Deep Research

Multi-step AI investigation within a single log file. Ask questions like "trace the attach failure through NAS messages" and the AI iteratively searches, analyzes, and builds a complete investigation.

Delta cross-layer analysis

Upload multiple files (modem export, logcat, and dmesg) and Delta correlates events across all layers. See how a modem-layer event connects to the Android framework.

Protocol-aware analysis

logcat.ai understands NAS message flows (EMM/ESM and 5GMM/5GSM), RRC state transitions, SIP dialog sequences, and their interdependencies across LTE and 5G NR, as protocol state rather than as text patterns.

AI root cause analysis

Pattern recognition across thousands of log lines identifies the root cause rather than the symptom. Trained on real-world telecom failure patterns.

Modem integration engineers

Chipset and OEM engineers debugging NAS attach failures, handover issues, RRC connection problems, and modem firmware crashes across the proprietary boundary.

VoLTE, VoNR and IMS engineers

Engineers working on VoLTE and VoNR call setup, IMS registration flows, SIP signaling, and voice quality across the IMS framework and chipset audio HAL.

Field test engineers

Drive test and field validation engineers analyzing coverage investigations, handover performance, and device-network interaction across regions.

Modem diagnostic logs

Plaintext modem diagnostic logs from any vendor: Qualcomm QCAT exports, MediaTek MTKLogger output, Samsung Shannon modem logs, or any tool that produces decoded NAS, RRC, PHY, and MAC messages.

Logcat radio logs

Android logcat output focused on telephony: RIL messages, TelephonyManager events, IMS registration, and modem trace data.

dmesg kernel logs

Linux kernel logs from the modem subsystem: driver initialization, firmware loading, crash traces, and hardware-level modem events.

IMS, VoLTE and VoNR captures

Network packet captures containing SIP signaling, IMS registration flows, and VoLTE/VoNR call setup messages for voice-over-IP debugging.

What log formats do you support?

A Qualcomm baseband capture as it came off the device, decoded on upload, and any plaintext log file: modem diagnostic exports from Qualcomm QCAT, MediaTek MTKLogger, Samsung CP logs, Android logcat (including radio buffer), dmesg/kernel logs, and pcap captures. For every vendor but Qualcomm, the log must be in human-readable text format.

Do I need specific vendor tools?

For a Qualcomm baseband capture, no. Upload it as it came off the device and we decode it for you. For other vendors you will still need their tools to capture and export modem diagnostic logs as plaintext: MediaTek ELT, Samsung ShannonDM, and so on. Either way, logcat.ai itself requires no special tools or plugins. If you already have plaintext logs from logcat, dmesg, or other sources, you can upload those directly.

Can you analyze binary/proprietary log formats?

Some of them. Qualcomm baseband captures upload directly, as they came off the device, and are decoded for you with no conversion step and no vendor tool. Other proprietary binary formats (MediaTek MCL, Samsung, and the rest) still need exporting to plaintext with their own vendor tools first, and we work with any plaintext output regardless of which tool produced it. Recognition is by content, not by file extension.

What modem protocols can you analyze?

Our AI understands NAS (EMM/ESM for LTE, 5GMM/5GSM for NR), RRC, SIP/IMS, MAC/PHY layer messages, and their interactions. It can trace issues across protocol layers and identify root causes. This is not an exhaustive list. The AI works with any plaintext protocol messages including GTP, RTP, PDCP, RLC, and others as long as they appear in your logs.

How does Deep Research work for modem-stack logs?

Deep Research performs multi-step AI investigations within your log file. It iteratively searches for relevant events, follows protocol flows across baseband and framework, and builds a comprehensive analysis, similar to how an expert engineer would manually trace through the logs, but in seconds.

What is Delta and how is it different from Deep Research?

Deep Research investigates a single log file in depth: it searches, analyzes, and follows protocol flows within one file. Delta is a multi-file comparison engine: you upload two or more log files (e.g., modem export + logcat radio + kernel log) and Delta correlates events across all of them. Use Deep Research when you have one file and a question. Use Delta when you need to connect events across multiple files, compare behavior between devices, or track down cross-layer issues.

Is my log data secure?

Your log data is encrypted in transit (TLS 1.3) and at rest (AES-256), processed in your own tenant, and never used to train AI models. Modem and baseband logs can carry vendor and network details; they are never shared between users. Files are deleted after 90 days, or immediately from your dashboard. Enterprise plans offer on-premise deployment for regulated or air-gapped environments.