Chattermill
AI-native platform for consolidating and analyzing customer feedback from multiple sources
Chattermill is an AI-native voice of customer and feedback analysis platform that consolidates customer feedback from multiple sources, uses AI to tag and analyze every comment, and surfaces insights to teams and AI agents. It solves the problem of scattered, unstructured customer feedback by unifying data from surveys, reviews, support chats, and calls into one place, making it actionable.
The platform includes an insights engine called Lyra AI, which combines aspect-based sentiment analysis, supervised learning, and large language models to deliver strategic and precision insights. Key capabilities include impact analysis, anomaly detection, reports and dashboards, and workflows and automations. It also offers Lyra Agent, an AI agent for customer feedback analysis that can answer questions and proactively surface trends. The platform integrates with over 65 feedback channels, supports feedback in 100+ languages, and includes PII redaction. It is built on a modular agentic architecture that can connect to external AI agents via MCP and skills.
Chattermill is designed for CX, product, insights, and customer support teams at enterprises. The website indicates it is trusted by global brands and offers a bookable demo, but does not specify free plan, trial, or pricing details.
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