Hiring features that remove bottlenecks

When a role opens, you can define hard requirements, preferred skills, and contextual signals such as domain experience or shift availability. Reerac uses that context as a scoring baseline across all applicants.

Instead of ranking by keyword count, the platform evaluates candidate relevance with weighted factors so recruiters spend time on strong fits first.

Use AI Assisted Interview when a recruiter wants AI support in the room, Full AI Interview when the AI should run the session end-to-end, or Recruiter Interview for a fully human-led live call.

Interview templates and adaptive follow-up prompts help teams standardize evaluation criteria while preserving a conversational experience for candidates.

Every completed interview includes score bands, transcripts, and competency notes so hiring managers can review evidence, not just a single number.

Recruiters can add private notes, apply overrides with audit visibility, and align final recommendations with business priorities.

The product is designed for practical realities such as unstable power windows and variable internet quality.

Recruiters and candidates can continue workflows with reduced friction through resilient session handling and lower-bandwidth friendly interactions.