A Secure AI Platform for Recognition of Prior Learning.
Human-AI Augmentation for High Education
A platform for higher education that augments university operations and automates complex administrative workflows. We combine advanced reasoning LLMs with domain-specific models, developed by our expert team of higher education experts, engineers, and research scientists.
Streamlining Recognition of Prior Learning (RPL).
Evaluating prior learning is often time-consuming, inconsistent, and difficult to audit.
Red Velvet AI automates this process by analysing domestic and international academic records, work experience, and institutional policy requirements — reducing turnaround time while maintaining academic integrity.
Behind the Scene.
A high-level view of how our platform turns documents into policy-aligned decisions.
What Is Recognition of Prior Learning (RPL)?
Recognition of Prior Learning (RPL), as known as Credit for Prior Learning (CPL), is a formal assessment process that evaluates a student’s prior study, work experience, or informal learning to determine eligibility for academic credit.
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In Australia, it must align with the Australian Qualifications Framework (AQF) and meet compliance standards set by TEQSA or ASQA. For institutions, RPL involves interpreting complex rules, verifying evidence, and ensuring fair, defensible credit decisions across diverse cohorts.