The start of IIT Roorkee helped 500 million Indians consume content online

Vernacular.ai, a platform that uses NLP to create a multilingual chat for businesses, has raised funds from Kalaari Capital of K-Start. Four friends of IIT Roorkee – Surabh Gupta, Manoj Sarda, Akshay Deshraj and Prateek Gupta – think that with the increase in mobile Internet penetration, it is important to build something. helped 500 million Indians to follow online. And four people who have been friends for five years have found that in some rural and urban areas, businesses have neglected non-English-speaking users. on digital channels. So many people even have access to the Internet without access to content. That’s when they decided to launch Vernacular.ai, a platform that helps companies interact and interact with their multilingual customers in their preferred language, using NLP Technology. The platform works as a multilingual chat agent for businesses. Team @ Vernacular.ai Focus on the problem Fundraising of K-Start seed division of Kalaari Capital. Sourabh says that the complexity of the problem increases in the case of Indian languages, such as the Indian language of rich morphology, interactive conversations other than manual rules, and frequent mixing. with other languages ??in the conversation. We build our own technology and academy, ?? he said. Earlier this year, Vernacular.ai first debuted as a B2C product, Aisha, a Hindi personal assistant for people living in Class II and III cities. The product has a strong appeal, with 50,000 users exchanging over a million messages in a short time. Said Sourabh. Now, with Vernacular.ai, this platform focuses on B2B business to help. Organizations create a multilingual discussion. Core technology has two main components: 1) Language comprehension: Use advanced NLP technologies to extract meaning, context, and entity from incoming messages in several languages. 2) Deep Learning: Deep neural networks pre-trained with domain data repositories and enriched with company-specific data for accuracy. Maximum for their conversation. We’ve also been working with financial institutions on interesting use cases that can increase business, reduce operating costs and increase middleware. Success and customer satisfaction? more Sourabh. It is said that India has more than 100 million people who speak English, which represents almost 10% of the population. . However, it can not be forgotten that the country is a multilingual country, with nearly 780 languages, according to the Indian Languages ??Survey. In MobileSparks 2015, Sahil Kini, director of Aspada Investment, said that English accounted for 56% of total online content. The majority of the next 300 million users access the mobile Internet platform that wants to use the content in the local language. The number of people living in rural India alone is estimated at 280 million by 2018, almost the entire population of the United States. It is estimated that 90% of Internet access in rural areas will be by mobile phone. It is therefore not surprising that some players participate in local language games, including ShareChat, India’s first social network in the local language, has recently raised SAIF Partners’ Series A funds . Other news aggregators like Tigers InShorts, Way2News and Hike (News) also focus on local Indian languages. There is also DailyHunt, which has recently increased its investment in Series D to $ 25 million. The B2B space is also supported by Aspada’s Reverie technology, which helps businesses become more multilingual. With this round of sponsorship, Venacular.ai is focusing on building a stronger product and is also looking to hire more people into their technology. team. Our vision is to create a broadly engaging platform for a billion Indians to use AI to meet the needs of those who can only reach out to the language. native language. In a country of more than 1.3 billion people, only 150 million people can understand English. For others, the Internet is largely inaccessible. We are building specific products for India to solve this problem. .

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