Skilled Developers

On Time
Delivery

Startup Affordable Prices

Quality
Delivery

We Set Ourselves Apart Through

Innovative Ideas

Amplified Vision

Agile Developmen

Creative Minds

Share your Big idea with us

Join Us

To begin with, Rules and Workflows represent the business scenario that one intends to automate using Chatbot interface. As this is mostly part of the business layer of any existing application, it gets reused by means of APIs but there is an essential step of transforming existing workflow to fit into conversational steps and embed rules in between as applicable. As conversation will be driven based on how the user chooses to interact with the Chatbot, it’s important for Chatbot to understand what user intends to do. This is where ongoing evolution in AI and ML has been a big factor in the emergence of Natural Language Processing (NLP) services used in Chatbot to map human input to actions and responses. NLP comprises of processing utterances, intents, entities and context. An utterance is a textual input from the user, that Chatbot needs to interpret. An intent represents actions a user wants to perform which is derived from an utterance. If intents are verbs, then entities are nouns. Contexts are state information of user interaction i.e. keeping track of the topics in a conversation. Some of the leading platforms that provide NLP service are api.ai, Microsoft LUIS, Wit.ai, Amazon Lex, and IBM Watson.

we worked

We Worked

Components discussed so far give us multiple options to create conversations and an interface for same, missing piece is connecting to existing application interfaces and data sources for dynamic and context specific details. There are different mechanisms provided for such integration scenarios by platforms and services listed above such as Webhooks, AWS Lambda functions etc. Microsoft provides a Bot Framework and Bot Service (currently launched for preview) can be used to call APIs based on the intent match. Microsoft has also enabled integration of Bing search service into conversations to enable integrated search functionality, we may get more options from other search engines like Google in near future.

Innovative Ideas

Amplified Vision

Agile Developmen

Creative Minds

Lorem Ipsum

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.

We Worked

Lorem Ipsum is simply dummy text of the printing and typesetting industry Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum is simply dummy text of the printing and typesetting industry..

we are

We Are

Components discussed so far give us multiple options to create conversations and an interface for same, missing piece is connecting to existing application interfaces and data sources for dynamic and context specific details. There are different mechanisms provided for such integration scenarios by platforms and services listed above such as Webhooks, AWS Lambda functions etc. Microsoft provides a Bot Framework and Bot Service (currently launched for preview) can be used to call APIs based on the intent match. Microsoft has also enabled integration of Bing search service into conversations to enable integrated search functionality, we may get more options from other search engines like Google in near future.

Lorem Ipsum

To begin with, Rules and Workflows represent the business scenario that one intends to automate using Chatbot interface. As this is mostly part of the business layer of any existing application, it gets reused by means of APIs but there is an essential step of transforming existing workflow to fit into conversational steps and embed rules in between as applicable. As conversation will be driven based on how the user chooses to interact with the Chatbot, it’s important for Chatbot to understand what user intends to do.

Components discussed so far give us multiple options to create conversations and an interface for same, missing piece is connecting to existing application interfaces and data sources for dynamic and context specific details. There are different mechanisms provided for such integration scenarios by platforms and services listed above such as Webhooks, AWS Lambda functions etc. Microsoft provides a Bot Framework and Bot Service (currently launched for preview) can be used to call APIs based on the intent match.

We Are

As implementing robust conversations using NLP is critical to overall user experience, the medium through which this experience is delivered is equally important. Due to this, NLP systems listed above provide seamless integration with multiple channels..

we do

We Do

It is a known fact that healthy employees are happier and more productive at work, and cost a company far less money in the long run, leading to better business results. And it goes without saying, anything that promises to improve employee wellness will spontaneously draw the attention of HR leaders. Employers are looking to play a greater role in employee wellbeing and a large number of companies are now introducing wearable technology as part of their wellness program.

Lorem Ipsum

To begin with, Rules and Workflows represent the business scenario that one intends to automate using Chatbot interface. As this is mostly part of the business layer of any existing application, it gets reused by means of APIs but there is an essential step of transforming existing workflow to fit into conversational steps and embed rules in between as applicable. As conversation will be driven based on how the user chooses to interact with the Chatbot, it’s important for Chatbot to understand what user intends to do.

Components discussed so far give us multiple options to create conversations and an interface for same, missing piece is connecting to existing application interfaces and data sources for dynamic and context specific details. There are different mechanisms provided for such integration scenarios by platforms and services listed above such as Webhooks, AWS Lambda functions etc. Microsoft provides a Bot Framework and Bot Service (currently launched for preview) can be used to call APIs based on the intent match.

We Do

Lorem Ipsum is simply dummy text of the printing and typesetting industry Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum is simply dummy text of the printing and typesetting industry..

contact us

Contact Us

Recently, I had an opportunity to meet many publishers during my visit to the US. During these meetings it became very clear to me that almost every publisher is trying to build a strategy around digital content management and delivery. With the global acceptance, popularity and reach of devices like Kindle, iPad, Nook and other tablet-based readers everyone has recognized that the demand for digital content is going to supersede all other forms of content consumption in near future. This demand is also being felt in the emerging economies. Therefore the problems faced by publishers are universal; probably the scale and dynamics are slightly different.