Causality is a quality assurance platform for AI models in finance, healthcare, and law. Today, many teams test models by trying a handful of prompts and examples, then rely on intuition instead of a consistent way to measure how well the system was checked. Causality connects to a model, runs domain-specific test suites for hallucinations, bias, robustness, and privacy, and uses pre-built rubrics that define what a “good” answer looks like in each workflow. It returns clear pass/fail results with coverage and evidence, helping organizations prove their AI has been properly tested before deployment.
