Right premium. Proven to the cent.
An independent premium, calculated from your approved rates and rules, that must equal your policy system’s premium on every case you run. For every rate change, bureau update, new state and platform move.
The problem
A mis-keyed factor, a deviation that stopped applying, an edition picked on the wrong date. Your system still returns a plausible premium. So the error surfaces late: as leakage nobody measured, or as a refund with interest. Spreadsheet macros and a few dozen hand-picked scenarios only catch the cases someone thought of.
From the public record
$4M+
refunded by one carrier, with interest, on fewer than 400 policies, after it found its own rating error.
Most of those policyholders had already left.
State insurance department consent order, 2026. The carrier is not named here.
What VeriQuant does
Every case is a match, or a mismatch that names the first step where the two calculations part ways. Anything unexplained stays open. Never counted as passed.
Edition
Does the system rate what you filed, for the right effective date?
Rows
After a rate change, did only the intended rows move?
Leaked
What has already leaked on the policies you have written?
Platform
When you move platforms, does the premium hold?
For your role
VP of Pricing
Every rate action checked before it goes live, and the policies already written re-rated to show what already leaked, with the row and the step.
For pricing →Head of QA
A case for every changed row, with its expected premium. Your team runs the comparison in your own QA, exactly as you test today.
For QA →CIO
Legacy to new platform, state by state, checked against one independent source of truth inside your network.
For the CIO →Proof
A large commercial carrier wrote it into its own acceptance criteria: the simulator’s premium must equal the policy system’s premium, on every case, to the cent. It is the bar we are measured against today. You can open a public example report built the same way.
“Guidewire decided to leverage Karate Labs for our Testing Framework: a powerful, open-source, industry-standard technology designed to make testing automation simple and accessible.”
Will Murphy
VP, Global Technology Alliances, Guidewire
The next step
A rate revision. A bureau update. A new state. An edge case nobody trusts. In 45 minutes, a senior member of our team walks your VP of Pricing, Head of QA and CIO through how the simulator is built for that case, and how your team runs the comparison in your own QA environment, exactly as you test today.
45
minutes
or email info@karatelabs.io
Need a rating check we don’t list? We build it during your evaluation.