GALIOT AI
Applied Aviation Safety Co-Intelligence

GALIOT AI - Applied Aviation Safety Co-Intelligence

GALIOT AI serves as an intelligent safety co-pilot across your compliance and safety operations. Designed in line with EASA AI trustworthiness concepts, it works behind the scenes to uncover hidden operational trends while providing instant report summaries and proposed classifications directly to your analysts. By turning heavy report volumes into structured, actionable insights, GALIOT AI speeds up risk evaluation while leaving final authority entirely in human hands.

Discover how GALIOT AI supports your team in complex safety and compliance management tasks:

Hazard, Occurrence Risk, and Human Factors (HFACS) Classifiers

Transforms raw safety report data into clear, actionable insights—instantly
The AI analyzes incident context data and narrative descriptions to automatically identify operational hazards and assess occurrence risk.
It detects and classifies underlying human factors and preconditions based on the HFACS framework.

Key Benefit:Accelerates newly received report triage by proposing automated HFACS classifications and risk levels directly to analysts, significantly reducing processing cycles while keeping final safety calls strictly in human hands.

(EASA Classification Level: 1B)

Operationalize the Triangulation Audit Framework

Converts complex regulatory texts into actionable Review (documentary), Verify (empirical), and Interview (testimonial) audit steps!
This establishes three robust, cross-validated evidence streams for comprehensive compliance verification.

Key Benefit:Ensures complete audit coverage with multi-source verification, dramatically reducing missed non-conformities during internal and external audits.
Accelerates audit preparation by instantly transforming complex EASA/FAA regulations into clear, field-ready audit steps.

(EASA Classification: Level 1B)

Multilingual Voice-to-Text Engine

Using advanced LLM speech processing to translate and transcribe voice recordings into clear report descriptions.
It allows crew members and auditors to dictate detailed safety narratives on the go, converting spoken audio into accurate, structured text.

Key Benefit:Increases reporting volume from flight deck and maintenance crews by making report submission effortless on mobile devices. Captures precise operational details while events are fresh in memory, preventing critical information loss caused by delayed written entries.

(EASA Classification: Level 1A)

Incident Summarization & Key Safety Data Extraction

Automatically converts raw incident narratives into clear executive summaries and extracts critical operational parameters (e.g., flight phase, A/C components, weather, ATC instructions).
This enables safety teams to rapidly evaluate context, prioritize risks, and share vital insights.

Key Benefit:Expands safety team visibility into complex reports by surfacing immediate executive summaries and key operational parameters, ensuring faster comprehension without replacing human evaluation.

(EASA Classification: Level 1A)

Non-Conformity and Finding Description Drafting

Transform raw auditor-filed notes, evidence evaluations, and regulatory mandates into a clear, standardized non-conformity description.
This helps lead auditor to establish professional, and objective communication with the audited process owner.


Key Benefit: Saves critical time for lead auditors by providing clear, standardized finding drafts that enrich understanding while leaving all final finding description approvals entirely to the lead auditor.

(EASA Classification: Level 1A)

Recurring Occurrence Identification

Vectorizes unstructured report narratives and operational context data to compute similarity across all historical records.
It helps the safety team to pinpoint repeating incidents and hidden trend patterns.

Key Benefit:Automatically flags repeating incident patterns across historical databases without direct user interaction or influencing decision outcomes, serving purely as a background intelligence engine.

(EASA Classification: Level 0)

Hidden Hazards & Anomaly Detection

Leverages unsupervised ML to group hidden hazard clusters and track emerging risks.
The engine Isolates outliers and anomalous patterns to spot potential Black Swan events before they occur.

Key Benefit:Automatically flags repeating incident patterns across historical databases without direct user interaction or influencing decision outcomes, serving purely as a background intelligence engine.

(EASA Classification: Level 0)