Gupshup Launches Voice AI Platform for Customer Engagement
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Gupshup Launches Voice AI Platform for Customer Engagement

No-code console brings AI voice agents to support, sales, and operations alongside messaging

9/6/2026
Ghita Khalfaoui
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On September 3, 2026, Gupshup launched its Voice AI Platform, a self-serve console that enables businesses to build, test, and deploy AI voice agents for support, sales, and operations. The release extends Gupshup's engagement platform from messaging into voice, placing voice on the same infrastructure used for WhatsApp, RCS, and SMS. The platform is designed to resolve customer calls, qualify and convert leads, and automate operational conversations while allowing human teams to focus on more complex needs.


A Unified Channel Strategy

The Voice AI Platform is positioned as an extension of Gupshup's broader messaging ecosystem rather than a standalone voice product. Businesses can now orchestrate customer journeys that combine voice with WhatsApp, RCS, and SMS interactions. This unified approach allows support, sales, and operations teams to manage engagement from a single platform without switching between separate tools.

Automating Support, Sales, and Operations

The platform handles a range of call types that typically burden human teams. It resolves support queries, qualifies and converts sales leads, and automates operational tasks such as scheduling, verification, and payment reminders. By shifting routine calls to AI agents, businesses can reserve human attention for conversations that require judgment and empathy.

Agent Lifecycle and Testing

Gupshup's console covers the full agent lifecycle through a no-code, prompt-based interface. Businesses can configure an agent's voice, language, knowledge base, system prompt, and workflows, then connect the agent to tools their teams already use. Before deployment, teams can define guardrails, run simulations, and validate behavior through tests that compare different models.

Flexible Models and Deployment Options

One of the platform's distinguishing features is its model flexibility. Businesses can choose their preferred speech-to-text, text-to-speech, and large language model providers instead of accepting a fixed technology stack. The platform supports public switched telephone network and WhatsApp voice channels, on-premise and cloud deployment, and the option to bring existing PSTN infrastructure.

Analytics and Operational Oversight

After deployment, the platform provides detailed analytics that track success rates, satisfaction scores, and language usage across calls. Teams can review transcripts, conversation history, and debug logs to identify issues and refine agent behavior over time. These monitoring tools help businesses maintain quality standards and continuously improve the performance of their voice agents.

Scale, Pricing, and Availability

The launch builds on Gupshup's experience supporting more than 50,000 businesses across over 100 countries and 25 industries. The company processes 10 billion interactions each month, including 500 million voice calls, which gives the new platform a significant scale advantage. Users receive 100 minutes of testing credits, pricing starts at USD 0.035 or INR 3.50 per minute, and the platform is available at voiceai.gupshup.io.

Executive View and Early Outcomes

During beta testing, the Voice AI Platform delivered measurable outcomes across multiple deployments, according to Gupshup. Gupshup Co-founder and CEO Beerud Sheth said voice drives universal access in emerging markets by reaching users regardless of language or literacy. He added that in developed markets it drives efficiency and automation, while both benefit from cost savings, revenue growth, and satisfaction.


With this launch, Gupshup now offers a unified self-serve platform for customer engagement across voice and messaging. The platform addresses growing demand for automation in support, sales, and operational calls while giving businesses control over models, telephony, and deployment. Organizations can evaluate and deploy AI voice agents alongside their existing messaging workflows, which may reduce costs and improve the overall customer experience.