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Voice Automation startup Skit earlier raises $23 million in series B round.

Voice automation company, Skit said it has raised $23 million in its Series B funding, led by WestBridge Capital. The round included Kalaari Capital and Exfinity Ventures, Angelist syndicate led by Aaryaman Vir Shah from Prophetic Ventures, and Letsventure syndicate led by Sense AI. The startup had raised $5.1 million as a part of its Series A raise in May, last year, led by Exfinity Ventures.

“This investment comes when we are making strategic inroads into the US and SouthEast Asian markets. Clients and investors alike have recognized the uniqueness and superiority of our product and continue to show confidence in our growth path. The global contact center market size is expected to grow steadily and reach a value of $496 billion by 2027. To address this sizable growth, we at Skit are using voice bot innovation and our market observations to personalize caller experiences at customer contact centers,” said Sourabh Gupta, chief executive officer and co-founder of Skit.

Based in Bangalore founded in the year 2016 by Akshay Deshraj, Manoj Sarda, Sourabh Gupta Skit enables enterprises to automate their contact center operations using AI. This investment will help skit increase its workforce on an international level and broaden its base in India.

“We are delighted to back Sourabh and Akshay as they continue to help global companies transform how customer service is delivered. Skit’s success in helping India’s largest companies, positions them well to enter the US market where there is a massive need for voice AI solutions,” stated Sashi Reddi, venture advisor to Westbridge Capital.

The Vernacular Intelligent Voice Assistant (VIVA) uses speech recognition and natural language understanding to interact with customers. VIVA is able to answer questions and try to meet their needs without requiring a human agent, with the help of machine learning algorithms trained on more than 10 million hours of data. it can converse in nearly 20 languages and more than 160 dialects.

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Written by Ravi Tilekar


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