Debug Your Fleet, Not One Device at a Time
AI that diagnoses failures across your entire Android device portfolio. From app crashes through kernel panics to driver incompatibilities — root cause in minutes, not weeks.
Why Large Android Fleets Are Hard to Debug
The scale of modern device portfolios breaks traditional debugging workflows
Senior engineer bottleneck
Cross-layer failures spanning app, framework, HAL, kernel, and hardware require rare expertise. Your 3 senior platform engineers are the bottleneck for every release-blocking issue.
Release-blocking failures need senior engineers
When a critical bug blocks a firmware release, it always escalates to senior staff. They spend days in bugreports while the release timeline slips and the rest of the team waits.
Field returns cost 30-100x more to fix
A bug caught in the lab costs one engineer-day. The same bug discovered through field returns costs device recalls, warranty claims, OTA emergency patches, and brand damage.
Failures cross every layer of the stack
A camera crash might originate in the HAL, propagate through a kernel driver, involve a device tree misconfiguration, and manifest as a framework ANR. No single tool connects app to silicon.
Cross-Layer Root Cause Detection
logcat.ai traces failures from the symptom you see all the way down to the root cause you need to fix — across every layer of the Android stack.
Camera app crashes with SurfaceTexture error. Logcat shows native crash in libcamera_client.so.
CameraService reports HAL device disconnection. system_server shows binder transaction failure to camera HAL process.
dmesg reveals GPU fault in display compositor. Memory allocation failure in ION/DMA-BUF heap during buffer sharing between camera and display.
Display driver reports panel controller timeout. Root cause: firmware mismatch between display panel controller IC revision and BSP driver version.
logcat.ai correlates events across logcat, system services, kernel logs, and device state — automatically connecting the app-visible symptom to the hardware-level root cause.
Real Investigation: Random Reboots After Firmware Update
See how logcat.ai traces a fleet-wide failure to its root cause in minutes instead of weeks.
The Problem
Random reboots reported across a subset of devices after a firmware update. Devices reboot without warning 2-5 times per day. The issue affects roughly 15% of units on the new firmware, with no clear pattern visible from crash reports alone.
logcat.ai traces the root cause
system_server crash detected in logcat — SurfaceFlinger dies with SIGSEGV in libhwcomposer.
Kernel panic found in dmesg immediately preceding system_server death — display driver triggers BUG() in panel refresh path.
Delta comparison of affected vs unaffected devices reveals: affected units have a different display panel controller firmware version (panel variant B vs A).
Root cause isolated: new BSP display driver is incompatible with panel variant B's controller firmware. Panel variant B uses a different refresh timing that triggers a race condition in the new driver's vsync handling code.
Root Cause
Display driver compatibility issue with one panel variant. The new BSP driver assumes a specific vsync timing that panel variant B does not support. Fix: add panel variant detection in the driver init path and use the correct timing parameters.
Weeks of field failure analysis. Ship devices to lab, reproduce under controlled conditions, correlate crash dumps across kernel and framework, escalate to BSP vendor.
10 minutes. Upload bugreports from affected and unaffected devices, run Delta comparison, get root cause with cross-layer trace and fix recommendation.
Before and After logcat.ai
How field failure diagnosis changes with AI-powered fleet debugging
Before logcat.ai
Field return reported — customer ships device back to you
Device arrives at lab after days of transit
Engineer attempts to reproduce the issue on the physical device
Manual bugreport capture and analysis — grep through millions of lines
Escalate to senior platform engineer (they are busy with other escalations)
Senior engineer correlates logcat, dmesg, and dumpsys manually
Root cause identified — but fix validation requires another cycle
Total time: 1-3 weeks per field failure
With logcat.ai
MDM collects bugreport remotely from the device in the field
Upload to logcat.ai — 10-subsystem parallel analysis runs automatically
Cross-layer root cause identified in minutes with full trace
Delta comparison confirms which firmware version or SKU variant is affected
Fix shipped in the next OTA — no device return, no lab time
Total time: minutes to hours, not weeks
One Platform, Complete System Visibility
Every tool you need to debug Android devices at fleet scale — bugreport analysis, real-time logs, kernel debugging, autonomous investigation, and cross-device comparison — in a single platform.
Bugreport Analysis
10-subsystem parallel analysis of full system diagnostics
Logcat Analysis
Application and framework event log parsing and anomaly detection
Kernel / Dmesg
Driver failures, kernel panics, device tree issues, and thermal events
Deep Research
Autonomous multi-step investigation that traces root causes across layers
Delta Comparison
Compare devices, firmware versions, or SKU variants side by side
Bugreport + Logcat + Dmesg + Deep Research + Delta = complete cross-layer debugging for any Android device, any firmware version, any field condition.
