Built to be trusted

Every OpenScouter safeguard explained in plain language, backed by the systems we have actually built.

Enterprise procurement teams and data protection officers ask hard questions. We have documented every answer.

AI Governance

How our AI systems make decisions, explain their reasoning, and keep humans in control at every step.

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Security

How we protect your data, your testers, and your clients across every layer of the platform.

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Privacy

How we handle personal and special-category data, who can access it, and how long we keep it.

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Mental Capacity

How we protect neurodivergent testers, ensure informed consent, and safeguard vulnerable participants.

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Data Ethics

How we prevent bias, audit our AI outputs, and ensure no profile group is unfairly disadvantaged.

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Methodology

Panel composition, severity rubric, WCAG mapping, A/B protocol, and the explicit limits of what we test.

Read the methodology

Bias Audit

Cross-study ND cohort scoring deltas with 95% confidence intervals and Simpson's paradox checks.

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