Lerix
Lerix: AI-assisted crash analysis with GitHub workflows, mobile/web coverage, and push messaging. Ranked #37 of 63 in Crash Reporting Software by our editors (5.0/10); pricing: Pricing on request; best for small teams wanting AI-assisted crash remediation.
At a glance
- Editor score5.0 / 10
- PricingPricing on request
- Best forSmall teams wanting AI-assisted crash remediation
- Mobile crash supportYes
- Facts checked20 Oct 2026
Where it wins
- Groups exceptions and ranks issues with device, OS, version, and breadcrumb context
- AI analyzes stack traces and proposes GitHub branch or issue actions
- Supports cloud or self-hosted deployment across mobile and web targets
Where it doesn't
- Pricing requires contacting sales
- Early-access/demo positioning may deter teams seeking a mature product
- Push-notification tooling may distract teams focused only on crash reporting
Our verdict on Lerix
Lerix is an application monitoring platform for teams building mobile and web applications. Its SDK captures crashes, errors, slow screens, device and operating-system context, app versions, and user breadcrumbs. Fingerprint-based grouping organizes exceptions and ranks issues for investigation. Coverage spans Flutter, iOS, Android, React, Next.js, Angular, and web applications, with cloud and self-hosted deployment options. Small and mid-market teams that want crash visibility alongside notification operations are the clearest fit.
The standout workflow connects Lerix to a GitHub repository so its AI assistant can analyze stack traces against application code. It can propose code changes and trigger GitHub branch and issue actions, while a native MCP server supports project and notification management through MCP-compatible AI agents. This makes Lerix relevant for teams already working in GitHub and seeking a path from an exception to a suggested remediation. Teams should expect to connect their repository and instrument supported SDK targets as part of adoption.
Lerix also includes a substantial push-notification layer: composition with images, sounds, and metadata; scheduling and targeting by topic, device, or audience; and per-device delivery status, updates, and unsend controls. Those controls broaden the platform beyond crash reporting, but they may be unnecessary for teams seeking a narrowly focused error-monitoring service. Pricing uses a contact-sales model, and the site describes an early-access/demo phase. Email and documentation are the stated support channels, while the refund policy references monthly and annual cloud subscriptions and self-hosted enterprise contracts. Choose Lerix for AI-assisted debugging, GitHub workflows, and combined notification management; consider a more established, crash-only alternative if procurement certainty is the priority.
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Lerix pricing
Lerix fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Mobile crash support | Yes |
| Web app support | Yes |
| Desktop app support | Not verified |
| Exception grouping | Yes |
| Stack-trace diagnostics | Yes |
| Monthly event limit | Not verified |
| Money-back guarantee | 7 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, iOS, Android |
| Support | Email, Docs |
| Built for | Small business, Mid-market (editorial estimate) |
| Integrations | 2 integrations: GitHub, MCP-compatible AI agents |
| Pricing | Pricing on request (source) |
| Website | atelerix.dev |
| Facts checked | 20 Oct 2026 |
Lerix integrations
Lerix lists 2 integrations on its own site.
- GitHub
- MCP-compatible AI agents
Alternatives to Lerix
- Firebase CrashlyticsA no-cost Firebase service for grouping crashes, tracking releases, and alerting teams.9.3
- BugSnagBroad error, release, and performance monitoring with cloud or self-hosted deployment.8.8
- BacktraceA broad crash-operations platform for native, mobile, PC, console, and server software.8.7
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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