Screen 1,000 resumes. Reach 500 candidates. Schedule 50 interviews. Before lunch.
Capabilities
Your AI recruiting team screens every resume, personalizes every outreach, and schedules every interview — while your recruiters focus on closing offers.
Upload a job description and a stack of resumes. Agents parse, score, and rank every candidate against your requirements — skills match, experience depth, culture signals. 200 resumes in 90 seconds.
Agents craft personalized outreach to passive candidates on LinkedIn, email, and InMail. Each message references their specific experience, recent projects, and role fit. Not templates — real personalization at scale.
Once a candidate responds, agents handle the back-and-forth of scheduling — timezone detection, interviewer availability, calendar holds, and confirmation emails. No more 6-email scheduling chains.
Agents track every candidate across your pipeline — from sourced to screened to interviewed to offered. Weekly pipeline reports, stale-candidate alerts, and drop-off analysis delivered automatically.
How It Works
"Screen these 200 applications for the Senior Engineer role"
200 resumes screened in 2 minutes. Top 23 candidates ready for recruiter review.
"Write outreach to 50 passive candidates on LinkedIn"
50 hyper-personalized outreach messages. Average response rate: 3x higher than templates.
"Schedule interviews for all candidates who scored above 80"
23 interviews scheduled across 5 interviewers. Zero scheduling conflicts.
Under The Hood
Vector memory — semantic matching across resumes, roles, and candidate history
Tenant-scoped relational store — per-client pipeline isolation
Every output checked for bias, PII handling, and quality standards
Air-gapped mode — candidate data never leaves your infrastructure
Every application screened. Every strong candidate contacted. Every interview booked. Your recruiting pipeline runs itself while you focus on closing offers.
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