We believe recruitment technology should eliminate bias, not amplify it. That's why we built COVERD-ATS around a hiring committee model: specialised AI agents evaluate every candidate in parallel, assessing skills, experience, career trajectory, domain expertise, communication, and cultural alignment, and deliver transparent, evidence-backed scores in seconds.

Every decision is explainable, every evaluation is auditable, and every recommendation keeps the human recruiter in control.

Our platform is built on five principles: Transparency, Fairness, Accountability, Privacy, and Consent. We don't just claim to reduce bias: we test for it, with validated low variance across name variation, education prestige, and blind mode equivalence tests.

Based at Imperial College London, we're a research-driven team combining AI expertise with recruitment insight to make hiring faster, fairer, and smarter at any scale.

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