Built for the Head of QA who’s tired of Selenium’s locator hell, custom Java harnesses no one wants to maintain, and BAs who can’t read the test suite. One low-code BDD framework. Dual-mode execution. Near-zero maintenance. Server-side, engine-native.
$ verq run --suite=regression --env=prod --mode=dual
» Loading 14 feature files from /rating/**
» Expanding combinatorial matrix... 12,847 scenarios
» Dual-mode enabled (execution + simulator)
» Connecting to Guidewire RS ... ok
[PASS] personal-auto.ca.preferred · 4,211 scenarios · 1.1s
[PASS] homeowners.tx.standard · 3,890 scenarios · 0.9s
[PASS] commercial-auto.fl · 2,144 scenarios · 0.7s
[FAIL] personal-auto.ca.preferred · 3 discrepancies
→ territory_factor diverged at zip 94501 (engine:1.22 vs spec:1.10)
→ driverAge_factor cohort 19–24 missing tier adjustment
→ surcharge_tier Preferred applying flat vs graduated
[PASS] 10 more suites ...
Summary: 12,844 passed · 3 failed · 4.2s total
Selenium baseline for same coverage: ~18h · 14-person QA team
$ _
Run metrics
scenarios/sec
3,058
pass rate
99.98%
mttr
4 min
locator breaks
0
Activity · 12 weeks
nightly runs · color = scenarios executed
A day in your role
CH. 01
Every Head of QA at a modernizing P&C carrier has the same five-stop day. Stand-up triage. Broken Selenium forensics. BA escalations. Release-gate anxiety. Evening regression. VeriQuant collapses four of them.
09:00
Before the stand-up, the nightly run report is in your inbox. 12,844 scenarios passed, 3 flagged. Each failure links to the exact factor divergence — territory_factor at zip 94501, 1.22 vs 1.10. Your stand-up is 6 minutes, not 60.
10:30
Actuarial just approved a new tier structure for Texas Homeowners. The BA writes it in Gherkin — plain-English Given/When/Then — and commits the feature file. No dev queue. No translation layer. Covered in 30 minutes, not 3 weeks.
13:45
Dev ships a fix to PolicyCenter integration. Your pipeline runs the full regression in 4.2 seconds against dual-mode execution. You know within minutes whether the rating bug is in the engine or the test — no finger-pointing meeting. Release goes out at 2:15.
16:00
Guidewire pushes release 2026.1. Under the old stack, three days of locator whack-a-mole. Under VeriQuant, the API-native suite runs unchanged. You leave at 5 PM.
Four nightmares, ended
CH. 02
Every PolicyCenter release breaks selectors. Hours of whack-a-mole. VeriQuant is API-native and Guidewire-embedded — upgrades pass through unchanged.
~0 locator maintenance
Built in 2019 by someone who left in 2022. Nobody wants to touch it. VeriQuant replaces it with a Gherkin DSL BAs can read and devs can extend.
1 framework · API + UI + perf + rating
BAs hand you a Word doc. You translate to test code. Dev edits production. Specs drift. VeriQuant’s executable specification is the single source of truth — BAs write it, devs build against it.
one DSL · zero translation
Test fails. Engine or spec? Dual-mode execution answers that in 30 seconds with a factor-by-factor divergence trace. The meeting doesn’t happen.
mttr: 4 minutes to root cause
Your status report
CH. 03
Regression cycles
Wk → Day
From three-week release gates to overnight regression runs. 4.2 seconds for 12,847-scenario suites, against live Guidewire RS.
single regression · dual-mode execution
Locator maintenance
~0 hrs
Near-zero script maintenance across PolicyCenter releases. API-native, embedded in Guidewire’s own testing framework. Upgrades become a pass-through.
across 3 Guidewire Cloud releases
Team composition
BAs + Devs
Business analysts, actuaries, and developers all contribute in the same Gherkin DSL. The dev-capacity bottleneck dissolves.
one framework · many contributors
Expected outcomes
ModeledWhat your QA team reclaims when rating validation becomes server-side, combinatorial, and BA-writable.
Wk → Day
Regression cycles
12,847-scenario suites running in 4.2s dual-mode against live Guidewire RS — no overnight wait, no UI flake.
~0 hrs
Locator maintenance
API-native, embedded in Guidewire’s own testing framework — PolicyCenter upgrades pass through unchanged.
BAs + Devs
In one framework
Low-code BDD syntax lets actuaries, BAs, and engineers all contribute in the same feature files — dev-capacity bottleneck dissolves.
Source: VeriQuant methodology · Karate Labs internal benchmark
The next step
A solutions engineer walks your team through a live dual-mode validation against your Guidewire Rating Service, shows you the Gherkin DSL against a real feature file, and scopes a PoV against one of your highest-pain LoBs.