Insights on expert networks, market research, UX research, and AI training from the CleverX team.
171 articles
A head-to-head look at CleverX and Toloka as sources of data for AI. CleverX supplies credential-verified working professionals for high-stakes judgment, while Toloka is a global crowd data platform built for scalable labeling and increasingly for generative-AI data. Includes a comparison table and a task-first framework for choosing.
Surge AI is a leading RLHF and human-feedback specialist. CleverX supplies verified domain experts. A fair, fact-checked 2026 head-to-head.
A head-to-head look at CleverX and Turing as sources of expert data for AI. CleverX supplies credential-verified working professionals across regulated and technical domains, while Turing is best known for vetted software engineers and coding-focused training data. Includes a comparison table and a task-first framework for choosing.
AI governance frameworks demand defensible evidence that a model meets professional and legal standards. This guide shows how verified experts produce that evidence.
An AI tutor can give the right answer and still teach badly: solving the problem for the student instead of guiding them to it. This guide covers how expert educators grade pedagogy and correctness in tutoring models.
A finance or healthcare copilot can sound fluent and still give advice a practitioner would reject. This guide covers how expert evaluations, rubrics, benchmarks, and demonstrations from working professionals raise vertical copilot quality.
A high AUC tells you a fraud model separates two historical classes, not whether it catches the novel scheme or clears the honest customer. This guide covers how expert evaluations, rubrics, benchmarks, and demonstrations raise fraud and risk model quality.
Click-through rate tells you a recommendation got engagement, not whether it was relevant, appropriate, or safe. This guide covers how expert evaluations, rubrics, benchmarks, and demonstrations raise the quality of recommendation and personalization models.
A BLEU score tells you a translation overlapped with a reference, not whether it changed the meaning of a contract clause. This guide covers how expert evaluations, rubrics, benchmarks, and demonstrations raise translation and multilingual model quality.
A RAG answer can cite three sources and still misrepresent all of them. This guide covers how expert evaluation measures faithfulness, citation accuracy, and completeness in retrieval-augmented systems, and where human domain judgment fits.
Word error rate tells you a transcript resembled the reference, not whether the one misheard number mattered. This guide covers how expert evaluations, rubrics, benchmarks, and demonstrations raise the quality of transcription, voice agents, and speech models.
A gold standard dataset is only as good as the ground truth behind it. This guide shows how verified experts construct answer keys and adjudicate disagreement into labels you can trust.