Luciq unifies mobile crash, performance, and sentiment signals into AI-ready context, helping teams detect, diagnose, and resolve app issues faster.
Category
AI
Pricing
Luciq uses a single pricing model based on Daily Active Users (DAU) plus member seats, with no charges for logs, sessions, or traces and no hidden fees. Two support tiers are offered (standard business-hours 'Foundation' and 24/7 'Premier'), but no dollar figures are publicly disclosed — prospective customers must book a demo for a quote.
Verified
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Last updated
August 6, 2026
SaaSSOC 2 CompliantiOSMobile AppAndroidAI
Luciq is a mobile observability platform built for AI-era engineering teams. It captures signals from essentially every mobile session at the device edge, including crashes, performance issues (like frozen frames and dead taps), business/engagement funnels, drop-off tracking, and user sentiment from surveys and reviews. Rather than leaving teams to sift through raw logs, Luciq structures this data into what it calls 'agent-ready context' that both humans and AI coding/debugging agents can use directly. Its 'Companion' layer turns session data into coherent, reproducible incident narratives and can be queried in natural language or via the Model Context Protocol (MCP) from tools like Claude and Cursor. Its 'Autopilot' layer goes further, generating pull requests, managing releases with automatic rollback, and autonomously resolving certain classes of issues. Luciq supports iOS, Android, React Native, and Flutter apps, and is positioned for enterprise use cases such as fintech and banking with features like device-level PII masking, SSO/SAML/SCIM, and SOC 2 Type II and ISO 27001:2022 compliance. It lists customers including Figma, DoorDash, Disney, AB InBev, GM, and Decathlon, and holds G2 recognition as a Momentum Leader in Mobile Crash Reporting and a Leader in DevOps.
Key Features
Signals — Captures crashes, performance issues (frozen frames, dead taps), business/engagement funnels, drop-off tracking, and user sentiment from surveys and reviews across nearly all mobile sessions.
Companion — An AI debugging partner that turns raw session data into coherent, reproducible incident narratives, queryable via chat or the Model Context Protocol (MCP) from agent tools like Claude and Cursor.
Autopilot — Automates remediation by generating pull requests, managing releases, and rolling back deployments automatically if quality degrades.
Cross-platform mobile support — Supports iOS, Android, React Native, and Flutter apps, with dashboard, CLI, and API access.
Enterprise security and compliance — SOC 2 Type II certified, ISO 27001:2022 compliant, GDPR/DPA compliant, third-party penetration tested, with SSO/SAML/SCIM provisioning and device-level PII masking for regulated industries.
Pros & Cons
Pros
Consolidates crash, performance, engagement, and sentiment signals into a single, structured view instead of raw logs
AI-native workflow: MCP integration lets agent tools like Claude and Cursor query incident context directly
Autopilot can automate PR generation and release rollback for faster incident resolution
Enterprise-grade security posture: SOC 2 Type II, ISO 27001:2022, GDPR/DPA compliance, and third-party penetration testing
Established enterprise customer base (Figma, DoorDash, Disney, AB InBev, GM) and G2 recognition
Cons
No public pricing figures; buyers must book a demo to get a quote
DAU-plus-seat pricing model can make costs unpredictable for apps with volatile usage
Autonomous 'Autopilot' remediation features may require careful governance/trust before enabling in regulated or safety-critical apps
Enterprise-oriented feature set and support tiers may be more than smaller indie mobile teams need