Customer support automation startup
has invested $2.5 million into developing super bots that can understand natural languages called
super bots. These funds are allocated from the Series A funding that was raised in 2020.
The super bots can cater to clients across sectors and support six new languages. Verloop.io already supports 14 languages including Hindi, Arabic, Konkani,
, Kannada and Hinglish (Hindi and English). The NLP superbots will be able to raise this number to 20.
In addition to helping reduce costs of running a call center, superbots are also claimed to lend themselves to customer data, which can turn into a business analytical tool.
“There are several chatbots which exist in the market today and many of them are rule-based. Rule-based flows constrain the user to a structured dialog based on choice selection and keyword matching. However, AI-based chatbots can understand different user utterances, even if they don’t match specific keywords or pre-defined sentences. They can also continue learning from the mistakes and become smarter with time. Leveraging domain-specific terms enables better language understanding, creating bots which are specialized to answer domain-specific questions,” said
, Founder & CEO, Verloop.io.