Noibu

Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience.

Identify critical issues impacting online sales, site abandonment, and user satisfaction. Webeyez analyzes real user data, in real-time, to help marketing and sales teams identify technical issues impacting online revenue. Get Automatic Alerts. Get notified immediately when something is not working, and how much it’s costing you, to ensure that revenue loss is minimized. Webeyez developed a site score so e-commerce and product managers can easily understand the technological status of their webshop without having any knowledge in technology. By using Artificial Intelligence, Webeyez generates a high-level site score which presents a snapshot of the main technical issues impacting sales. The score is determined by calculating an aggregate of goal success rates, goal duration times, critical paths, page load times, server, network and browser times etc. Our anomaly detection algorithms detect and alert for drops in the score, and identify the root cause.