Project MonetRequest demo
Home/Blog/Gupshup Voice AI: Pricing, Features & How It Works

AI · Project Monet Briefing

Gupshup Voice AI Platform: Pricing, Features and How It Works

A practical guide to Gupshup's self-serve Voice AI Platform, including channels, model flexibility, testing, observability and the confirmed launch pricing.

Published 2026-09-04 · Updated 2026-09-05 · By Project Monet

Gupshup Voice AI connecting phone and WhatsApp calls to configurable AI models and business workflows

01

What is Gupshup Voice AI?

Gupshup announced its self-serve Voice AI Platform on September 3, 2026. It lets businesses build, test, deploy and monitor AI voice agents for support, sales and operational calls.

The launch extends Gupshup's conversational engagement stack from messaging into voice, with phone and WhatsApp voice workflows managed from the same broader platform.

02

How the platform works

Teams configure an agent's voice, language, knowledge base, system prompt and workflows, then connect it to business tools. Gupshup says customers can choose speech-to-text, text-to-speech and LLM providers instead of accepting a fixed model stack.

Confirmed channels include PSTN phone calls, SIP trunks, WhatsApp voice and web calling. Gupshup also advertises cloud and on-premise telephony plus bring-your-own PSTN infrastructure.

03

Testing, guardrails and observability

Before deployment, teams can define guardrails, run scenario simulations, use automated tests and compare models. Gupshup also documents recurring tests to catch behavior changes as prompts or knowledge bases evolve.

After calls go live, the platform exposes transcripts, conversation history, debug logs, success metrics, satisfaction signals and language usage for review.

04

Gupshup Voice AI pricing

Gupshup's September 3 launch announcement says users receive 100 minutes of test credits and pricing starts at $0.035 per minute, also stated as ₹3.50 per minute.

05

Who should consider it and what to verify

The platform is most relevant for repeatable call workflows with measurable outcomes such as lead qualification, appointment scheduling, support, collections and reminders.

Before production use, verify country and number availability, provider-level charges, self-serve versus enterprise entitlements, API access, data retention, compliance needs and escalation behavior for the exact deployment.

Sources

Primary and supporting sources

Facts were rechecked against the linked sources immediately before publication. Pricing, product availability and rollout status can change.

Project Monet

Useful signals. Clear decisions. Better digital work.

Project Monet turns relevant shifts in AI, creator tools and the web into practical context—and builds focused websites for businesses ready to grow.

Request a free homepage concept