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We evaluate AI systems across code, reasoning, agent and professional workflows, testing whether outputs are correct, robust and aligned with intended behaviour.
Our work spans benchmark and task design, verification, quality control and human oversight — applying the same discipline of independent challenge, traceability and controlled testing used in quantitative model validation.
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