For companies
Stop hiring from CVs
written by students who know how to write CVs.
Real grades cross-referenced against official transcripts. Degree trajectory, subject depth, and study behaviour - signals a CV can't fake.
Request access →What verified means
The mark was checked
against the official document.
When a student uploads their official transcript, the engine reads every mark and compares it against what they entered in the app. Matching marks carry a verified badge. Non-matching marks don't. No human in the loop - document-backed or not, it's clearly marked either way.
COMS2010 - Test 1
Entered: 74% · Document: 74%
ECON1001 - Assignment 2
Entered: 81% · No document uploaded
How matching works
Every student scored across
three dimensions - not one.
When you post a role, the engine scores every student in the talent pool against your requirements across three dimensions at once. The result is a ranked list of students who actually qualify - with the score breakdown visible.
Their degree
Exact match +80 · Close match +45 · Wrong degree −25
BCom Accounting Science and BCom Accounting are scored differently because they are different - one is the CA(SA) track, the other is industry finance. The engine knows this from the degree itself, not from what the student wrote on a form.
Their professional track
Track match +60 · Wrong track −15
RUNG maps every SA degree to its professional body - SAICA, ECSA, HPCSA, CIMA, CFA, Law Society. A student on the ECSA engineering track appears in your ECSA-aligned role. Everyone else doesn't.
What they actually know
Strong confidence → +35 · Good → +25 · Partial → +12
The engine scores every concept from 0 to 1 based on how well the student understands it. High-confidence matches surface students who genuinely know the subject - not just students whose curriculum includes it.
What you see
Degree & year of study
Always visible
Professional track
CA(SA) / Engineering / Health / Industry Finance - from degree alone
RUNG Score
Knowledge depth + study momentum + engagement - one composite signal
Academic trajectory
Improving / stable / declining across the semester
Predicted grade range
A range with confidence, not a single number guess
Verified module scores
Cross-referenced against official transcript - clearly marked
Subject depth
How well they actually understand each subject area, not just whether they passed
Study behaviour pattern
Consistent / cramming / recovering / high achiever
Verification badge
Document-backed or self-reported - you always know which is which
What you never see
Student profiles are anonymised by default. No identifying information is shared until the student explicitly applies to your role. The talent pool is a signal layer - identity comes only with consent.
Full name
Student number
Email address
Home address
Any identifying detail - until the student applies
Who uses it
Graduate recruiter
Filter by degree, professional track, minimum verified average, and document-backed only. See 40 candidates who actually qualify - not 400 who submitted a PDF and said the right things.
Internship programme lead
Find third-year students in a specific faculty whose trajectory is improving. Post the role inside RUNG - students who match across all three dimensions see it in their feed with a clear explanation of why they qualify.
Research lab hiring
Find students with strong understanding in specific subject areas. The engine scores conceptual depth - so you're finding students who genuinely understand the material, not just students who passed the paper.
The talent pool is building.
Early access is by request.
We're onboarding a small number of company partners during early access to make sure quality holds on both sides. If you're hiring graduates or interns in SA, we want to talk.
Request company access →