Chattermill

Chattermill, founded in 2015 by Mikhail Dubov and Dmitry Isupov, is a London-based customer experience (CX) analytics platform that uses AI to analyze customer feedback across multiple channels.

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Chattermill uses AI to analyze customer feedback across multiple channels and turn it into actionable insights.

Chattermill, founded in 2015 by Mikhail Dubov and Dmitry Isupov, is a London-based customer experience (CX) analytics platform that uses AI to analyze customer feedback across multiple channels. The company initially gained traction by helping brands like Uber and HelloFresh unify and analyze feedback at scale. Chattermill’s proprietary Lyra AI engine processes unstructured text data from sources such as surveys, reviews, and social media, enabling enterprises to derive actionable insights.

Over the years, Chattermill has expanded its customer base to include global brands like H&M, Booking.com, and Eon Next, processing millions of feedback signals daily. The company’s focus on Experience-Led Growth (XLG) positions CX as a competitive advantage, helping businesses connect customer sentiment to long-term profitability. Chattermill’s platform integrates with over 90 tools, including Zendesk, Trustpilot, and Qualtrics, and supports analysis in 50+ languages.

In 2025, Chattermill introduced its MCP server, allowing feedback data to be queried by AI agents like ChatGPT and Claude. The company has raised $26 million in funding to date, with its latest Series B round in 2023 led by Beringea. Chattermill’s recent partnerships with McKinsey and its emphasis on XLG highlight its strategic shift toward sustainable, customer-centric growth.

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Who buys this

  • Enterprise CX teams managing high-volume feedback
  • Product teams seeking granular customer insights
  • Insights teams analyzing multi-channel customer data
  • B2C and DTC brands with global operations

Publicly disclosed clients

  • Uber
  • Booking.com
  • HelloFresh
  • H&M
  • Eon Next

Strengths and what to watch

Strengths

  • Proprietary Lyra AI engine for granular sentiment analysis
  • Integration with 90+ tools and support for 50+ languages
  • Focus on Experience-Led Growth (XLG) for sustainable profitability

Watch for

  • Heavy reliance on enterprise clients, which may limit mid-market adoption
  • Competition from specialized feedback platforms like Enterpret and Thematic
  • Complexity of implementation for smaller teams

Key Information

Founded
2015
Headquarters
London, UK

Frequently Asked Questions

What does Chattermill do?

Chattermill uses AI to analyze customer feedback from surveys, reviews, and social media, turning it into actionable insights. Its Lyra AI engine processes unstructured text data, helping brands like Uber and HelloFresh unify and analyze feedback at scale for better customer experience decisions.

How does Chattermill’s Lyra AI engine work?

Chattermill’s Lyra AI engine processes unstructured text data from multiple sources, such as surveys and social media. It performs granular sentiment analysis, enabling enterprises to derive actionable insights from customer feedback and improve their customer experience strategies.

What is Experience-Led Growth (XLG) in Chattermill?

Experience-Led Growth (XLG) is Chattermill’s strategy to position customer experience as a competitive advantage. By analyzing customer feedback and connecting sentiment to long-term profitability, Chattermill helps businesses achieve sustainable, customer-centric growth.

Which tools does Chattermill integrate with?

Chattermill integrates with over 90 tools, including Zendesk, Trustpilot, and Qualtrics. This extensive integration capability allows businesses to analyze customer feedback across multiple platforms, ensuring comprehensive insights into customer experience.

What types of businesses use Chattermill?

Chattermill serves enterprise CX teams, product teams, and insights teams managing high-volume feedback. Its clients include global brands like Uber, Booking.com, and HelloFresh, which leverage Chattermill’s AI analytics for customer experience insights.

How does Chattermill compare to Enterpret and Thematic?

Chattermill distinguishes itself with its Lyra AI engine and focus on Experience-Led Growth. While Enterpret and Thematic specialize in feedback analysis, Chattermill excels in enterprise-scale CX analytics, offering granular insights and integration with over 90 tools.

Sources

  1. chattermill.com — Chattermill’s focus on Experience-Led Growth (XLG)
  2. chattermill.com — Comparison with Enterpret and Chattermill’s enterprise focus
  3. chattermill.com — Comparison with Thematic and Chattermill’s AI capabilities
  4. chattermill.com — Chattermill’s partnership with Uber and global CX strategy