket Generation*

Auto-generated with root cause, severity, affected modules, and fix hints — no manual writing required.

04

Fix → Re-run Loop is Slow & Manual

After a fix, engineers must manually kick off re-runs, wait, then re-evaluate — repeating many times per regression.

Self-Healing AI Loop

VeriQuest auto-applies patches to RTL or TB, re-runs regression, and validates the fix — closing the loop without manual intervention.

Demo Video

Discover How VeriQuest Accelerates
Debug & Validation

Start your VeriQuest journey Now

Discover how AI-driven verification intelligence can help your team reduce debug cycles, optimize regressions, and daily work faster.