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.

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

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