Solutions

Onboard thousands of gig partners a month with a small ops team

India's gig workforce grew from 7.7 million to 12 million in four years. Screening has to scale at the same pace — without scaling headcount at the same rate.

Shynsa gives gig and platform companies a self-serve AI voice screening step that runs at any volume — candidates apply and interview on their own phone, in their own language, any time — so onboarding throughput isn't capped by how many people your ops team can personally screen.

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The problem

12 million gig workers in FY25, up from 7.7 million in FY21

India's Economic Survey 2025-26 puts the gig workforce at roughly 12 million, up 55% in four years, with NITI Aayog projecting nearly 23.5 million by 2029-30. The retention side is brutal: monthly attrition of 30–40% is common across delivery and ride-hailing platforms, and some platforms turn over their entire active base within three to four months. That means onboarding isn't a one-time hiring push — it's a continuous pipeline that has to run at platform speed, every week, indefinitely.

The mechanism

Screening that matches platform-scale onboarding

1

Self-serve application, no ops bottleneck

Prospective partners apply and interview through a link — no call scheduling, no ops team capacity ceiling on how many people can be screened per day.

2

First-72-hours activation matters — so does speed to interview

New workers are most likely to go inactive in their first three days. A screening step that takes minutes instead of days keeps early momentum instead of losing candidates to a slow process.

3

Consistent baseline screen across geographies

Whether a partner is applying from a metro or a Tier 2 city, the same voice interview and scoring rubric applies — no dependency on a local ops person's availability.

4

Regional language interviews

Screen in Hindi or a regional language so communication and reliability signals are assessed accurately, not filtered through English proficiency.

Built for this

Features that matter here

Handles high concurrent volume

Screen hundreds of applicants in parallel — onboarding throughput isn't limited by call-centre capacity.

Fast time-to-decision

Scored reports are ready within minutes of interview completion, not days after a batch review.

Voice-first, camera optional

Match how gig workers actually apply — on a phone, often between other work, without a formal video-call setup.

Multilingual by default

Cover a geographically distributed applicant base without hiring region-specific screening staff.

FAQ

Common questions

Ready to see it on your own hiring pipeline?

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