Monterey AI

Monterey AI is a copilot for product insights that allows teams to aggregate, analyze, and monitor millions of qualitative data in a smarter, faster, and scalable way. It is built by AI and data leads from Uber, Scale, and MIT, and is designed to empower next-gen companies betting on AI as their competitive edge.

To use Monterey AI, you can start by booking a demo to get a better understanding of its capabilities. Once you have a demo, you can integrate Monterey AI into your existing tools instantly, allowing you to gather accurate and real-time data pulled directly from thousands of existing sources. Monterey AI also offers custom models that continuously learn and improve over time, providing innovative and robust solutions for companies. You can also scale customer obsession by setting up feedback infrastructure, monitoring user voice to identify risks and opportunities, and triaging reports to the right team for action. Finally, Monterey AI allows you to leverage data to make evidence-based decisions in product development and deeply integrate with your engineering platform for precise communication and collaboration.

Monterey AI is a copilot for product insights that allows teams to aggregate, analyze, and monitor millions of qualitative data - smarter, faster, and at scale.

To use Monterey AI, you can start by booking a demo to get a better understanding of its capabilities. Once you have a demo, you can integrate Monterey AI into your existing tools instantly, allowing you to gather accurate and real-time data pulled directly from thousands of existing sources. Monterey AI also offers custom models that continuously learn and improve over time, providing innovative and robust solutions for companies.

The core features of Monterey AI include aggregating and analyzing millions of qualitative data, real-time and accurate data pulled from existing sources, custom models that continuously learn and improve, scalable infrastructure for processing millions of data points, privacy and security first approach with industry-level compliance, setting up feedback infrastructure, monitoring user voice for risk identification and opportunity uncovering, deep integration with engineering platform for evidence-based decision making, support for 85+ global languages, and triaging reports to the right team for action.

The use cases of Monterey AI include gaining insights from user feedback and improving product development, identifying trends and user needs in real-time, scaling customer obsession without scaling the team, making evidence-based decisions in product development, collaborating and communicating effectively with engineering and marketing teams, shortening the distances between users and the development team, and saving time and effort in triaging and prioritizing areas of improvement.