AI-Enhanced Recognition of Prior Learning (RPL) for RTOs and Universities.
Red Velvet AI provides an AI-powered platform that supports Recognition of Prior Learning and skills assessment for RTOs, universities, and admissions teams. Our technology analyses resumes, transcripts, third-party evidence, work samples, and course documentation to assist assessors in mapping evidence against competency frameworks and assessment criteria.
Red Velvet AI’s assessment technology was developed in collaboration with Deakin Applied Artificial Intelligence Initiative. Learn more HERE.
Trusted by innovative RTOs:
Recognition of Prior Learning (RPL) allows education providers to assess a learner’s prior work experience, qualifications, and informal learning against formal course requirements. However, RPL assessment is often manual, inconsistent, and difficult to scale across large student cohorts.
Developed in collaboration with Deakin Applied Artificial Intelligence Initiative, Red Velvet AI is designed to support transparent, auditable, and human-in-the-loop decision-making. Institutions remain in control while using AI to reduce administrative workload, improve consistency, and scale assessment processes with confidence.
Our platform supports RPL assessment, skills pre-assessment, transcript processing, and credit mapping across higher education and vocational education contexts.
Behind the Scene.
A high-level view of how our platform turns documents into policy-aligned decisions.
