Recruiters Solution

Recruiters

Recruiting agencies succeed on credibility, speed, and placement quality. A low interview hit rate not only wastes client time—it directly impacts your brand reputation and client trust. Our AI-powered interview platform helps you consistently submit interview-ready candidates, every time.

By conducting structured, role-specific AI interviews before submitting profiles, you ensure that only qualified and well-evaluated candidates reach your clients.

Improve Hit Rate

Improve Hit Rate. Protect Your Reputation

  • Pre-validate candidates with AI-led technical and behavioral interviews
  • Submit only candidates who meet role expectations and difficulty benchmarks
  • Eliminate guesswork and resume-only screening
  • Deliver objective assessment reports with every profile
Reduce Rejections

Reduce Rejections, Rework, and Client Friction

Low-quality submissions lead to repeated rejections, rework, and strained client relationships. Our platform enables recruiters to:

  • Increase client interview shortlisting rates by 2–3×
  • Reduce client rejections by 50%+
  • Shorten closure cycles with better-qualified candidates
  • Stand out as a quality-first recruitment partner
Scale and Quality

Scale Without Compromising Quality

Handle higher volumes without diluting standards:

  • Run AI interviews at scale across skills, roles, and experience levels
  • Customize interviews by language, difficulty, and question depth
  • Maintain consistent screening quality across recruiters and locations
  • Grow faster while preserving the reputation you’ve built.
Traditional Screening

Hit Rate: Traditional Candidate Screening

Candidates submitted based primarily on resumes and brief calls

  • Limited validation of actual technical depth and problem-solving ability
  • Low interview hit rate (10–25%)
  • Frequent client rejections and re-interview requests
AI-Validated Screening

Hit Rate: After AI-Validated Candidate Screening

Candidates screened through role-specific AI interviews

  • Objective evaluation across skills, communication, and reasoning
  • Higher interview hit rate (40–70%)
  • Fewer rejections and faster shortlisting by clients
  • Each profile backed by detailed assessment reports

Recruiter Performance: Before vs After Using AI Interview Screening

Hiring Model Metric Before (Traditional) After (AI Screening) Improvement
IT Staffing Candidates per role 12–15 5–6 ~60% reduction
Client shortlisting rate 15–20% 45–60% 3× higher
Interview-to-offer ratio 1:12 1:4 3× improvement
Average closure time 35–45 days 18–25 days 40–50% faster
BFSI Hiring Client shortlisting rate 10–15% 35–50% 2.5–3× higher
First-round drop-offs 35–40% <15% >50% reduction
Rework & resubmissions High Low Significant reduction
Campus / Graduate Candidates screened 1,000+ AI-parallel screening
Interview hit rate 5–10% 25–35% 3–5× higher
Interview cycle duration Weeks 3–5 days 70–80% faster
Interviewer effort Very high Minimal 70–80% reduction