Customer service automation startup Lang bags $15 million
- ByStartupStory | May 14, 2022
Lang, a startup which develops a platform that automatically tags the customer conversations to solve service issues apparently more quickly. The firm has recently raised $10.5 million funds in a Series A funding round led by Nava Ventures consequently bringing its total raised to $15 million. It uses AI to extract ideas from customer requests in prevalent help desk platforms just like Zendesk and Intercom. By using Lang, companies can visually group ideas identified in customer support data and build automation that is activated with specific labels.
Lang is not the only startup to use AI to auto-tag customer service texts. Other platforms like Levity.ai and Chatdesk also offer auto-label incoming services requests. Lang uses AI systems designed specifically for customer domains to find the industry jargon and adapt to the changes such as emerging support issues. Lang was founded by Jorge Penalva, Enrique Fueyo, Borja Gonzalez, Basil Polsonetti and Stephan Cizmar.
Penalva, the co-founder and CEO of Lang.ai said that lang is becoming a data platform which can be leveraged for automation, chatbots and machine learning. He also said that data is one of the most valuable assets for support and customer experience. The company’s mission is to structure data in a simple and reliable way across all of its customer interactions and gain a seat at the leadership table with the aim that support will be no longer viewed as a cost centre but as a revenue driver.
Lang has grown 11x in the last five quarters before the Series A. Along with the proceeds from the latest round that witnessed the participation of Oceans Ventures, Forum and Flexport Fund. The startup would work to find ways to connect support talks for purchasing data to determine the probability of people buying a product having a certain issue.
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