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About the founder

Brian Gillingham

CIPD Level 7 qualified HR professional. A decade in workforce compliance, training, and applied research. Mermoid is what happens when an HR practitioner—not an engineer playing recruiter—builds the AI scoring tool the sector actually needs.

Why I built this

Every AI hiring tool I evaluated as a CIPD-qualified practitioner had the same problem: it produced a score, but it could not defend the score. No citations. No audit trail. No way to explain to a candidate, a tribunal, or the ICO why the model said what it said.

Under the UK Data (Use and Access) Act 2025 and the ICO's April 2026 ADM guidance, “decision support” that recruiters rubber-stamp is automated decision-making in disguise. Under the EU AI Act, employment-context AI is high-risk by definition. The current generation of LLM-only scorers is not defensible under either.

Mermoid is the deterministic alternative: every score has a citation back to a CV field and a JD field. The math is reproducible. The provenance is durable. It's how an HR practitioner would build an AI tool, because that's what I am.

Postgraduate
PGCert HRM (CIPD Level 7)
Postgraduate
PGDip Social Research Methods
Undergraduate
BA (Hons) Criminology, 2:1
Institution
University of Lincoln

Track record

The methodology bet

My research background (PGDip Social Research Methods) is the uncomfortable truth behind Mermoid's design. AI scoring is research: a hypothesis (this candidate fits this role) tested against operationalised criteria. If you can't reproduce the score, you don't have a finding—you have a guess.

“The reason most hiring AI fails compliance audits is that the people who built it have never had to defend a finding to a peer reviewer. I have. That's the whole edge.”

Published research includes a journal article on Lincolnshire County Council's Troubled Families Programme (developed with the council's Early Help Teams; held on Academia.edu and ResearchGate) and a payday-loan study that contributed to a University of Lincoln policy change.

Regulatory context. EU AI Act · UK ICO ADM guidance (April 2026) · NYC Local Law 144 · Colorado AI Act (effective Feb 2026). Mermoid's deterministic, citation-backed scoring is built to be defensible under all four.
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