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Deep learning startup Chattermill raises £600k Posted on : Dec 11 - 2017

The AI company plans to spend it on investing in new technology and expanding its team

London-based Chattermill has closed a seed round of £600,000, gaining funds that should help it boost its development of machine learning technology.

The deep learning startup applies artificial neural networks to customer feedback that learn from a company's data to help it make better decisions. It attempts to measure customer feelings about the design of the company's app, the speed of delivery and how customers feel about customer care agents.

The company was co-founded by Mikhail Dubov and Dmitry Isupov in 2015 who met at Entrepreneur First, a London-based company builder and startup accelerator that introduces potential co-founders to each other in order to form a team.

The total amount Chattermill has raised is £935,000 as the startup had an earlier round of funding in 2016 from the same group of investors. The funding will be used to invest in technology and continue growing the team with new hires including data scientists, engineers and business developers.

Co-founders Dmitry Isupov and Mikhail Dubov

Its product easily integrates with a number of tools, such as SurveyMonkey, Zendesk, TypeForm or Salesforce, and aggregates every piece of feedback to produce a thorough analysis of customer experience. The startup is currently working with customers across sectors that include, fintech, e-commerce, travel and gaming.

Chattermill has been backed by Entrepreneur First, Avonmore Developments and angel investors including Jeff Kelisky, CEO of Seedrs.

"We're thrilled to have the ongoing support of such a great list of investors," said Mikhail Dubov, the CEO and co-founder. "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." View More