Luciq is an agentic AI platform for mobile observability and experience that automates detection, resolution, and prevention of mobile app issues at scale.
Luciq is the Agentic Observability Platform for Mobile. Our intelligent AI agents detect, prioritize, and resolve issues across the app lifecycle, empowering teams to ship faster, deliver frustration-free sessions, and focus on building what matters.
All-in-one mobile observability platform covering the full lifecycle from testing to production monitoring, including observability, intelligence, resolution, and prevention mod...
Unified command-line interface for uploading symbol files, querying production data (crashes, bugs, APM metrics), and managing workspaces via scripts and CI pipelines.
Model Context Protocol server that enables AI agents to search documentation, manage alert rules, and query observability data through natural language.
What customers say
“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 HarterLuciq customer
“Because of Luciq, we are now 99.9% crash-free on Android. And on iOS we dropped by a factor of five. And this was the first go around. The application became very stable and quite robust because it has Luciq to track and measure and manage crash data.”
Mohammad HaririLuciq customer
“Luciq gives us a finger on the pulse of our users and their experience, helping us catch and fix major issues in production before their impact grows.”
Vivek KaruturiLuciq customer
Luciq Platform
Saturn uses Luciq’s bug and crash reporting, automated routing and workflow integrations to centralize QA reports. Luciq reports an over-85% reduction in time spent collecting and sorting issues, to 2–3 hours per weekly…
Figma uses Luciq across internal builds and live mobile apps to collect contextual feedback and route issues through Slack, Asana and Zendesk. Luciq reports reduced effort and time for logging and triaging issues.
Dabble deployed Luciq’s mobile observability platform to unify crash analytics, performance monitoring and session replay. Luciq reports 50–60% lower MTTR, more than 20 engineering hours reclaimed weekly per lead…
Luciq Launches Anthropic Claude Integration for Automated Incident Workflow
Luciq has launched an integration with Anthropic Claude Code that enables automated agentic workflows for engineering teams. The integration forwards structured event payloads—including bug reports, crash data, and application performance metrics—to custom Anthropic Claude routines. These routines use predefined system prompts to determine how agents should handle incidents, allowing for automated triage or investigation. Users can optionally connect Luciq as a custom connector to allow Claude to query real-time data within the Luciq dashboard.
Luciq Introduces Automatic Bug Grouping and Triage
Luciq has introduced automatic bug grouping to its reporting platform. By utilizing semantic matching of bug descriptions along with supplemental signals like network logs and user session steps, the platform now automatically identifies and aggregates duplicate bug reports into master groups. This feature reduces manual triage time and provides a unified view of incident impact. Automatic grouping distinguishes between system-detected clusters and manually curated reports, while allowing team actions on a master report to propagate across all associated duplicates.
Company news
Luciq Releases PII Masking Linter for Mobile Applications
Luciq has released an open-source tool, the Luciq PII Masking Linter, designed to identify and flag unmasked personally identifiable information (PII) including card numbers, email addresses, and passwords in mobile applications. The linter integrates into development workflows for iOS and Android, supporting both local IDE environments and continuous integration pipelines to prevent unmasked data from reaching production. It functions as a gate for compliance with standards such as GDPR, HIPAA, and PCI by analyzing code and configuration files.
Product launch
Luciq Launches AI-Powered Opportunities Feature for Product Roadmap Planning
Luciq has moved its "Opportunities" feature into beta within the platform's Inbox. The tool uses AI to scan incoming bug reports and app store reviews hourly to identify recurring user feedback themes. These themes are synthesized into a prioritized list of product improvements, ranked by impact, and linked to the source evidence. The feature aims to streamline product roadmap decisions by automating the identification of user pain points, replacing manual analysis of disparate feedback sources.
