Expert-driven evaluation, validation, and training data for AI systems that handle subjective, high-stakes domains such as politics, foreign affairs, and mental health. Peer-reviewed, expert-in-the-loop benchmarking and scalable annotations to assess bias, credibility, tone, clinical appropriateness, and accuracy for AI vendors and regulators.