The Embrace alternative that moves from monitoring to automated resolution

Luciq automates resolution with crash reporting and AI that suggests root causes. While Embrace monitors performance, Luciq provides actionable remediation to transform app quality into business impact.

Luciq vs. Embrace
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Complete observability for complex mobile apps.

Agentic intelligence for dev workflows
Luciq goes beyond detection. Our platform identifies root causes and recommends code-level fixes. While Embrace traces networks, Luciq automates troubleshooting with ANR detection and actionable debugging context.
Comparison graphic: New Relic out-of-the-box excellence
Mobile-first observability for developers
Gain comprehensive insights into your app's performance, stability, and user behavior with detailed metrics such as app launch times, API latencies, and crash impact analysis. Embrace offers limited observability tools, lacking the depth required for complex mobile applications.
Comparison graphic: Embrace mobile-first observability for developers
Metrics aligned with business outcomes
Luciq connects performance metrics to business results, highlighting revenue at risk, retention trends, and conversion funnels. This enables data-driven decisions that Embrace's platform does not support.
Comparison graphic: Embrace metrics aligned with business outcomes

Luciq vs Embrace: A deeper dive

Embrace
Test Your App Before Every Release
Bug Reporting with Repro Steps
Supported
Bug Reporting with Custom Workflows
Supported
Beta Releases Health Comparisons
Supported
Auto Rollout Stable Releases
Supported
Pause Phased Rollouts of Unstable Release
Supported
Improve App Quality and Performance
Debugging using Feature Flags and Verbose Logs
Supported
Root Cause Analysis with Smart Resolve AI
Supported
Automatic Assignment of Issues to Designated Teams
Supported
Mobile Specific Metrics such as App Hangs, Force Restarts, OOMs, Network Crashes
Supported
Supported
Debugging ANRs with Flame Graphs
Supported
Supported
Slow Screen Transitions Auto Detect
Supported
Supported
Automatic Alerts When Spikes Affect Specific Code Areas
Supported
Supported
ANR, OOM, App Hang Rates Monitoring
Supported
Supported
Apdex, Crash Free Sessions and Crash Free Users Monitoring
Supported
Supported
Customized Alerts and Integrations
Supported
Supported
Collect Actionable User Feedback
Collect Feedback After a Performance Issue
Supported
Investigate a Support Ticket using Session Replay
Supported
Debug Root Causes of Negative App Ratings
Supported
Advanced AI & autonomous resolution
Agentic AI for Root Cause Suggestion/Remediation
Supported
Autonomous Issue Resolution / Fix Validation
Supported
AI Prioritization
Supported
Supported
Pricing & implementation
Luciq offers predictable pricing based on daily active users and seats, plus a lightweight SDK for rapid, transparent deployment at scale.
Pricing Model
Per DAU/Seats
User Sessions (pay as you go)
Access to Core Features
Supported
Free: Up to 1M sessions/yr
Enterprise: Custom metrics & 30+ day retention

Why Luciq works best for
mobile-first teams

Luciq works alongside the observability tools you already use, adding the mobile depth they're missing:
‍
• Align teams around one quality metric
• Identify crash frequency and severity
• Receive contextual bug reports from users
• See exactly what your users are experiencing
• Debug and monitor app ratings and reviews
• Take full control of your phased rollouts
Illustration: why Luciq works best for mobile-first teams

Real teams. Real outcomes.
Happier users.

“Luciq gives us a real-time safety net; we’re detecting and patching issues in under 30 minutes, often before our users or even our backend systems realize something is wrong."
Tommy McIntosh
Staff Platform Engineer
Before Luciq, we didn’t have a workflow. With a single centralized location for app data, developers could now quickly assess which situations needed their attention most urgently and strategize best solutions faster.
Maxime Harter
Engineering Manager
We have integrations with Luciq to manage our releases and automatically label them. Then we're able to go in very quickly and look at all the issues that were reported on that release version.
DJ Tarazona
Director of Engineering