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Industry-First CLI-Based AI Agent

Design Verification AI Agent

Transform complex simulation and regression data into actionable verification insight

DV
Agent
Capabilities

Built for Verification Teams

Purpose-built features that address every pain point in the design verification workflow.

Automated Large-Scale Log Parsing & Error Clustering

Ingests thousands of simulation log lines and automatically clusters errors, eliminating days of manual triage.

Correlates Errors with RTL, Testbench & Specs

Every error is mapped back to its root source in RTL, testbench logic, or specification documents instantly.

Faster Debugging Cycle

Reduce regression debug from 2–3 days to under 10 minutes with AI-driven analysis and insights.

Possible Fix Suggestions with Code References

Get actionable fix suggestions with direct code references — no more guessing or blind debugging.

One-Click Jira Ticket Generation*

Auto-generate Jira tickets with root cause, severity, affected modules, and fix hints — zero manual writing.

Improve Verification Efficiency

Accelerate tape-out timelines by dramatically reducing debug cycles and improving first-pass success rates.

How It Works

Parse. Analyze. Fix & Ship.

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

1

AI Engine

DV agent processes all context simultaneously

2

Insights

Root cause, fix suggestions, confidence score

3

Self-Heal

Auto-patch, validate fix

4

Validate

Re-run regression and confirm the fix

Live Metrics

Real-Time Verification Impact

Live statistics fetched directly from our database, showcasing the ongoing impact of the DV Agent.

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Regression Cycles

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Issues Identified

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Automated Fixes

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Reports Generated

0%

Success Rate

Time Saved Per
Cycle

Let's Collaborate to Accelerate
Innovation

Ready to transform your verification workflow? Get a personalized demo of VeriQuest DV Agent and see the 97% improvement in action.

Demo Video

Discover How VeriQuest Accelerates
Debug & Validation

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.

Live Metrics

Real-Time Verification Impact

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.

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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.