Data Science Investment Counter —Funding raised by UK data science companies in 2018.
£ 5.640 Million

London-based Chattermill Raises £600,000 in Seed


Chattermill cofounders Mikhail Dubov and Dmitry Isupov were part of Entrepreneur First’s Spring 2015 cohort.

Chattermill, a London-based startup using machine learning to process feedback and extract actionable customer insights, has raised £600,000 in a Seed round backed by Entrepreneur First, Avonmore Developments, and several angel investors, including  Seedrs CEO Jeff Kelisky.


Founded in 2015 by Mikhail Dubov and Dmitry Isupov, the company was part of Entrepreneur First’s Spring 2015 cohort. It uses an AI technique called deep learning in order  to help businesses make more “customer-centric” decisions.

It caters to companies operating in sectors ranging from travel, to gaming, to grocery to insurance and retail, and claims to already provide its services to household names such as Just Eat, Transferwise, MOO, HelloFresh and Deliveroo.

The fresh injection of cash, which follows a round for an undisclosed amount raised in 2015, will now be used to improve Chattermill’s technology and expand its team. Altogether, the company says it has raised just under £1 million to date.


Company CEO Dubov commented on the new round in a statement: “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,” he said. “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.”

Entrepreneur First CEO and cofounder Matt Clifford also commented on the news: “We saw the opportunity in Chattermill from the very beginning and are happy to continue to back Mikhail, Dmitry and their growing team. They are a fantastic example of how machine learning and AI can dramatically impact product development by listening to what the customer really needs.”

Image via 


Co-working space and blog dedicated to all things data science.

Subscribe to our newsletter