Veriscore scores job-seekers 1 to 10 on how well they actually use AI tools in their field, from business roles like Marketing and Finance to technical disciplines like ML Engineering and Cybersecurity, then matches them to open roles with a 1 to 5 star fit rating and a localized salary hint.
Each field test is 10 scenario-based questions, not trivia, weighted across four sub-skills, producing an overall 1 to 10 fluency score.
Does the candidate know which AI tool actually fits the job, not just that "AI" exists.
Can they apply AI inside a real workflow under realistic constraints, like time pressure or scale.
Do they catch bad, biased, or unverified AI output before it reaches a client, board, or customer.
Do they know when AI output needs a human check, such as for compliance, legal or factual reasons, and when it doesn't.
Most AI-skills platforms today sell assessment software to companies to screen their own applicants. Veriscore is candidate-facing first: you build your score once, and recruiters find you.
Veriscore verifies both the underserved business-fluency niche (marketing, sales, accounting, finance, lead-gen) and a wide span of technical disciplines, from ML engineering to cybersecurity to computer vision, with a real scored test either way.