AtlasGrid automatically builds a visual graph of your mobile app's UI and overlays analytics directly on each screen. It uses AI agents to analyze iOS and Android apps, creating a searchable graph that shows user flows, events, and conversion rates in the context of your actual interface. Product teams can quickly identify where users drop off, which features drive conversions, and what product improvements to prioritize without switching between separate dashboards.

• Visual UI Mapping: Automatically builds a searchable graph of your mobile app's screens and user flows for iOS and Android apps.
• Screen-Level Analytics Overlay: Displays funnel conversion rates, CTA performance, and key metrics directly on your app's UI instead of separate dashboards.
• AI-Powered Analysis: Fleet of AI agents continuously analyzes thousands of mobile apps to identify growth opportunities and actionable product improvements.
• Event Tracking Integration: Captures analytics events and connects them to specific screens so you can see exactly where users engage or drop off.
• Flow Visualization: Maps complete user journeys through your app to understand navigation patterns and identify friction points.
• Unified Source of Truth: Consolidates fragmented documentation from PRDs, design files, JIRA tickets, and BI dashboards into one visual platform.

• Context-Aware Insights: Shows metrics directly on UI screens instead of forcing teams to correlate abstract dashboard data with actual app flows.
• Faster Problem Identification: Quickly pinpoints which specific screen or step causes churn without building complex event taxonomies.
• Cross-Functional Clarity: Gives product managers, designers, and analysts a shared visual reference for discussing app performance.
• Automated Discovery: AI agents surface design patterns and growth opportunities from analyzing thousands of apps.

• Mobile-Only Focus: Currently supports iOS and Android apps but not web applications or other platforms.
• Pricing Transparency: No publicly available pricing information makes it difficult to assess budget fit.

• Onboarding Optimization: Product managers can see exactly which onboarding screen causes the highest user drop-off and test design changes to improve completion rates. The visual overlay shows conversion percentages at each step without building custom dashboards.
• Campaign Verification: Growth and marketing teams running acquisition campaigns can quickly verify whether new users reach intended in-app experiences or abandon before conversion. This eliminates the need to manually track event sequences across multiple tools.
• Feature Adoption Analysis: Track which app features users discover and engage with by viewing interaction rates directly on feature screens. Identify unused features that may need better placement or promotion.
• A/B Test Analysis: Compare user flows and conversion rates between different app versions by viewing metrics overlaid on actual UI variations. Understand not just what performs better but why users behave differently.
• Cross-Team Alignment: Design, product, and analytics teams can discuss specific screens and user behaviors using the same visual reference, reducing miscommunication about which parts of the app need improvement.