We’re building AI agents for product teams to test assumptions and get feedback with realistic user behavior for your product. Instead of waiting weeks for real user feedback, get quantitative + qualitative insights in minutes from your ideal user profile. We combine this agentic feedback with existing human-user feedback to give product teams a more comprehensive dataset to make decisions with. For any company specific use cases or personas (e.g., medical professionals), please reach out!

We picked this idea because all PMs, developers, and managers face it: teams ship product changes, then wait weeks or months to get real user feedback and iterate. Currently, product development teams wait 2-4 weeks to get user feedback, often requiring multiple releases to refine a product. We cut this down to hours. Our swarm of trained AI agents will interact and reason with products like real users, allowing us to provide quantitative and qualitative user feedback at scale. We combine this agentic feedback with existing human-user feedback to give product teams a more comprehensive dataset to make decisions with. Over time, we’ll close the loop from feedback to ideation by continuously proposing product variants, validating them, and recommending the best option with rationale. This full stack AI system will ideate, iterate, and validate, helping teams ship products closer to product-market fit.

This is pretty cool, what have you tried it on?

Auxos

Feedback from AI users in minutes

Feedback from AI users in minutes