Talvin AI

Most APAC hiring teams are still screening candidates the same way they did five years ago — one-way video, manual review, a spreadsheet to track it all. The process hasn't changed. The volume has. Teams across Singapore, Malaysia, Indonesia, and India are now screening 100+ candidates per role for mid-volume positions. Static video platforms were not built for this. They create review queues, not shortlists. They tell you how someone presents on camera — not whether they can actually do the job. Voice AI changes the equation. Instead of collecting recordings for recruiters to review later, an AI agent conducts a real two-way conversation: adaptive follow-ups, structured scoring, and a ranked shortlist — automatically. No recruiter hours spent on candidates who were never going to make it through. The teams making this switch aren't doing it to cut headcount. They're doing it to redirect recruiter time toward the 10–15% of candidates who actually matter. What's the biggest screening bottleneck your team is dealing with right now?

Video interview AI was built for Western markets. It shows. Multiple verified reviews of video screening platforms document the same problem: AI scoring failures for candidates whose first language isn't English. Pronunciation scoring, tone analysis, accent penalisation — all flagged as unreliable when deployed across APAC's linguistically diverse hiring markets. This isn't a minor calibration issue. It's a structural mismatch. And when it affects your shortlists, you're not screening for competence. You're screening for familiarity. Voice AI built for APAC works differently. Measured pacing. Neutral, easy-to-follow accents. Scoring based on what candidates say and how they reason — not how they sound. Janashakthi Group screened 150 candidates in 5 days. JXG produced their top 2% from 460+ applications. Both in markets where the candidate pool speaks English as a second or third language. The right tool for APAC hiring isn't a Western product with a localisation layer. It's one built for this market from the ground up. talvin.ai

Most APAC hiring teams are still running a process designed for 2015. Phone screens. Pre-recorded video questions. A hiring manager who watches 40 recordings on a Friday afternoon. Meanwhile, top talent in Singapore, Malaysia, and Sri Lanka gets hired in 3–4 days. If your screening process takes two weeks to produce a shortlist, you're not choosing between the best candidates. You're choosing from whoever is still available. Voice AI changes the math. An adaptive two-way interview — the kind that follows up, probes, and adjusts in real time — screens 50 candidates in the time it previously took to schedule 10 calls. The results from APAC teams who've made the switch are consistent: 80% reduction in screening time. Shortlists produced in days, not weeks. And because the interview is conversational and APAC-localised, candidate drop-off drops sharply — you're not losing good people to a format that penalises non-native English speakers. The question isn't whether AI screening works. The data is in. The question is: what would your team do with three weeks of screening time back every quarter? See how it works: talvin.ai

How to write a job description your AI interviewer can actually use. Most hiring teams set up AI screening and load in the same generic job description they've been using for two years. The result: generic questions, generic evaluation, generic shortlist. Here's what works better. Start with the three outcomes you need from this hire in the first 90 days. Not duties — outcomes. Then add the two or three competencies that separate people who succeed in this role from those who don't. Your AI interviewer uses this context to ask role-specific follow-ups. Tell it the role requires managing client escalations, and it will probe exactly that — not just "describe your communication style." The teams getting the strongest shortlists from AI screening are the ones who spend 30 minutes sharpening the brief before the first candidate applies. What does your current job description actually say about Day 90?

Most hiring teams in APAC are still running phone screens the same way they did in 2015. A recruiter calls. They spend 20 minutes with each candidate. They take notes. They try to remember who stood out by the end of the week. That process works at 30 applicants. It breaks at 300. AI voice interviews change the math. The platform conducts structured screens 24/7 — adaptive, consistent, and without scheduling overhead. Every candidate gets the same quality of interview regardless of when they apply or where they're based. For APAC teams specifically, this matters even more. The candidate pool spans multiple time zones, languages, and accents. A platform built for regional linguistic diversity means your screening process doesn't create accidental barriers before the right person even gets to speak with your team. The result: a structured shortlist your recruiters can actually trust — not a pile of notes from hastily scribbled phone calls. What would your team do with 10 hours of screening time back every week?

Companies using Job Tryouts for offshore hiring report 30–45% reduction in employee turnover. The reason is straightforward. A traditional interview asks candidates how they would handle a difficult customer call. A Job Tryout places them inside a realistic simulation of that call and evaluates what they actually do. For offshore customer support, sales, and operations roles — where real-world communication and judgment matter most — the distinction is significant. You stop selecting on confidence in interview settings and start selecting on actual job performance. At high volume, this compounds. When you've screened 400+ applicants with AI voice interviews and shortlisted the top candidates, the Job Tryout becomes the decisive filter. You're not guessing who will perform. You have evidence. The teams building durable offshore delivery centres in India and across APAC are combining both layers: AI voice screening at scale, Job Tryouts for the final cut. Less turnover. Faster ramp. Better output from day one.

In 2026, the benchmark for AI candidate screening in APAC isn't speed. It's what happens after the screen. Three data points from teams using adaptive voice AI at scale: 80% reduction in screening time — without reducing shortlist quality. Average time from job posting to final shortlist: under one week. 30–45% reduction in employee turnover for customer-facing roles when job simulation technology is used alongside voice screening. Candidates who perform well in realistic scenarios perform well in the role. 4.2 out of 5 candidate satisfaction score — collected after every AI interview. For hiring teams concerned about candidate experience, this is the number that matters most. Speed was the easy part. The harder problem was whether faster screening produced better hires. For the teams achieving both, the answer is in the methodology — not just the technology. What does your post-screen data tell you about shortlist quality?

India's offshore talent market is one of the most competitive hiring environments in APAC — and most recruiting teams aren't built for it. A single role posted on Naukri generates 400+ applications within 48 hours. For an offshore expansion requiring 50 hires, that's 15,000 resumes and roughly 500 recruiter hours just to screen. In a market where top candidates are typically off the market within a week, a manual process simply can't keep pace. The teams getting this right in 2026 have restructured how screening works. Instead of manual phone calls at the top of the funnel, they run AI voice interviews as the first assessment layer — processing hundreds of candidates simultaneously, 24 hours a day, with consistent evaluation criteria applied to every applicant regardless of location, accent, or time zone. The outcome isn't just efficiency. It's competitive advantage. 42% of candidates accept offers from the organisation that responds fastest. Speed in screening is speed to offer — and in India's active talent market, that directly determines which candidates you get. We built Talvin specifically for this operating environment. APAC-tuned voice AI, adaptive questioning, direct ATS integration, and per-minute pricing that stays viable at offshore hiring volumes. What does your current India screening process look like at scale?