Corrovia
The evidence layer for professional identity.
Hiring still runs on claims that are hard to verify: where someone worked, what they did, how senior they were. Corrovia turns those claims into evidence an employer can inspect.
- Role
- Founder, solo build
- Status
- MVP built and tested. Never publicly launched.
Why it exists
Employers spend hours checking fragments of a candidate’s history, or take it on trust. Generative AI has made professional credibility cheaper to fabricate, while privacy, AI governance and explainability requirements keep getting stricter. Corrovia addresses both.
What it does
- An employer enters the candidate’s claimed employment history. Corrovia identifies which claims need verifying and contacts the relevant professional references.
- Respondents are verified, then give structured, corroborating evidence instead of free-form feedback.
- The report shows, claim by claim, what could and could not be independently corroborated: identity, employment, dates, professional relationships, and any conflicting details such as a different job title.
- No opaque score and no automated hiring decision. Every result links back to the evidence behind it, and people stay in control.
How it’s built
- Compliance by design: GDPR and EU AI Act readiness built into the architecture, not added afterwards.
- Evidence provenance, data minimisation, configurable retention, access and deletion workflows, audit trails, role-based access, encryption and human oversight.
- Each check records verified links between people, companies, roles, employment periods and colleagues. Over time these form the Corrovia Graph, so future claims do not start from zero.