About the nominee:WeSolv is an AI and performance data-driven platform that automates sourcing more diverse candidates and objectively assessing skills and competencies with real mini-projects (Case Challenges). Our IO psychology research-based skills and data models allow companies to select the role(s) they're looking to hire, share company-specific details, and automate scoping and crowdsourcing real projects to engage and assess candidates. WeSolv democratizes access to real experience and uses predictive data to reduce hiring bias.
Why they should win:In a world where privilege and access dictate the opportunities that one is afforded, WeSolv automates sourcing more diverse candidates and objectively assessing skills and competencies through real mini-projects. The platform allows companies to select the role(s) they're looking to hire, share company-specific details, and automate scoping and crowdsourcing real projects to engage and assess candidates based on research-based skills and data models. WeSolv not only helps companies increase pipeline diversity and reduce bias, but also democratizes access for diverse candidates to showcase skills and perform better in a company's hiring process. Addressing the inequity in hiring is the single most important way to address the wealth gap we see today.