Omnichannel customer engagement at scale with Conversational AI-powered Chatbots

IA conversacional

Conversational AI Engine that enables the creation of Intelligent Chatbots and improvement in on-device messaging experiences

DIY AI Tools (no-code, low-code, yo-code) with CPaaS

Plug-n-play AI Models and Templates (pre-built, pre-tested AI data models and industry AI chatbot templates)

Tools for building AI-enabled conversational chatbots

  • No-code AI

    No-code AI

    Choose from a list of pre-built AI bot templates, customize its content and instantly publish it. Launch a fully functional banking or insurance bot in minutes.

  • Low-code AI

    Low-code AI

    Create detailed and advanced conversational bots using just point-and-click tools.

  • Yo-code AI

    Yo-code AI

    Get bot development lifecycle tools from scripting to analytics for building best & most advanced chatbots

All Models and Templates

  • Pre-trained AI models reduce dev time

    Pre-trained AI models reduce dev time

    AI language models are fine-tuned by training on domain-specific vocabulary

  • NLP-on-the-Fly for pre-trained AI models

    NLP-on-the-Fly for pre-trained AI models

    No need to train the NLP model before implementing it

  • On-device Experiences

    On-device Experiences

    Build cross-brand user-profile, context and preferences that can improve bot experiences

  • Tagging tool

    Tagging tool

    Ensure active learning-powered recommendations for searching data to tag in a large database

  • On-device Bot store for discovery

    On-device Bot store for discovery

    Search & discover your enterprise chatbot online from our bot store to seamlessly transition to individual bots

Industry-specific AI modules

  • Banking


    KYC, collections, branch locator, card finder, loan finder, payment options

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  • E-commerce


    Package tracking, delivery rescheduling, returns

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  • Travel


    Hotel changes, flight upgrade, local attractions

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On-device Conversational AI


On-device AI capabilities for message analysis and personalization to enhance all bots

  • AI models for on-device classification and visualization on Xiaomi and OnePlus devices
  • An ontology consists of over 100+ categories/sub-categories can extract multiple entities at each node
  • The largest data set in the industry with over 300 billion messages
  • These models have been continually optimized for accuracy and security and privacy, with all user-data staying on the device
  • Deployed on over 100 million devices
  • Only company in the world to have built on-device message classification AI models at scale

On-device Bot store and Super bot for discovery

  • Bot store as the one place to search and discover enterprise bots
  • Ability to seamlessly transition to individual bots / conversational experiences
  • Super Bot serves as the equivalent of a search engine, starting point for conversational experiences
  • Leverages AI to understand user queries and recommend relevant bots
  • Query can be by brand, topic or interest area
  • Make the bot store available through different channels

On- device Experiences

  • A bot-friendly messaging app with bots, bot store and on-device AI-Automated actions on behalf of the user with the user (pre-approval)
  • Builds cross-brand user-profile, context and preferences that can improve all bot experiences
  • Enhances user profile with massive data sets from messaging logs
  • Analogous to Chrome password, credit card store, user preferences

Tagging tool

  • Enterprise messaging ontology-driven tagging of a knowledge base expressing how companies communicate with users.
  • Contains more than 150 entities and 75 categories, trained over millions of transactions.
  • Active learning powering recommendations for searching data to tag in a large database.

Most Asked Question: What is an example of conversational ai?

Conversational AI is more embedded in our lives than we realise. Here are some common manifestations

  • FAQ bots on banking apps

  • Personal assistants on mobile phone

  • Voice Assistants in Cars


What is Conversational AI? The 2022 Guide!

How does a conversational AI platform work? What are the most common conversational AI use cases? In this blog, we will address all these questions.

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Conversational AI: Humanizing Interactions Between Brands and Consumers

Product Head of Conversational AI at Gupshup, Niyati Agarwal joins CEO Beerud and VP Marketing Srini to discuss how Conversational AI technology changes the course of brand interaction with consumers

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