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Chattermill, which uses AI to extract insights from customer experience data, raises $26M • TechCrunch

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Chattermill, a platform that helps companies unlock insights by analyzing customer feedback data from across myriad digital channels, has raised $26 million in a Series B round of funding. Founded out of London in 2015, companies such as Uber and Amazon use Chattermill to unify all their customer data, integrating with social networks, customer feedback and support tools, online review sites and more to establish a "single source of customer truth," as the company puts it. Meshing the data is only part of Chattermill's promise, though. Given the typically unstructured nature of customer feedback and conversations, Chattermill has developed its own deep learning models for extracting meaningful insights from the aggregated data. This could mean identifying ways to improve the overall customer experience, spotting relatively minor issues before they snowball and tracking the efficacy of new initiatives that were designed specifically to improve customers' experiences.


Deep learning startup Chattermill gets £600,000 - UKTN (UK Tech News)

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London-based deep learning startup Chattermill has raised £600,000 in Seed funding. Entrepreneur First, Avonmore Developments and angel investors, including Jeff Kelisky, the CEO of Seedrs, participated in the round. Chattermill was co-founded by Mikhail Dubov, a Cambridge and LSE educated software engineer, and Dmitry Isupov, a Maths graduate with deep knowledge and experience in machine learning. The startup leverages machine learning to convert feedback into useful customer insight. Dubov, also the CEO, said: "We're thrilled to have the ongoing support of such a great list of investors. We've been lucky enough to help some of the world's most customer centric businesses see genuine value by understanding their users at scale. Our platform not only challenges their assumptions, but gives them incredibly detailed insight in real-time, at a fraction of the cost of traditional customer experience research."


Chattermill raises £600K to use 'deep learning' to help companies make sense of customer feedback

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Chattermill, a London-based startup that uses'deep learning' to help companies make better sense of customer feedback, has raised £600,000 in seed funding. Backing comes from Entrepreneur First -- Chattermill is an alumnus of the company builder -- and Avonmore Developments, along with a number of angel investors, including Jeff Kelisky, CEO of Seedrs. Founded in 2015 by friends Mikhail Dubov and Dmitry Isupov, Chattermill is one of a number of startups that are tackling the problem of how to sift through and respond to customer feedback and across multiple channels. With that data growing exponentially, the company is employing deep learning to help do the job in, arguably, a much more scalable and potentially more accurate way. "We help companies understand and improve their customer experience: we give companies insight that helps them craft better products and services," Dubov, Chattermill's CEO, tells me. "Companies with best in class customer experience ultimately have more loyal customers and find it easier acquiring them in the first place.