Fairness by default
Bias controls and audits aren't an add-on — they ship in the product and stay on unless you turn them off.
HireAI was founded in 2021 by a talent leader and a machine-learning engineer who kept running into the same wall. Every hire meant hundreds of resumes, a handful of rushed reviews, and the nagging sense that the best candidate had already been skipped.
They built the first version of HireAI to score their own pipeline. Within a quarter, time-to-hire fell by more than half and the shortlists were noticeably stronger — and more diverse. Other talent teams started asking for it.
Today HireAI screens millions of applications for more than 1,200 hiring teams across 30 countries. We've grown, but the founding rule hasn't changed: every score has to be explainable, and every candidate deserves a fair read.
We exist to help teams find the right people quickly and give every applicant a fair shot. These values keep us honest while we do it.
Bias controls and audits aren't an add-on — they ship in the product and stay on unless you turn them off.
Every score comes with reasons. If we can't explain why a candidate ranked where they did, we don't ship it.
Applicants' data is theirs. We protect it, never sell it, and never use it to train shared models.
Great candidates accept other offers fast. We obsess over shaving days off your time-to-hire.
We design alongside the people who use HireAI every day, not in a vacuum away from the hiring floor.
Better screening should widen the door, not narrow it — surfacing talent that traditional filters miss.
Recruiters, researchers, and engineers who care as much about fairness as they do about speed.
Former head of talent who spent a decade scaling teams from 20 to 2,000.
ML engineer focused on explainable models and responsible AI systems.
Builds the screening workflows recruiters actually want to use every day.
Leads fairness audits and keeps our models accountable and transparent.
HireAI is built to make recruiters sharper, not to take the decision out of their hands. The model surfaces and explains; your team always makes the call.
Every ranking comes with the evidence behind it, so reviewers can trust it or challenge it.
We continuously test scoring models for adverse impact and flag anything that drifts.
HireAI recommends a shortlist; your recruiters and hiring managers make the final decision.
See what HireAI can do for your pipeline. Book a demo and we'll screen a real batch of your applicants on the call.