Research
We publish our methodology, accuracy benchmarks, and bias audits openly. AI that affects people's careers deserves scrutiny — and we invite it.
Bias & Fairness
We measure and eliminate demographic bias across gender, age, name origin, and language. Quarterly audit results are published here.
Accuracy
We benchmark our scoring models against senior HR professionals to quantify and document real-world agreement rates.
Methodology
Full transparency on how our models work — from CV parsing to interview question generation and candidate scoring.
Industry
Applied research on hiring trends, time-to-hire patterns, and AI adoption across industries and company sizes.
What the data shows.
Two of our most-cited findings — independently validated and regularly updated with each model release.
Accuracy · Feb 2026
Human–AI Score Agreement
Recruit v2 scores compared against 42 senior HR professionals across 500 candidates in 12 industries. Pearson correlation: r = 0.91.
Bias & Fairness · Mar 2026
Bias Reduction After Audit
Following our Q1 2026 bias audit, all four measured dimensions improved significantly. Orange = post-audit; faded = pre-audit baseline.
Publications
Questions about our
methodology?
We're open to academic collaboration, external audits, and dataset sharing requests.
Open to collaboration