A verified trust layer for student-to-work.
Across disciplines — tech, engineering, business, science, design — matching people to roles is hard when skills are self-reported. We're building a layer where academic partners can verify student work, companies see clearer signals, and students carry portable proof across the EU. Starting in Italy.
Not Another Job Platform.
Not Another Job Platform — the transparent path to job & work, with verified evidence on one side and real opportunities on the other.
People are worth more than the way they're currently described.
A CV is a translation of work that already happened — usually translated badly. A LinkedIn profile is a self-description optimized for search. Neither tells you whether someone can actually do the job. Both let bias travel further than it should.
We built InTransparency to put the work back in front of the decision. Skills extracted from real artifacts. Optional verification from the academic partner that knows. Outcomes tracked back to the signal that predicted them.
What we won't do
- We won't pretend a logo strip is a customer base. If it's a conversation, we'll say it's a conversation.
- We won't gate hiring on prestige. The whole point of measuring skills is that the school stops being the headline.
- We won't sell fear. No "talent shortage" landing pages, no cost-of-bad-hire countdowns to push a subscription.
- We won't replace your ATS, your HRIS, or the interviewer's judgment. We feed the systems that already work, and we hand off where someone else does the job better.
Why "InTransparency"
The opposite of opaque hiring isn't more rules. It's more visible work. The name is a promise: what's measured is shown — and what isn't shown isn't measured. We built the company on that distinction.
How hiring decisions are made today — and how we change it
- Self-reported skills with no evidence attached
- Projects summarised in a line instead of shown
- Favours how people write about themselves
- Hard to compare candidates across institutions
- A CV can't show whether the skills are real — you only find out after you hire
- Evidence-Backed · Optional Professor Bonus projects in any format
- Hard and soft skills surfaced from evidence
- A profile that complements — doesn't replace — the CV
- Work you can actually look at, not just claims
- Matches you can explain, with human review available
Same flow, both sides
A student uploads real work. Our AI extracts the skills with the source attached. A recruiter opens a Decision Pack that shows the evidence behind every claim. One loop, two surfaces.
The people behind InTransparency
Fabio Chefane
CEO & Co-founder
Leads product and the conversations with universities, ITS academies and companies — turning verified student work into hiring decisions.
Marco Cavagnoli
CFO & Co-founder
Runs finance and the pricing model — keeping it sustainable and fair for students, schools and companies alike.
Simona Sardo
Student Engagement Coordinator
Owns student engagement — making sure students get real value, from their first project to their first stage.
Hana Salom
Social Media Support
Tells the InTransparency story and gives students a voice across social — real skills, real stories.
Product definition
Wording aligned with the description required for the Italian innovative-startup registry (Camera di Commercio).
InTransparency is a B2B2C digital Academic Talent Intelligence platform for matching students and graduates from universities, ITS academies and secondary schools with Italian and international companies, available both as a standalone web application and as a plugin integrable into academic and school portals. This product is innovative in that it allows the traditional curriculum vitae to be replaced with verified portfolios of real academic projects — theses, papers, deliverables and presentations — letting companies evaluate demonstrated rather than merely declared competencies, reducing the number of interviews required and the cost of the selection process, and introducing salary-transparency mechanisms in job postings in Italy and abroad. Furthermore, this software is highly technological in that it uses Natural Language Processing and Computer Vision algorithms for the automatic analysis of academic projects, an artificial-intelligence engine for candidate-to-position matching with explainable-scoring systems, an audit-log system compliant with the traceability and oversight principles of the European AI Act, and an API-first architecture integrable with the leading university, school and corporate information systems.
Get involved
We're still early. If this resonates, your feedback has outsized influence on what we build next.
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