
United Kingdom · Information technology & services startup
MeVitae is a UK-based company specializing in fairness-driven workplace technology.
Funding reportedLast round: Seed
MeVitae is a UK-based company specializing in fairness-driven workplace technology.
Founded in 2014 and headquartered in Harwell, Oxford, it offers AI-powered HR solutions aimed at detecting and mitigating cognitive and algorithmic bias in hiring and workforce management. As a leader in Diversity, Equity, and Inclusion (DE&I), MeVitae provides a comprehensive ecosystem of tools designed to help organizations make smarter, faster, and fairer hiring decisions. The company’s offerings include a blind recruiting applicant tracking system that removes identifying data from candidate profiles, bias detection and mitigation tools, and workforce data consolidation services. MeVitae also provides AI-driven interventions and recruitment consultancy services. With a mission to empower organizations to make equitable decisions, MeVitae is recognized as the world’s first cognitive recruitment system and has achieved ISO 27001 Security Certification for information security management. The company is expanding its operations into the United States and serves a diverse range of clients, including those in technology, life sciences, and legal sectors.
Funding, as reported
What they build
Known for
parsingbias reductionglobal hr solutionsethical aipeople sciencetalent analyticsai in hr complianceenterprisescandidate relationship managementhr techpattern recognitionai transparency and governancehuman resources & staffinginformation technology & serviceshr system integrationai in public sector hiring
Built with from their website
Google Tag ManagerAtlassianPWACloudFlareViewport MetawebpackCloudFlare CDNPriority HintsReactMicrosoft Exchange
Cloudflare InsightsMicrosoft 365 Apps & ServicesMobile FriendlyOpen GraphCloudflare DNSMicrosoft AdvertisingNext.jsGoogle Analytics
Add your raise, your deck and your story, and put MeVitae in front of investors. Or tell us what we have wrong.