If you're looking for a product insights platform that can handle multiple data sources and natural language input, Monterey AI is worth a serious look. It can draw data from multiple sources like user feedback, tickets and surveys, and let people extract insights without having to write any code. Monterey AI also has natural language interfaces like Q&A and Analyze that let you ask follow-up questions to get more out of your data.
Another good choice is ThoughtSpot, an AI-infused analytics service that lets people ask complex data questions in natural language. It's got search, AI-generated insights, natural language queries and visualization abilities, so it can be used in a variety of situations for data-driven decision making. ThoughtSpot's self-service analytics abilities make it useful for business teams and product builders across many industries.
If you want a more generative approach, Avian uses natural language processing to make data analysis and extraction of key metrics easier. It can handle multiple data sources and offers live queries so you can analyze data immediately. That makes it a good choice for exploratory data analysis. Avian is GDPR, CCPA and SOC/2 compliant, which is important for enterprises.
Genie is another good option, using AI to analyze data so you can query and visualize it with natural language. It can integrate with common workspaces like Slack and Teams, and it can store data locally for privacy. Genie's custom AI engine and flexible pricing means it's good for institutional customers who need fast, secure data analysis and visualization.