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For professors

Vouch for the work you already watched them do.

Your students upload real work and our AI extracts the skills — the evidence stands on its own. Optionally add a two-minute endorsement to a project you supervised: a human signal on top, nothing to maintain.

Not Another Job Platform.

A university lecturer explaining work to a student at a screen

The problem

Your students do great work.

Companies never see it.

Career services run on spreadsheets.

Placement data arrives a year too late.

The value is there. What’s missing is a way to prove it, as it happens.

How professors fit

A human signal on top of verified work — never the gatekeeper

The AI extraction is the foundation. Your endorsement is an optional layer for the projects you know first-hand.

01

The evidence comes first. You're the bonus.

Companies see what a student built before they see your name. AI does the extraction; your endorsement is an optional layer on the projects you know first-hand — you confirm, you don't verify from scratch, and you're never the gatekeeper.

02

How an endorsement works

A student asks you to endorse a specific project. You get one secure link — no account to create. Read the AI-structured work, pick the competencies you saw first-hand, confirm or decline. One click, done — no dashboard, no recurring requests.

03

What it does for your students

Hiring teams want proof, not a summary. A line from the supervising academic gives a verified project context and moves the student through hiring on stronger footing. Two minutes from you — and it travels with their portfolio to every employer who opens it.

04

What we ask, and what we don't

We verify your academic affiliation once, before the portal opens — that's what makes the signal trustworthy. After that, you decide what to endorse and when. No quota, no obligation, no ongoing workload — endorse what you remember well, skip the rest.

AI analysis

Ask your class anything. Answered from verified work.

Conversational search and AI analysis across your students — readiness, skill gaps and matches derived from real projects, not self-reported CVs.

AI analysis over verified student evidence.
How it works

From real work to a profile companies trust

A student's project becomes evidence-backed skills — extracted, verifiable, and traceable to the source. The same loop the whole platform runs on.

Student dashboard
Placement office
thesis-time-series.pdf
just uploaded · 2.4 MB
Waiting for verified evidence…
Sample data
Connecting people to verified value.

Endorse a student's real work

Verify your academic affiliation once, then confirm the projects you remember well. No quota, no ongoing workload.