Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
HIHQ provides human-in-the-loop evaluation and high-quality training data to achieve true model reliability, highlighting that 80%+ of real-world failures are missed by automated testing. Their services include adversarial and qualitative stress testing by domain experts, plus precision data annotation at scale across computer vision, natural language, audio, multilingual, and RLHF/fine-tuning tasks, backed by global operations and competitive cost-per-action. They also host an invitation-only global AI talent community of elite researchers to support model evaluation and data labeling.
Parse Score
Sources
hihq.ai shapes more of what AI says about HIHQ than any other source, at 100% of its citations.