Comparison
Verloop.io, compared for Indian businesses.
Verloop.io grew up as conversational AI for support chat: website, WhatsApp and in-app, with voice arriving later. Oye Hello grew up on the phone line. Where each started still shapes what each is best at, and that is the honest way to compare them.
Who Verloop.io is built for
Verloop.io is an established Indian conversational AI company centred on customer support automation over chat: website widgets, WhatsApp and in-app messaging, with agent handover, support analytics and enterprise deployments across banking, ecommerce and travel. It sells through a demo-led process. For chat-first support automation at enterprise scale, it is one of the recognised Indian names.
When Verloop.io is the better choice
- Your support volume lives in chat and WhatsApp, and voice is secondary; their platform is built around exactly that.
- You are an enterprise support organisation that wants deflection analytics, agent assist and handover tooling around a human team.
- You want a vendor with long references in chat automation for banking, ecommerce and travel.
When Oye Hello is the better choice
- Your customers call. Voice is the product here, not the extension: turn-taking, barge-in, Indian accents and phone-line audio are what the platform is tuned for.
- You want published rupee pricing and a self-serve start rather than a sales cycle.
- You want one agent that answers the phone and the website chat from the same business profile, editable in one console.
Verloop.io vs Oye Hello, side by side
| Verloop.io | Oye Hello | |
|---|---|---|
| Centre of gravity | Chat-first support automation: website, WhatsApp, in-app, with voice as a later addition. | Voice-first: the phone line is the product, with browser and chat alongside. |
| Published pricing | Sales-led; no public rate card.No Verloop figure is quoted because none is published. | Public: Rs 4.5/min on Sarvam voices, Rs 2.5/min on in-house voices, plus 18% GST. |
| Voice engineering | Voice capabilities within a chat-born platform. | Purpose-built call pipeline: dedicated turn-detection, channel-aware noise cancellation for telephony audio, and fallbacks at every stage of the call. |
| Languages on a call | Multilingual across its channels. | Eight-plus Indian languages on speech models tuned for Indian accents, following the caller mid-sentence, with Devanagari-native Hindi. |
| Evaluation | Book a demo with their team. | Nine live demo agents from the browser, no account. |
Verloop.io figures above were read from www.verloop.io/ on 2026-08-23. Vendors change their pricing; check theirs and ours before deciding. Oye Hello’s current rates are on the pricing page.
Questions people ask
Is Verloop.io good for voice AI?
It is strongest where it started: chat and WhatsApp support automation at enterprise scale, where it has years of references. Voice is a newer addition to that platform. Whether it serves you depends on your mix: an operation that is eighty percent chat should weigh Verloop seriously, and an operation whose customers pick up the phone should test voice quality on a real call line before deciding anything from a features page.
How does pricing compare?
Verloop does not publish pricing; engagements are scoped through their sales process. Oye Hello's rates are public and usage-based: Rs 4.5 per minute on Sarvam voices, Rs 2.5 on in-house voices, before GST. If you are evaluating both, get a written Verloop quote for your channels and volumes and compare total cost for the mix you actually have.
Can Oye Hello handle chat as well as calls?
Yes. The same agent that answers the phone answers chat, working from the same business profile, so the answer a customer gets is consistent whichever way they arrive. Chat sessions are not billed as talk minutes.
Hear it before you decide
The fastest way to judge any of these platforms is to talk to one. Oye Hello has nine live agents you can call from your browser with no account and no form, each answering for a different kind of business. Talk to one now, or read how the AI receptionist works.