Insights on expert networks, market research, UX research, and AI training from the CleverX team.
Scientific AI fails in ways only a working scientist can see. This is how to evaluate chemistry, biology, and engineering models with verified domain experts, from rubrics to benchmarks.
A customer-facing agent can be fluent and still get a customer in trouble. This is how to evaluate support, sales, and service bots with the professionals who do the job.
Fine-tuning, RAG, and expert feedback solve different accuracy problems, and teams waste months using the wrong one. This guide maps each to the failure it fixes and shows why all three rely on verified expert data.
Expert data is only as good as its QA. This playbook covers inter-rater reliability, gold sets, and the quality controls that make expert evaluations defensible.
Multimodal models produce images, audio, and video that look right and are often wrong in ways only a practitioner can catch. This guide covers how expert evaluations, rubrics, benchmarks, and demonstrations raise multimodal quality.
In specialized domains a hallucination is a confident, plausible answer that is wrong, and only a practitioner reliably catches it. This guide covers how expert review, rubrics, and benchmarks measure and reduce domain hallucinations.
Expert data costs more per unit than crowd labeling and is worth it where a wrong answer is expensive. This breaks down the pricing models, the ROI math, and how to build a budget that survives finance review.
A method for mapping the B2B buying journey from the buyer's side: how committees really decide, what to ask, and how to recruit the verified buyers who lived it.
Security buyers are guarded, skeptical, and impossible to fake your way to. This guide covers why cybersecurity market research is hard, who to reach across the buying committee, and the methods that earn candid answers.
Energy and utilities research lives or dies on reaching the right insiders. This guide covers who to target, how to screen for real operational experience, and how to field studies quickly with verified professionals.
Fintech is hard to research because the buyers are senior, guarded, and regulated, and because fakes are easy to plant. This guide covers who you need to reach, the methods that work, and how to source verified finance professionals quickly.
GTM plans fail on untested assumptions, not bad products. Here is a research program that validates your ICP, segments, and messaging with real buyers first.