No more spelling mistakes while searching between the source and destination.
eg: “Trains from Varanasi to Delhi on 30th Jan”
Let your users get to know the status of their mode of journey. Reduce the frustration of finding the status with voice
Let your users get to know the status of their train/flight/bus.
eg: "Show me status of my flight"
Introducing the easiest way to do a web-check
Make looking up PNR even easier for your users using Voice.
World’s first VAaaS platform provides a suite of domain specific Voice Assistants for mobile and web apps.
Training NLP & Speech Recognition models
New vernacular languages
Conversation Design
Intuitive UI/UX
Infrastructure & lifecycle management
All taken care of by the platform.
Low-code Integration
Pre-trained NLP Models
Pre-configured Data
Multilingual Out-of-box
Low-weight SDK
Go-Live under 30 mins, not months!
Domain specific NLP and Speech recognition models deliver out-of-box high accuracy.
Every domain has its own nuances. Speech Recognition models that we use are trained specifically for each domain and dynamically improves over time.
Our NLP models are pre trained to understand the vocabulary of your app to get even higher accuracy.
Intuitive voice experiences based on years of on-field research, delivered to production in your first rollout.
Users can invoke the Voice Assistant using touch or the app can invoke it automatically.
After a voice command is completed, our voice assistant continues to listen for more queries.
On screen contextual Visual hints, guide the user to complete intended tasks using voice.
Allow users to speak long & short form natural sentences to get things done in your app.
Multilingual Voice Assistant on top of your English app.
Our voice assistant supports 5 Indian languages - English, Hindi, Tamil, Kannada and Malayalam.
The user's inputs are converted to English irrespective of what language they speak so that your app can continue to be in English.
Bias our translation engine to have control over the words and phrases which you don’t want to translate.