Equip

Equip is an AI-native applicant tracking system (ATS) designed to help recruiting teams spend less time on manual resume review and more time with qualified candidates. It centralizes sourcing, screening, and evaluation workflows so recruiters can manage the entire hiring process in one platform. The primary purpose of Equip is to make hiring faster, more consistent, and more objective by automating early-stage candidate assessment while preserving human decision-making where it matters most.

Equip offers built-in resume screening that automatically highlights candidates whose skills and experience best match the role criteria, reducing the need for manual filtering. Structured assessments can be configured to test role-specific competencies, enabling data-backed comparisons between candidates. AI-powered interviews simulate structured screening calls, asking consistent questions and summarizing responses for recruiters to review, helping standardize evaluation across applicants. Because Equip is built as an AI-native system rather than a legacy ATS with add-ons, its workflows, scoring, and candidate insights are designed from the ground up around automation and fairness.