Reduce mean-time-to-resolution by 10x. Diagnose crashes, ANRs, modem failures, kernel panics, and CAN bus faults across your entire device and vehicle fleet — automatically.
Drag and drop bugreports, logcat files, or kernel logs from ADB or any collection method.
logcat.ai correlates events across kernel, framework, and apps.
Your starting point for debugging. Run Deep Research to investigate or quick search to find answers fast.
Watch logcat.ai investigate a complex hardware decoder issue, get to the root cause and even find upstream patches to fix the issue
From app crashes to kernel panics to CAN bus failures — analyzed automatically across every layer
Crashes, ANRs, memory leaks, and system service failures across Android and Linux userspace.
Learn moreKernel panics, oops, driver probe failures, and device tree issues across ARM, x86, and RISC-V.
Learn moreCall drops, protocol failures, RAN issues, and modem diagnostic traces from Qualcomm, MediaTek, and Samsung basebands.
Learn moreCAN bus correlation, VHAL failures, IVI crashes, and cross-ECU debugging for Android Automotive.
Learn moreThermal throttling, battery drain, CPU scheduling anomalies, and memory pressure across your device fleet.
Learn moreWhether you're shipping phones, qualifying firmware, or managing vehicle and IoT fleets
Win on quality, not just price
Camera HAL failures have dozens of causes. logcat.ai pinpoints whether it's a sensor timeout, buffer allocation, or device tree issue.
Find the wakelocks, vendor services, or CPU scheduling issues causing overnight battery drain or performance throttling.
Catch random reboots, fingerprint failures, and framework crashes in pre-release testing—not from customer bugreports.
Crash reports show symptoms.
Senior engineers burn hours correlating events across kernel, framework, and app logs instead of shipping.
Crashlytics stops at the app layer. System-level issues go undiagnosed.
50MB bugreports can contain 1M+ lines of logs. Hours of manual correlation.
Delayed OTAs, field returns, support escalations, and warranty claims add up fast.
From instant lookups to autonomous investigations and multi-file comparisons
An autonomous AI agent that investigates your logs step by step. It searches patterns, correlates stack traces, looks up CVEs, and builds comprehensive reports with citations — all in minutes.
Ask questions in natural language and get direct answers in under 5 seconds. Find crashes, ANRs, warnings, or any pattern across your logs — no grep or command-line expertise needed.
Compare 2–3 log files side by side with AI-powered correlation. Detect regressions between builds, correlate events across kernel, framework, and app layers, and identify cross-file root causes.
From app crashes to kernel panics to modem failures — in one platform
While Crashlytics and Sentry excel at app-level monitoring, logcat.ai fills the gap for system-level and kernel debugging.
Dedicated cloud instances with custom data retention, SSO/OIDC, and compliance controls. SOC2 Type II certification in progress.
See how much logcat.ai can save your engineering team
* Based on 91% debugging time reduction reported by users. Salary defaults based on US averages for platform engineers (ZipRecruiter, Glassdoor 2025/2026).
Insights on Android debugging, kernel analysis, and AI-powered observability
Ford’s ITRM recall affecting 4.38 million vehicles reveals a race condition in CAN bus communication — the exact cross-layer failure pattern that demands better diagnostic tooling.
Introducing Delta — a multi-file comparison engine that correlates events across log files with AI. Purpose-built for Android OS debugging, telecom protocol analysis, and soon automotive. Three domains, one engine, zero silos.
The modem debugging workflow hasn’t changed in twenty years: proprietary formats, manual correlation, zero AI assistance. Here’s why the $22.6B wireless testing market is ripe for disruption — and what we’re building to fix it.
Everything you need to know about logcat.ai
logcat.ai is an enterprise AI-powered log analysis platform for Android and Linux systems. It provides automated root cause analysis across bugreports, logcat files, kernel logs, and telecom traces — reducing mean-time-to-resolution from days to minutes.
logcat.ai supports Android bugreport zip files, logcat text files (from ADB, Android Studio, or CI/CD), Linux kernel logs (dmesg), and telecom-specific formats like QXDM traces and modem diagnostics. Files can be up to 100MB+ depending on your plan.
Quick Search gives you instant answers in under 5 seconds — perfect for quick lookups like 'show memory warnings' or 'what caused the ANR?'. Deep Research is an autonomous AI agent that runs multi-step investigations over 5–10 minutes, correlating events across subsystems, looking up CVEs, and building comprehensive reports with citations.
Delta lets you compare 2–3 log files side by side with AI-powered correlation. It detects regressions between software versions, correlates events across kernel, framework, and app layers, and identifies cross-file root causes that single-file analysis would miss.
Yes. logcat.ai analyzes dmesg and kernel logs from any Linux system — Ubuntu, Red Hat, Raspberry Pi, embedded devices, and more. It supports ARM, x86, MIPS, and RISC-V architectures and detects kernel panics, oops, driver failures, and subsystem health issues.
Initial AI analysis of a bugreport or log file completes in under 5 minutes, even for 100MB+ files. Quick Search returns answers in under 5 seconds. Deep Research investigations take 5–10 minutes depending on complexity.
No, we don't offer a permanent free tier. However, we do offer a 30 day pilot program with full access to all features. Contact sales to get started.
Yes. Deep Research reports and Delta comparisons can be shared via public links. Anyone with the link can view the full analysis — no account required. This makes it easy to share findings with teammates, vendors, or support teams.
Yes. The Telecom plan includes dedicated analysis for QXDM traces, modem diagnostics, and RAN captures. It supports vendor-specific formats from Qualcomm, MediaTek, and Samsung modem tools and correlates modem events with Android logcat and kernel logs.
Your logs are encrypted at rest (AES-256) and in transit (TLS 1.3). Data is automatically deleted after 90 days. 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.
Engineering teams use logcat.ai to cut debugging costs by 91%