Who is Luciq best for?

Luciq is built for Mobile engineering teams at mid-market and enterprise companies, iOS and Android app developers and QA engineers, Directors of Engineering and VPs of Engineering managing high-velocity mobile release cycles, Mobile product managers needing user feedback and experience analytics. Common use cases include Mobile crash detection and MTTR reduction for iOS and Android apps; Automated QA triage and bug routing during beta testing and release cycles; Production app stability monitoring and regression detection post-release.

Luciq uses a DAU-based (Daily Active Users) SaaS pricing model with seat-based add-ons. There are no self-serve or publicly listed pricing tiers; all plans are enterprise and require a sales conversation or demo request. The pricing page states charges are per DAU and per member seat, with no charges for logs, sessions, or traces. Enterprise plans include SSO/SAML/SCIM, SOC 2 Type II compliance, RBAC, global data hosting, and standard support. A Premier Support tier adds 24/7 coverage, dedicated Slack channels, and a dedicated L2 engineer. Historical G2 data suggests annual contract values in the mid-to-high four-figure to five-figure range based on limited purchase data.

What are the alternatives to Luciq?

Common Error Tracking & Crash Reporting alternatives to Luciq include Sentry, Bugsnag, Rollbar, LogRocket, Raygun. See the full comparison hub at /verticals/error-tracking-crash-reporting/compare.

What do users praise about Luciq?

Users frequently praise: Rich crash context with repro steps, network logs, and device metadata; Easy and fast SDK integration across iOS, Android, and React Native; Tight workflow integrations with Jira, Slack, and project management tools; Significant reduction in bug triage and resolution time; Comprehensive crash reporting with screenshot and video capture; Responsive and helpful customer support team; Centralized dashboard for issue prioritization and release tracking.

What are common complaints about Luciq?

Frequently cited limitations: No web application support; mobile-only platform; Enterprise pricing not accessible to small teams or indie developers; Dashboard UI described as functional but not visually polished; SDK dependency occasionally caused host-app instability in older versions; AI/triage features perceived as limited prior to the 2025 agentic AI launch.

When was Luciq founded and where?

Luciq was founded in 2013, headquartered in San Francisco, USA (engineering hub in Cairo, Egypt) by Omar Gabr, Moataz Soliman.

Luciq reports 190-260 employees.

AI visibility report

AI visibility report for Luciq in Error Tracking & Crash Reporting.

Outside the top three on 25 of the 25 prompts buyers actually ask.

Sentry is cited on 25 of those losses.

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6 platforms

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Presence Rate

Low presence

Still absent from 100% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

No clearrank

Peer Ranking

#1#11

No clear rankin Error Tracking & Crash Reporting

Key Metrics

Presence Rate

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Docs Presence

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Platform Breakdown

Gemini Search

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Perplexity

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Luciq, rebranded from Instabug in September 2025, is a San Francisco-based mobile observability platform founded in Egypt in 2013. Originally built for mobile bug and crash reporting, the platform has evolved into what the company calls an Agentic Mobile Observability solution—using autonomous AI agents to detect, diagnose, and resolve mobile app issues proactively before users are impacted. The platform serves iOS, Android, and cross-platform (React Native, Flutter) apps and covers the full mobile lifecycle: crash reporting, session replay, application performance monitoring (APM), in-app user feedback, release management, and AI-driven resolution. Backed by Y Combinator, Accel, and Insight Partners with over $50M raised, Luciq is used by enterprises including DoorDash, T-Mobile, Verizon, Lyft, Disney, and AB InBev.

Luciq (formerly Instabug) is a mobile-exclusive Agentic Observability platform that uses AI agents to proactively detect, prioritize, diagnose, and resolve quality issues across iOS, Android, and cross-platform mobile apps throughout the full app lifecycle—from beta testing through production monitoring and release management.

Reviews

4.3/5G2·238+

Praised

Rich crash context with repro steps, network logs, and device metadata
Easy and fast SDK integration across iOS, Android, and React Native
Tight workflow integrations with Jira, Slack, and project management tools
Significant reduction in bug triage and resolution time
Comprehensive crash reporting with screenshot and video capture
Responsive and helpful customer support team
Centralized dashboard for issue prioritization and release tracking

Criticized

No web application support; mobile-only platform
Enterprise pricing not accessible to small teams or indie developers
Dashboard UI described as functional but not visually polished
SDK dependency occasionally caused host-app instability in older versions
AI/triage features perceived as limited prior to the 2025 agentic AI launch

Luciq holds a 4.3/5 rating on G2 across 238 reviews. Users consistently praise its ease of SDK integration, richness of crash context (repro steps, network logs, screenshots, device metadata), and tight workflow integrations with tools like Jira and Slack. QA and engineering teams highlight significant time savings in bug triage and resolution. Common criticisms include pricing that is not accessible to small teams, limited support for web applications, and—in older reviews—a desire for more AI-native triage features (which the company has since addressed with its 2025 agentic AI launch). Capterra and Software Advice reviewers echo the praise for bug context richness and note strong customer support responsiveness.

Prompt	Gemini Search	Perplexity	Bing Copilot	ChatGPT	Google AI Mode	Grok
Capability0/5 cited (0%)
Which error tracking platforms handle background job errors as well as request-response errors from a web server?	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited
Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos
1	Sentry	54.0%	42.3%	42.0%	7.3%	96.7%	#21.0
2	Bugsnag	38.7%	24.6%	37.3%	0.7%	67.3%	#29.4
3	Rollbar	34.7%	19.8%	24.7%	9.3%	57.3%	#34.8
4	LogRocket	10.7%	3.3%	2.0%	2.0%	14.0%	#28.6
5	Raygun	10.7%	4.0%	1.3%	10.0%	13.3%	#35.9
6	TrackJS	10.0%	3.6%	0.7%	1.3%	2.7%	#31.9
7	Highlight.io	2.0%	1.5%	0.7%	0.0%	3.3%	#56.4
8	Embrace	1.3%	0.5%	0.0%	1.3%	0.0%	#16.7
9	Airbrake	1.3%	0.3%	0.7%	0.0%	6.0%	#52.5
10	Jam.dev	0.0%	0.0%	0.0%	0.0%	0.0%	—
11	Luciq	0.0%	0.0%	0.0%	0.0%	0.0%	—

Developer Experience0/5 cited (0%)
What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place?	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited

Integrations & Ecosystem0/5 cited (0%)
Which error tracking platforms have the best two-way sync with issue trackers so bugs automatically get created and closed in the right project board?	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited

Performance & Reliability0/5 cited (0%)
What event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows?	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited