Luciq
Luciq is a mobile-first platform that consolidates every app signal—crashes, ANRs, visual bugs, rage taps, and sentiment—into structured, agent-ready context. The platform captures 100% of sessions with no sampling, ranks issues by business impact, and provides an AI Companion for root-cause analysis and an Autopilot for automated fix generation with guarded releases.
- Developer Tools
- Artificial Intelligence
- Data & Analytics
- AI Agents
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Mobile engineering teams juggle multiple monitoring and analytics tools yet still miss mobile-specific signals that frustrate users, such as rage taps, ANRs, and visual bugs. AI agents only know what's uploaded to them, not what's happening in the app in real time, forcing teams to guess at what to build or fix next. This fragmentation creates a gap between raw telemetry and actionable, prioritized context.
Solution
Luciq provides a mobile-first platform that consolidates every app signal into structured, agent-ready context. A single SDK embedded in the app captures device telemetry at 100% of sessions with no sampling, auto-detecting crashes, ANRs, visual bugs, and funnel drop-offs. The platform ranks every issue by its impact on business goals like revenue, retention, or frustrated sessions, so teams always know what to work on next. An AI Companion guides users from issue to root cause with plain-language summaries, aggregated repro steps, and code-level analysis. The platform is built for MCP, delivering pre-summarized, token-efficient context to agents in Claude, Cursor, or custom frameworks. Autopilot extends this with automated bug fixing, generating ready-to-review pull requests and halting risky releases before damage spreads.
Target Audience
Primary customers are mobile engineering teams, product managers, and leadership at companies building mobile applications who need consolidated signal intelligence and AI-assisted debugging workflows.
Features
- Single SDK capturing 100% of sessions with no sampling, turning raw device telemetry into structured, agent-ready events
- Auto-detection of crashes, ANRs, and visual bugs with root-cause analysis pointing to exact code paths
- Business impact ranking that prioritizes issues by frustrated sessions, revenue, or retention metrics
- AI Companion with auto-prioritization, duplicate detection, plain-language summaries, and aggregated repro steps
- MCP-native architecture delivering pre-summarized context to agents in Claude, Cursor, or custom frameworks
- Autopilot automated fix generation with ready-to-review PRs, release halting, and feature flag rollback guardrails
- Plain-language query interface for asking questions of live data and building custom dashboards
- SOC 2 Type II and ISO 27001 certified with per-customer encryption keys and logical data isolation