logcat.ai investigates crashes, kernel panics, and cross-layer failures like a senior engineer — autonomously tracing root causes across kernel, framework, modem, and application layers.
Today's debugging workflow is broken. Engineers spend hours jumping between grep, log viewers, and tribal knowledge — manually correlating timestamps across kernel, framework, and app layers to find a root cause that should take minutes.
Dashboards tell you something is wrong. Crash tools stop at the app layer. Nobody connects the dots across the full system stack — until now.
logcat.ai is the autonomous debugging system that investigates your logs like a senior engineer, so your team ships faster.
The manual debugging workflow doesn't scale.
Engineers jump between grep, log viewers, vendor tools, and Jira — manually aligning timestamps across kernel, framework, and app layers to trace a single issue.
Crashlytics and Sentry catch app exceptions. But system_server crashes, kernel panics, modem failures, and driver issues go undiagnosed.
Only 2-3 senior engineers can debug cross-layer issues. When they're unavailable, issues queue up for days. Knowledge walks out the door when they leave.
Every day a release-blocking bug goes unresolved means delayed OTAs, warranty claims, field returns, and support escalations.
Deep Research and Delta are the core investigation workflow at the heart of logcat.ai
Why did this happen? — Deep Research autonomously investigates your logs in multiple steps, forming hypotheses, correlating events across system layers, and building a root-cause report with evidence and recommendations.
Ask questions in natural language and get direct answers in under 5 seconds. Find crashes, ANRs, warnings, or any pattern — then launch Deep Research when you need the full investigation.
What changed that caused it? — Compare logs across versions, devices, or builds to isolate regressions. Delta traces differences across kernel, framework, and app layers to pinpoint exactly what broke.
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
Where app crash tools stop, logcat.ai keeps going — across kernel, drivers, modem, and vehicle layers
While Crashlytics and Sentry excel at app-level monitoring, logcat.ai fills the gap for system-level and kernel debugging.
Upload bugreports, logcat, or kernel logs — each is a doorway into the full investigation engine
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.
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 multiple 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 general free plan. We offer enterprise pricing and a 30 day pilot program with full access to all features. We also continue to support an application-based OSS program for eligible open source contributors.
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.
Run logcat.ai on your own logs. See root causes in minutes, not hours.