Built for Device Engineers
AI-powered tools designed for the unique challenges of Android fleet debugging
10-Subsystem Parallel Analysis
Automatically analyzes Applications, System Services, Memory, Power, Network, Storage, Security, CPU, and more — in parallel. Results in under 5 minutes, regardless of file size.
Deep Research
An autonomous AI agent that investigates complex issues step by step. Searches patterns, correlates stack traces, looks up CVEs, and builds comprehensive root cause reports — the senior engineer that never sleeps.
Delta Comparison
Compare bugreports across firmware versions, device variants, or affected vs unaffected devices. Isolate regressions and identify exactly what changed between builds.
Learn more about DeltaCross-Layer Correlation
Traces issues from app crashes through framework services, system server, HAL, and kernel — identifying the true root cause across the full Android stack, not just the symptom.
Autonomous Investigation for Device Issues
Deep Research traces issues across the full Android stack automatically — like having a senior platform engineer investigate every failure
Cross-Layer Device Investigation
Multi-step analysis across application, framework, and kernel layers
Cross-layer correlation complete
Track Regressions with Delta
Upload bugreports from different firmware versions, device variants, or affected vs unaffected devices. Delta identifies new crashes, changed behavior, and regressions — the key to fleet-wide debugging.
Delta Correlation Engine
Multi-file cross-layer analysis
Who Uses This
Engineers across the Android device development lifecycle
Pre-Release QA
Catch system_server crashes, fingerprint failures, and framework issues in pre-release testing — not from customer bugreports.
Field Failure Diagnosis
Upload MDM-collected bugreports from field devices. Get root cause analysis without shipping the device back to the lab.
Firmware Regression Tracking
Use Delta to compare bugreports across firmware versions. Find exactly which build introduced the regression and what changed.
What We Analyze
Upload logs from phones, tablets, wearables, and custom Android devices
Full system diagnostics including logcat, dumpsys, kernel logs, and system properties from any Android device
Application and framework event logs captured via ADB, MDM, or on-device logging tools
Device tree issues, driver probe failures, thermal zone events, memory pressure, and kernel panics
System service state dumps — battery stats, wifi, display, activity manager, and 30+ subsystems
How to Collect Your Logs
Standard Android tools — no custom instrumentation required
ADB Bugreport
- 1.Connect USB or WiFi ADB to device
- 2.Run adb bugreport
- 3.Upload the generated .zip file
ADB Logcat
- 1.Run adb logcat -d for a snapshot
- 2.Or adb logcat -f for continuous capture
- 3.Upload the .txt log file
MDM Collection
- 1.Configure Knox, Esper, SOTI, or custom MDM
- 2.Schedule bugreport collection remotely
- 3.Bulk upload collected logs
Kernel Logs
- 1.Run adb shell dmesg on device
- 2.Or extract from bugreport zip
- 3.Upload for BSP and driver analysis
logcat.ai supports bugreport .zip files up to 100MB+, plain text logcat, and raw dmesg output. No proprietary tools required.
Frequently Asked Questions
Common questions about device manufacturer log analysis
logcat.ai supports Android bugreport .zip files, plain text logcat output (all formats: threadtime, brief, time), raw dmesg output, and dumpsys text dumps. We handle files from any Android version 8.0+.
We routinely process bugreports over 100MB containing millions of log lines. The AI analysis typically completes in under 5 minutes regardless of file size.
Yes. Delta accepts multiple bugreports and compares them side by side — identifying new crashes, changed behavior, performance regressions, and driver failures that appeared between firmware versions.
Deep Research is an autonomous AI agent that investigates issues step by step. It parses logs, identifies anomalies, correlates events across subsystems, searches for known issues and CVEs, and builds a comprehensive root cause report with citations — typically in 5-10 minutes.
We support Linux kernel logs (dmesg) from any embedded Linux device. For full bugreport analysis, the device needs to run Android (AOSP or custom builds). We also support embedded Linux distributions like Yocto, Buildroot, and OpenWrt for kernel-level analysis.
All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your log data is never used to train AI models. SOC2 Type II certification is in progress. Enterprise plans include SSO/OIDC and custom data retention policies.
There's no setup required. Upload a bugreport or logcat file through the web interface and get analysis results in minutes. For enterprise deployments, we offer dedicated cloud instances with SSO/OIDC, custom retention, and API access.
See it in action
Request a demo to see how logcat.ai can transform your fleet debugging workflow.