Moveo One is building a predictive monitoring tool that learns from your data streams to simulate and forecast system health.

Learn how to build precision-focused predictive models in Moveo One to detect user intent (e.g., checkout hesitation) in real time and act before money is left on the table.

Learn how Moveo One helps product teams detect friction in onboarding, understand attention drop-off, and improve UX through behavioral data and AI-powered recommendations.

Cross-platform frameworks make development faster — but they often fragment analytics. In this post, we show how Moveo One brings native-level behavioral insight toFlutter, React Native, and MAUI apps, helping teams maintain consistent, comparable analytics across platforms, detect UX friction, and improve conversion through unified data and AI-driven insights.

Moveo One is introducing Synthetic Users — AI models that mimic real user behavior to test your web app before it goes live. Currently in beta, this feature lets teams uncover friction in sign-up forms and flows using realistic, data-driven simulations modeled from real behavioral patterns collected across Moveo One.

Add one script and turn any static site into a source of rich behavioral analytics. Moveo One captures attention, motion, and interaction patterns — no code, no setup