Core Platform
Smart Crawling (discover pages, flows, and risk)
Point AionQA at a URL and it discovers pages, interactive elements, and candidate user journeys to test—fast, repeatably, and with evidence.
Crawling that is useful for QA (not just SEO)
A lot of tools “crawl” but only collect links. QA needs more: forms, buttons, navigation structures, stateful UI flows, and the relationships between pages. AionQA crawling is designed around testing outcomes, not just discovery.
The crawler collects structure and interaction opportunities so the platform can propose and run workflows that resemble how real users behave.
Why this is cheaper than a traditional QA approach
Traditional QA automation often starts by writing tests before the system has a reliable map of the application. That leads to missed coverage, duplicated effort, and long maintenance cycles as the UI evolves.
AionQA flips the order: it discovers what exists first, then derives workflows. This reduces wasted effort and helps teams reach meaningful coverage sooner with less manual labor.
Security and cost: run crawling inside your infrastructure
If your application is internal-only, behind VPN, or subject to strict compliance, the best option is frequently to run crawling and execution inside your own infrastructure. AionQA is designed to support that model.
When runners execute inside your environment, you keep traffic local, avoid exposing private routes, and often reduce overall cost because you scale compute where it is already easiest for you to manage.
What you get at the end of a crawl
You end up with a living snapshot of your application: discovered pages, the interactive surface area, and candidate journeys. And crucially: evidence and logs that let you validate what was found and why certain workflows were suggested.