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AI-Powered Investigation

Deep Research for System Logs

Ask a question about your logs and let Deep Research autonomously investigate — searching, correlating, and building a comprehensive report across multiple analysis steps.

What is Deep Research?

Deep Research is an autonomous AI investigation engine that goes far beyond simple keyword search. It reads your logs, forms hypotheses, runs multiple targeted searches, and synthesizes findings into a structured report — just like a senior engineer would debug an issue.

  • Autonomously runs multiple search steps per investigation
  • Forms and tests hypotheses based on what it finds in each step
  • Correlates events across different log sections and time windows
  • Produces a structured report with evidence, root cause, and recommendations

Why Traditional Search Fails

Grep and keyword search work for simple lookups — but real debugging requires understanding context and connections.

Grep Only Finds Exact Matches

You need to know what to search for before you search. Grep can't discover unknown patterns or connect related events that use different terminology.

Manual Correlation Is Error-Prone

Jumping between logcat, dmesg, and bugreport sections trying to match timestamps and trace IDs — it's tedious and easy to miss critical connections.

Context Gets Lost Between Searches

Each grep command starts from scratch. There's no memory of what you already found or what patterns are emerging across your investigation.

Complex Issues Take Hours to Debug

Intermittent crashes, race conditions, and cross-layer failures require dozens of searches and deep domain knowledge to untangle.

How Deep Research Works

Deep Research investigates your logs autonomously, step by step.

Multi-Step Investigation

Deep Research doesn't just run one search — it plans an investigation strategy, executes multiple search steps, and refines its approach based on what it discovers at each step.

Follow-Up Questions

Not satisfied with the initial findings? Ask follow-up questions to dig deeper into specific areas. Deep Research retains full context from previous investigation steps.

Cross-File Correlation

Deep Research connects events across logcat, dmesg, bugreport sections, and more. It traces cause-and-effect chains that span system layers and time windows.

Structured Reports

Every investigation produces an organized report with key findings, supporting evidence from log lines, root cause analysis, and actionable recommendations.

See It in Action

Watch how Deep Research autonomously investigates a complex issue across multiple log sections.

Multi-Step Investigation

AI autonomously searches, correlates, and builds a comprehensive report

"Find the root cause of battery drain"
Parse Sections
Cross-Reference
Search Patches
Unified Analysis
Root Cause + Patches

WindowManager ANR trace

AOSP • Issue #234891

Works With All Log Types

Deep Research understands the structure and semantics of every log type logcat.ai supports.

Android Logs

Bugreports, logcat, ANR traces, tombstones, and dumpsys from phones, tablets, IVI, and IoT devices

Linux / Kernel Logs

Dmesg, kernel panics, driver probe failures, device tree issues, and syslog across ARM, x86, and RISC-V

Telecom Logs

Modem diagnostics, NAS/RRC protocol traces, QXDM exports, and RIL logs from Qualcomm, MediaTek, and Samsung basebands

Automotive Logs

CAN bus traces, VHAL events, CarService logs, and cross-ECU diagnostic data from Android Automotive

Who Uses Deep Research

Engineers across every vertical rely on Deep Research to solve their hardest debugging problems.

Device & Platform Engineers

Debug cross-layer issues across kernel, drivers, and framework on phones, tablets, and IoT devices. Deep Research connects the dots across system boundaries.

Telecom & Modem Engineers

Investigate NAS/RRC failures, call drops, and protocol signaling issues across modem diagnostic logs. Deep Research correlates RIL events with network state transitions.

Automotive Engineers

Trace CAN bus floods, VHAL callback storms, and IVI crashes across the full vehicle software stack. Deep Research connects ECU diagnostics with Android Automotive logs.

Frequently Asked Questions

Everything you need to know about Deep Research.

Deep Research is an AI-powered investigation mode that autonomously analyzes your uploaded logs in multiple steps. Instead of returning a single search result, it plans an investigation, runs multiple targeted queries, correlates findings, and produces a structured report with root cause analysis and recommendations.

Quick Search gives you a fast, single-pass answer to straightforward questions — great for 'what version is this device?' or 'show me the crash stack trace.' Deep Research is for complex investigations that require multiple search steps, hypothesis testing, and cross-referencing across different log sections.

Yes. After the initial investigation completes, you can ask follow-up questions that build on the previous findings. Deep Research retains full context from the investigation, so follow-ups are faster and more targeted.

Most investigations complete in 30 to 90 seconds, depending on the complexity of the question and the size of the log files. You can watch the progress in real-time as the AI executes each investigation step.

Deep Research works with all log types supported by logcat.ai: bugreports, logcat files, dmesg/kernel logs, and telecom diagnostic exports. It understands the structure of each format and can correlate events across different log types.

Deep Research is available on all paid plans. Each plan includes a monthly allocation of Deep Research queries. Check the pricing page for current plan details.

Start Investigating Your Logs

Upload a log file, ask a question, and let Deep Research find the root cause for you