Monterey AI is an AI copilot that turns qualitative user feedback into real-time product insights across 85+ languages.

Monterey AI is an AI platform for product analytics focused on qualitative data. It automatically sorts, prioritizes, and delivers insights in real time, helping teams turn messy, unstructured feedback into actionable insights. The platform supports over 85 languages and integrates with tools like Zendesk and Slack, making it easier to manage feedback from multiple communication channels. It also includes ways to vote on new product features and organize engineering tickets.
Companies of all sizes, from early-stage startups to Fortune 50 enterprises, use Monterey AI to identify the core issues affecting customer experiences and to give product managers straightforward tools for acting on them.
Monterey AI was founded by Chun Jiang and Ben Kramer. Chun Jiang previously worked in Autonomous Tech at Uber and Scale AI. Ben Kramer has engineering experience from SINAI and Uber ATG. The broader team includes specialists in Machine Learning, Engineering, Go-to-Market strategy, and Research, with backgrounds from MIT, Uber, and Yale. The team initially built a tool to help product teams with documentation before broadening their scope to an AI copilot for product insights.
Monterey AI can be up and running in about 5 minutes: link your data sources and start analyzing user feedback immediately. Once connected, the platform automatically sorts and prioritizes feedback, delivering real-time insights in over 85 languages.
Key capabilities include in-depth data analysis, integrations with tools like Zendesk and Slack, real-time user insights, productivity gains, cost savings, and multi-language support. Monterey AI offers different pricing options, all including AI-powered analytics, qualitative data analysis, user feedback management, real-time insights, and integration with your product development process.
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