A CV tells you what someone claims. The work tells you what they can do.
The CV isn’t wrong — it’s just a self-reported summary. Real projects plus AI-extracted skills make hiring more predictive, fairer and more compliant. That’s where we start.
We connect people and values.
The limits of the CV
Not a failing of the person writing it — a limit of the tool itself.
Self-reported
A CV is a claim. Nothing in it is checked against the actual work.
Low signal
One page of bullet points can’t show how someone thinks or builds.
A compliance risk
Salary history and protected-data inference are exactly what new rules push out.
From real work to proof
Real projects
Students upload the actual work — theses, code, design, reports.
AI extracts the skills
Our AI reads each artifact and pulls out the skills, with the source attached.
Optional endorsement
A professor who supervised it can add a short confirmation. Optional, a bonus on top.
Want the technical detail? How skill extraction works →
More predictive, fairer, documented
More predictive
What someone built predicts performance better than what they listed.
Fairer
Selecting on demonstrated skills reduces reliance on pedigree and protected attributes.
Documented
Every skill traces back to an artifact — defensible and transparent.
It’s also where new rules are pushing. Pay transparency and skills-first hiring →
One idea, three wins
Students
Your projects are your proof — no more CV anxiety.
Recruiters
Trust what you can see, not what’s claimed.
Academic partners
Your students’ real work becomes verified evidence.
Look at the work, not just the CV
Open a Decision Pack and see skills extracted from real projects, with the source behind every claim.