About ReLoop.me. ReLoop.me is an EU-built capability intelligence platform for nonlinear careers and skills-based hiring, founded and built by Ligia Adam in Romania and operated by ZORRI S.R.L. It reads job ads and CVs for evidence, not titles, timelines or keywords, to show what a role really demands, what a career really demonstrates, and what both are worth. It sits neutral between the two sides of the hire and reads the person and the role with the same lens. Live in public beta: Role Intel (€7) reads a job description; Profile Intel (€19) reads a CV, LinkedIn profile or career notes; the Role Intel API and MCP server serve job boards, ATS and AI agents from €3 per read with a free quick check; the ESCO Skills Map agent skill is free. Reads map to ESCO, the EU classification of occupations and skills. Employers can sponsor Profile Intel reads for employees, audit job ads, and run pilots. The first platform pilot, an API integration with a niche job board, has been live since 25 Oct 2026. In development: Role × Profile, a read of one profile against one role. Longer term: a two-sided Capability Index, searchable by capability rather than keyword. Under the EU AI Act (Regulation 2024/1689), ReLoop.me is designed to sit outside Annex III: Profile Intel is candidate-led with no employer channel and Role Intel reads job descriptions rather than people, so nothing ranks, filters or scores candidates for an employer. Every read is AI-generated, labelled as such, built on a fixed human-designed framework with pay from rules and automated quality checks before delivery, on a framework people calibrate. Team: Ligia Adam (founder), Anca Sandu (product analyst, part-time, ESCO and EQF mapping) and a technical advisor.
Hiring has changed.
How careers work hasn't.
ReLoop.me reads job ads and CVs for evidence, not titles or keywords, so people can apply, hire and negotiate on a read both sides can trust.
Built in the EUPublic betaNo account
Where it stands · October 2026
- Role IntelReads a job adLive
- Profile IntelReads a CVLive
- API & MCPFor platforms and AI agentsLive
- ESCO Skills MapFree agent skillLive
- B2B pilotsFirst platform pilot (API)Live since 25 Oct
- Role × ProfileOne profile against one roleIn development
- Capability IndexSearch by capability, not keywordBuilding toward
Some careers don't need fixing.
They need better interpretation.
Coming back after nearly four years out, between two kids, COVID and the rise of AI, I felt still capable, just out of sync. I was trying to loop back in with clarity: to reloop.
I knew what I was good at, so I applied to lots of jobs. It mostly didn't land. The problem wasn't capability; it was interpretation. CVs are built for straight lines, and mine wasn't one. ATS and AI systems flagged my profile before a person ever read it.
So I built ReLoop.me: first to read my own career and the jobs I wanted, then to share that clarity with others. What began as one misread profile is now a calibrated system, live in public beta.
— Ligia
Founder-market fit: my own profile was the first use case. The problem turned out to be structural, not personal.
15+ years in B2B tech marketing across cybersecurity, civic tech, digital and edtech. Forbes 30 Under 30, Romania. Designs and builds the engine.
PhD, large-scale platforms. Leads ESCO and education (EQF) mapping.
20+ years in enterprise systems. Advises on architecture and scale.
Careers that don't fit the template,
and the people hiring them.
The professional side · how the market misreads them
- The sector crosser reads inconsistent; the pattern is transferable.
- The re-entrant reads as a gap; the capability didn't disappear.
- The portfolio operator reads scattered; the depth is real.
- The senior IC reads as flat; steady, not stalled.
The hiring side · what they're trying to do
- Founders writing a first role, with no map.
- Hiring managers checking scope and seniority before posting.
- Recruiters reading what a job ad truly demands.
- People teams levelling pay under EU transparency rules.
Built to understand the zig-zag and offer a straight read.
Neutrality isn't a feature. It's the architecture.
Most hiring tools are paid by one side and tilt toward it. ReLoop.me reads the person and the role through the same calibrated, evidence-first lens.
Generic AI can sit in the middle too, but it tilts toward whoever is prompting it.
Building toward a trust layer for skills-based hiring: a Profile read and a Role read, in one capability language both sides can rely on.
By design, not by address.
- EU AI Act 2024/1689Designed to sit outside Annex III: nothing ranks, filters or scores candidates for an employer. Every read is labelled AI-generated.
- Pay Transparency 2023/970Every read carries a net-aware pay signal and flags when a role hides its range.
- Work-Life Balance 2019/1158Long parental and medical leaves are normal here. A break is a blurred signal, not lost capability.
- Cross-border mobilityReads the capability pattern across sectors, countries and engagements, not the title or timeline.
- GDPR-level trustOne-time reads, explicit consent, no account, and one neutral party reading both sides.
- ESCO, the EU skills standardRoles map to ESCO, the EU classification of occupations and skills, with codes checked by a person. The ESCO Skills Map agent skill is free.
English-first for now, with the architecture ready for European-language reads.
Make real capability legible on both sides of hiring.
Vision: a market where people and jobs are found by real capability, not titles, keywords or a perfect timeline.
- Nonlinearity is OKA break or pivot is a blurred signal, not a loss of capability.
- Honest signal over inflationIt names what the evidence supports, and says when the signal is thin.
- No career path is betterNo pattern is safer or more senior than another. Only evidence differentiates.
- Capability over polishConcrete evidence outweighs a confident claim without it.
- One lens, both sidesA role and a person are read with the same structural honesty.
Simple on the surface. Structured underneath.
Every read turns messy evidence into one consistent data format: capability signals, career patterns, role demand and pay anchors. Same database, two views: reports today, the Capability Index next.
Role Intel and Profile Intel, the API and MCP server, the ESCO skill.
A read of one profile against one role, candidate-led.
Two-sided and opt-in, searchable by capability, not keyword.
Under the hood: an orchestrated pipeline on a versioned AI system built on Claude and current models, pay from fixed rules, automated quality checks and a review before delivery.