Highlights: 

Data-efficient NLP: Availability of structured data is an enormous challenge within any organisation. If data is available, it is still difficult to supplement as training data for chatbots given the size. Our proprietary NLP engine based on a few-shot learning model that performs better than Microsoft Luis and Google DialogFlow with 50% lesser data has solved this problem for numerous large global conglomerates.

Translation-independent Multilingual Model: Our multilingual sentence embedding based model with added specifications enables customers to train intent classification models in one language and use the same across languages (without having to rely on the translation or add more utterances per language). 

Omni-channel Automation-first Service Desk: A service desk is a key component of any customer/employee experience automation tool. Our Virtual Assistants deflect a vast majority of the incoming queries,  & are equipped to make human agents more productive, should a query be not completely deflected by the Virtual Assistant. Multi-turn NLG provides text response suggestions for agents to utilise. 

Deep Learning-based Insights Engine: We have developed a proprietary enterprise search engine based on a Transformer Model that can connect directly with a wide range of popular internal document management systems like Microsoft Sharepoint, ServiceNow, Confluence, etc.