Melento and Gnani AI Partnered for Voice AI

The companies have joined forces to integrate voice-enabled agentic AI into large-scale enterprise workflows.

Updated on Oct. 3, 2026 in Artificial Intelligence

Isometric editorial illustration of interconnected geometric cubes and sound-wave prisms, representing automated enterprise voice-AI workflows.
Melento and Gnani AI have partnered to integrate voice-enabled agentic AI into large-scale enterprise workflows for automated business operations. AI Illustration. Upload story photo >

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Melento and Gnani AI have announced a collaboration to develop new voice-enabled enterprise AI agents. This partnership combines Gnani AI voice processing with Melento orchestration for automated workflows.

Why it matters

The collaboration aims to bridge the gap between AI intelligence and direct enterprise action. It is designed to automate voice-led workflows specifically within complex, multilingual, and highly regulated business environments.

Gnani AI currently supports over 200 enterprise clients and manages a volume of 30 million voice interactions every day. The new system integrates agentic AI orchestration to detect user intent and sentiment in real time.

The players

Melento

Melento is an artificial intelligence firm that specializes in agentic AI orchestration for enterprise applications.

Gnani AI

Gnani AI is a technology company providing voice-based artificial intelligence solutions used by major enterprises.

The details

The collaboration targets industries including BFSI, insurance, pharma, and legal sectors. These agents are built to execute tasks based on live voice conversations across diverse linguistic environments.

Timeline

  1. The collaboration between the two companies was officially announced on October 3, 2026.

The Tech Race

The emergence of voice-enabled agentic AI represents a shift from simple conversational chatbots to systems that can autonomously perform complex enterprise tasks. This partnership accelerates the competition to integrate sophisticated voice automation into the core operations of global firms.

Customers in regulated sectors like insurance or finance can expect faster resolution times as AI agents handle complex requests autonomously. These systems are designed to improve efficiency by accurately detecting intent during live interactions.

The takeaway

Businesses looking to improve customer service should monitor how agentic AI changes the speed and accuracy of voice-based interactions. Adopting these tools requires balancing automation with clear oversight in highly regulated environments.

Further reading

Learn more about the latest innovations in this field in the Artificial Intelligence section.

Source note: This article includes information reported by MediaBrief.

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