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. 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, 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 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.
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
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 |