Overview
Introduction to Slang CONVA and In-App Voice Assistants
Slang CONVA is the world's first Voice Assistants as a Service platform. It enables businesses to add In-App Voice Assistants to mobile and web apps quickly and easily, with a very intuitive and developer-friendly workflow.
CONVA follows a "Batteries Included" approach and comes with a set of Voice Assistants that are:
- Full-stack
- Pre-trained
- Multi-lingual
- Multi-modal
- Ultra-responsive
- Domain-specific
- Easily customizable
CONVA breaks down the process of adding In-App Voice Assistants into a very simple and intuitive workflow, that feels natural to a mobile or web developer, while also providing the necessary flexibility for businesses to customize the experience to suit their app's specific needs.
Traditional conversational platforms provide individual components for building an Voice Assistants and require developers to work with low-level conversational constructs like intents and entities (or slots), as well as design a complex conversational design layer for configuring and training the Assistants. Unlike these platforms, CONVA provides pre-built and pre-trained Voice Assistants along with a simple interface to customize and integrate them into apps.
An In-App Voice Assistant is a component that you can add to your app to augment the experience of using the app with Voice. This component allows users to talk to your app and get things done, in conjunction with the existing touch based experience that already exists.
Slang CONVA's Voice Assistants enable your users to perform multi-modal user journeys, where part of the journey can be performed by voice and part of it can be performed by touch. They also support multi-lingual inputs out of the box. So even if your app is in English, your users can talk to your app in any of the multiple languages that the Assistants support.
In the next few sections, we will understand more about how this works, the components that CONVA provides, and also the steps needed to incorporate the In-App Voice Assistants into your app.
Last modified 2yr ago