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What is Sarvam Indus?

Indus serves as the official conversational AI platform for Sarvam, created to facilitate effortless user interaction with its advanced sovereign language models through a user-friendly real-time chat interface. Introduced in February 2026 during a limited beta phase, this platform acts as the primary means for users to engage with Sarvam's impressive 105-billion-parameter model, which integrates intricate reasoning capabilities, multilingual understanding, and conversational traits into a single application. Specifically designed for the Indian audience, Indus supports more than 22 Indian languages, incorporating native scripts and code-mixed inputs while maintaining cultural and contextual relevance for effective communication. It enables users to interact through both text and voice, allowing for natural conversations and responses that can be delivered in text form or as synthesized audio, thus creating an accessible, voice-first interface suitable for various use cases. This forward-thinking approach not only boosts user interaction but also significantly expands the reach of AI technology, making it more accessible to individuals from a multitude of backgrounds and enhancing the overall experience of engaging with artificial intelligence. Furthermore, this inclusive design aims to bridge communication gaps, ensuring that users feel empowered and understood, regardless of their linguistic preferences.

What is Interactions Intelligent Virtual Assistant?

Engage with your customers effortlessly, catering to their preferences for communication. With the Interactions Intelligent Virtual Assistant, establishing effective communication and completing tasks with clients has become remarkably straightforward. By merging the latest advancements in Conversational AI with authentic human understanding, we are setting new benchmarks for exceptional customer interactions. This Intelligent Virtual Assistant allows your customers to converse through either speech or text, creating a personalized and natural communication experience that ensures a seamless journey from start to finish. An Intelligent Virtual Assistant, or IVA, enhances not only the efficiency of customer service but also its personalization, fostering conversations that resonate on a human level. The advanced features of Interactions IVAs, powered by Conversational AI, enable customers to communicate as they would in person, effectively reducing frustrations commonly associated with traditional automated systems. Even in the face of background noise, diverse accents, and weak connections, Interactions IVAs reliably comprehend customer input, leading to improved satisfaction and engagement. This forward-thinking strategy guarantees that every interaction is not only effective but also aligns closely with the individual needs and preferences of each customer, making them feel valued and understood. Ultimately, the Interactions Intelligent Virtual Assistant transforms customer service into a more engaging and human-centric experience.

Media

Media

Integrations Supported

Mimasa AI
Sarvam AI

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sarvam

Date Founded

2023

Company Location

India

Company Website

www.sarvam.ai/blogs/introducing-indus

Company Facts

Organization Name

Interactions

Date Founded

2004

Company Location

United States

Company Website

www.interactions.com

Categories and Features

AI Assistants

Not specified

Categories and Features

AI Assistants

Not specified

AI Voice Agents

Not specified

Chatbot

Not specified

Conversational AI

Not specified

Customer Engagement

Not specified

IVR

Call Center
Text to Speech

Voice Bot

Not specified

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