Segment user inputs into subgroups, detecting user intents and trends in behaviors.
Context.ai helps you understand natural language in your LLM powered products.
Track performance with implicit and explicit user feedback signals to identify areas for improvement.
Integrate using our SDKs, or send transcripts directly via the API.
Use an LLM to group conversations into relevant categories. Context.ai suggests relevant clusters of conversations too, helping you uncover hidden behavior patterns.
Understand why users are having good or bad experiences. Search and filter by signs of user satisfaction to understand how you can improve their experiences.
The challenge that the scale of AI chat brings is understanding which needle to look for in the haystack.
Context.ai immediately gave me what I needed: Data that I could use to close more sales and insights for engineering to improve the user experience.
CEO & Co-Founder at Glyde Talent
Context.ai gives us confidence that changes will perform well before we ship them to production, and then shows their performance with real users - this is incredibly helpful.
CEO & Co-Founder at Superflows
We struggled to gain meaningful insights from the large amounts of data generated by our platform. It was difficult to understand exactly how users were interacting with the system and what they were trying to accomplish.
With Context.ai, we are able to derive more insights into how users interact with our product. This has been huge for understanding our users better, so we can focus on the areas that matter.
CEO & Co-Founder at Cognosys