Chattermill raises $26M to use AI in extracting customer insights from data

Chattermill, a platform that helps organisations acquire insights by analysing customer feedback data from a range of digital media, secured a $26 million Series B round of funding.

Chattemill will expand their activities across Europe and the US with another $26 million in the bank after a $8 million Series A financing. Chattermill’s Series B investment includes Runa Capital, DN Capital, Ventech, Btov, SVB and Blossom Street Ventures. 

A London based business called Chattermill operates with companies like Uber and Amazon to compile their client data. To create a one source of consumer truth, Chattermill interfaces with social networks, customer feedback and support systems, online review sites and more. 

However, Chattermill’s promise goes beyond merely integrating the data. Given how frequently customer comments and discussions are unstructured, Chattermill has developed its own deep learning models for extracting useful information from gathered data.

Finding ways to improve overall customer experiences, spotting relatively minor issues before they turn into large ones and keeping an eye on the effectiveness of new projects designed specifically to improve customer experiences are some of the examples. 

Michail Dubov, co-founder and CEO of Chattermill, describes the models as educated by learning to imitate how a subject matter expert would assess the data. The models get smarter over time by recycling information from the millions of data points collected. 

Chattermill is like the experience management system by Thoma Bravo, Medallia and more recent venture-backed businesses like Wonderflow. Despite their clear similarities, Dubov believes they have a major advantage over the competitors in terms of the quality of insights. Chattermill looks at important concepts in data while the majority of firms rely on keyword or keyphrase tactics, and this produces trustworthy categories.