Monterey AI

What is Monterey AI?

Monterey AI is a copilot for product insights that helps teams aggregate, analyze, and monitor large amounts of qualitative data more efficiently. Developed by experts from Uber, Scale, and MIT, it aims to empower companies that rely on AI to stay competitive.

How to Use Monterey AI?

To use Monterey AI, you can start by booking a demo to understand its capabilities. Once you have a demo, you can easily integrate it into your existing tools to gather real-time and accurate data from thousands of sources. Monterey AI offers custom models that continuously learn and improve, providing robust solutions for businesses. You can also set up feedback infrastructure, monitor user feedback to identify risks and opportunities, and route reports to the appropriate teams. This tool enables you to base product development decisions on data and integrate seamlessly with your engineering platform for better communication and collaboration.

Monterey AI's Core Features

Aggregates and analyzes large volumes of qualitative data

Provides real-time and accurate data from various sources

Offers custom models that continually learn and improve

Supports scalable infrastructure for handling millions of data points

Prioritizes privacy and security with industry-level compliance

Sets up feedback infrastructure

Monitors user feedback to identify risks and opportunities

Integrates deeply with engineering platforms for data-driven decisions

Supports over 85 global languages

Routes reports to the right team for action

Monterey AI's Use Cases

Gaining insights from user feedback to improve product development

Identifying trends and user needs in real-time

Scaling customer focus without expanding the team

Making evidence-based decisions during product development

Enhancing collaboration and communication with engineering and marketing teams

Bridging the gap between users and the development team

Saving time and effort in prioritizing areas for improvement