Quality for the systems that price and pay risk
InsurTech runs on rating engines, underwriting models, claims adjudication, and policy administration — for carriers, MGAs, reinsurers, and the platforms modernizing them. TestLauncher brings agentic testing, an owned QA Brain, and continuous compliance to how risk is priced and paid, so a quote, a premium, or a claim is provably correct and defensible.
What makes quality hard in insurtech
Rating and pricing that has to be exact — and filed
A rating engine has to compute the same premium the actuaries intended and the regulator approved, across states, products, and endorsements. A drifted factor or a mis-applied rule is a mispriced policy and a filing violation.
Claims decisions that must be consistent and explainable
Adjudication — increasingly AI-assisted — has to be consistent, auditable, and explainable: the same facts reach the same decision, and every approval or denial can be justified to a regulator or a court.
Actuarial and reserving models you can reproduce
Reserves, IBNR, and risk models drive solvency. The result has to be reproducible from the same inputs and defensible under audit, not a black box that shifts between runs.
Model risk in AI underwriting
AI underwriting and fraud models carry bias, drift, and fairness risk. Coverage has to probe the edge cases and monitor the behavior a scripted test — and a compliance review — would otherwise miss.
One intelligence layer for insurtech
The same owned QA Brain — testing, knowledge, and compliance — focused on the risks this sector can’t afford to get wrong.
bugAgent
Autonomous exploration of rating, quoting, and claims edge cases, plus scriptless regression that self-adapts as products, rules, and rate tables change — surfacing mispriced or misadjudicated outcomes before they reach a policyholder.
ARC
Continuous mapping of controls to insurance regimes — NAIC Model Audit Rule, Solvency II, and IFRS 17, alongside state DOI requirements — so rate filings and audits are backed by evidence generated as a byproduct of testing.
Launch App
A sovereign, deterministic foundation where every rating run, model output, and claim decision is reproducible and owned — the same evidentiary bar regulators hold insurers to, applied to the quality data itself.
qualThread
A living thread of rating rules, policy logic, and claims precedent — turning decades of product and underwriting knowledge into intelligence your teams and agents can query, across long-lived books of business.
Designed to support the regimes you work toward
TestLauncher is designed to support programs working toward the standards below and generates the traceability and evidence they call for. Naming a standard here is not a claim of certification — it describes the regimes our customers operate in.
- NAIC Model Audit Rule
US model regulation for insurer internal controls over financial reporting, adopted state by state.
- Solvency II
EU regime governing capital adequacy, risk management, and reporting for insurers and reinsurers.
- IFRS 17
International accounting standard for insurance contracts — measurement, recognition, and disclosure.
- SOC 2
A reporting framework for controls around security, availability, and processing integrity at service organizations.
- ISO/IEC 27001
Information security management systems — a framework for governing how information risk is managed.
Bring the QA Brain to insurtech.
Powered by bugAgent, ARC, Launch App, qualThread, manualTesting. Tell us where quality can’t fail and we’ll show you what an owned intelligence layer looks like for your programs.