AROS

AROS is an evidence-based hiring platform that helps recruiters and hiring managers make confident decisions using documented reasoning. Instead of relying on gut feelings or numeric scores, AROS collects and organizes evidence from each candidate's resume and the job description. The AI proposes findings — like career transitions, skill mismatches, or strong fits — but every decision stays with the human team. The goal is to give every candidate a respectful, transparent experience while helping teams move faster.

Here's how AROS works: you paste a job description or a short brief, then upload resumes or a folder of PDFs. The AI parses skills, history, and patterns, surfacing context you might miss. Recruiters validate every finding — nothing advances on the AI's word alone. When there's disagreement, the hiring manager sees the full timeline and decides. Every step is auditable, and every hire or no-hire ends with a Decision Packet that documents the reasoning. Features include Candidate Intelligence (traced skills and interview questions), Category Pipeline (four clear buckets), Interview Intelligence (drafted questions from resumes), and Outcome Intelligence (patterns from past decisions).

AROS is designed for recruiting teams who want to reduce bias, improve alignment, and give candidates clear communication. It's especially useful for organizations that hire at scale and need to handle high resume volumes while maintaining quality. Use cases include screening applicants, preparing hiring managers with shared evidence, and sending warm, human-reviewed closure messages. The platform is currently in private preview, with a canary rollout of the Decision Workspace. Pricing starts at $149 per month for 3 active jobs and 400 applicant analyses.