WorkerGen is the marketing name used by Workera for its AI-driven talent development agent, which is operationally built on the platform's core AI agent system called Elo. Workera itself is a skills intelligence company founded by AI educator Andrew Ng, focused on helping enterprises measure and close skill gaps through verified, AI-native assessments and personalized learning. The platform centers on a Skills Intelligence Engine that powers four purpose-built AI agents covering hiring, onboarding, upskilling, internal mobility, and certification. The core agent, Elo, operates as a multi-agent system that orchestrates skill mapping, assessment composition, conversational measurement, rubric-anchored scoring, and insight delivery across the talent lifecycle. A distinctive capability called Ambient provides always-on capability measurement by reading signals from the productivity apps employees already use daily, turning a static assessment baseline into a continuously refreshed capability graph. This ambient layer supplements formal assessments with real-world behavioral data. Workera covers an ontology of over 7,000 verified skills with particular emphasis on AI readiness. The platform has verified over 9 million skills across global enterprise customers and reports that active participants advance from foundational to accomplished proficiency roughly four times faster than industry norms. Customers include large enterprises in sectors such as medical devices and financial services. As of 2025 and 2026, Workera has been recognized by TIME as one of the Best EdTech Companies, included in the GSV 150 list of top private companies in digital learning, and recognized by Everest Group for leadership in the Skills Intelligence category. Pricing is not publicly listed and is custom-packaged for enterprise customers. Key features: - Elo multi-agent system for skill mapping, assessment, scoring, and personalized learning - AI-native assessments including conversational role play, live coding environments, simulations, and situational matching - Ambient always-on capability measurement that reads skill signals from apps employees already use - Ontology of 7,000+ verified skills with emphasis on AI and technical readiness - Rubric-anchored scoring overseen by human assessment scientists - Personalized learning pathways derived from each learner's verified skill gaps - Enterprise integrations via SSO, learning path management, and analytics dashboards - AI Mentor (Elo Mentor / Sage) providing conversational coaching and development guidance
Not public — custom enterprise packaging