Calmer conversations from better engine evidence.

AlaryIQ turns engine-monitor logs into readable review notes, grounded in the traces, phases, and data quality behind each cue.

AlaryIQ engine analytics interface displayed on a laptop inside an aircraft hangar

Why AlaryIQ exists

Engine monitor exports contain a lot of truth, but not much explanation. AlaryIQ organizes temperatures, fuel flow, electrical behavior, flight phases, and sensor confidence into a clearer story of how the engine operated.

AI, held accountable

Deterministic detectors keep the AI aligned.

AlaryIQ does not simply feed raw engine-monitor logs into AI and ask for an opinion. Each flight is first reviewed by deterministic detectors that look for defined patterns in phase of flight, sensor quality, CHT, EGT, cooling behavior, oil, electrical, fuel flow, cylinder trends, and other review cues.

Those detector outputs become a structured evidence packet. The AI Analysis Summary is generated from that packet, not from raw rows alone, so the summary stays grounded, repeatable, and advisory.

  1. 01 Detect

    Defined checks identify operating context, data quality, anomalies, and review cues.

  2. 02 Bind

    The evidence packet carries findings, windows, confidence, and caveats forward.

  3. 03 Translate

    AI turns bounded evidence into plain English without becoming the source of truth.

The detectors are the harness. The AI is the translator.

How AlaryIQ works

01

Upload log

Import engine-monitor logs in common formats. We never alter your data.

02

Normalize channels

We sync time, standardize units, and flag data quality issues so you know what is reliable.

03

Review cues

AlaryIQ runs each log through over 20 detection algorithms to surface anomalies, data-quality concerns, and other important review cues within phase context and benchmarks.

04

Share report

Generate clear review notes with traces, context, and quality indicators as a PDF or shareable link. Share with confidence.

Built around careful boundaries.

AlaryIQ helps turn engine data into clearer review context while keeping inspection, records, and maintenance decisions where they belong: with qualified people.

Evidence stays close

Every cue should point back to the measured behavior, time window, and source channel behind it.

Context changes the meaning

Climb, cruise, descent, and ground operations are treated differently because engines are operated differently.

People make the call

The product supports experienced review; it does not approve maintenance, determine airworthiness, or replace documentation.

Aircraft engine compartment with exposed cylinders, ignition leads, and firewall-forward systems

Bring the log, keep the judgment.

Use AlaryIQ to organize the review conversation around what the data actually shows, what context matters, and what a qualified person should inspect next.