Master Ed

Company profile

Master Ed company profile

Master Ed is transforming how credential-based learning providers verify real competency in the age of AI. The platform uses voice-first conversational assessments to evaluate how learners think, not just what they produce, addressing the fundamental challenge facing education, certification, and professional development: proving authentic understanding when AI can generate any written response. The Problem: Traditional written assessments have become obsolete. Students and professionals can use generative AI to produce essays, exams, and assignments that appear competent but may not reflect genuine understanding. This creates a credibility crisis for any institution issuing credentials, from universities to professional certification bodies to corporate training programs. The question is no longer "what can someone write?" but "what do they actually understand?" The Solution: Master Ed's conversational AI conducts adaptive voice assessments that probe understanding in real time. The platform integrates with existing course materials, rubrics, and learning objectives to create natural dialogue-based evaluations. These conversations reveal reasoning patterns, conceptual gaps, and demonstrated competency in ways that written tests cannot, making assessments more authentic while providing richer insight into learner capabilities. Market & Traction: Master Ed serves the full spectrum of credential-based learning: higher education course assessments, college admissions interviews, professional certifications, corporate learning and development programs, and skills-based hiring verification. The platform has been validated through stakeholder interviews with 150+ educators and administrators across five countries and is currently deployed with early adopters at University of Toronto and Texas A&M. Vision: Master Ed is building the assessment layer for a world where AI is embedded in learning and work. As generative AI becomes universal, the ability to verify what someone genuinely understands becomes the foundation of every credential's value. Voice-first evaluation represents not just a response to AI cheating, but a better way to measure human capability: one that values process over output, understanding over production, and thinking over answers.