Measure what your regression suite costs

Argus QA is a self-hosted AI testing platform designed for enterprise web applications, enabling autonomous regression testing through AI computer-use agents. Unlike traditional tools, it replaces fragile selectors and coordinates with versioned YAML objectives that define roles, assertions, and step budgets. By integrating a sophisticated two-tier model execution strategy, the platform ensures that cost-effective models handle the bulk of the work, escalating to more powerful models only when necessary to resolve agent-side failures. Central to the platform is a rigorous cost-accounting engine that transforms AI testing from an unpredictable expense into a transparent operational metric. Every single model call is metered and aggregated from the individual call level up to the step, scenario, suite, and full release. This granular visibility, combined with a model-agnostic architecture, allows teams to switch providers or update models via a database configuration without redeploying code, ensuring that enterprise QA remains scalable, predictable, and fully under the organization's control.