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
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
Create detailed and advanced conversational bots using just point-and-click tools.
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
AI language models are fine-tuned by training on domain-specific vocabulary
NLP-on-the-Fly for pre-trained AI models
No need to train the NLP model before implementing it
On-device Experiences
Build cross-brand user-profile, context and preferences that can improve bot experiences
Tagging tool
Ensure active learning-powered recommendations for searching data to tag in a large database
On-device Bot store for discovery
Search & discover your enterprise chatbot online from our bot store to seamlessly transition to individual bots
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
Resources
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.
Read Article
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
Listen to the podcast
LetsGupshup
Build Intelligent Bots powered by Conversational AI
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