After every flight a better pilot.

SkyOwl is the analytics engine for aviation training. Automated grading, root-cause analysis, and an intervention library — built around the non-technical skills that drive flight-deck performance: judgement, awareness, communication, decision-making.

5,000+
Incident reports indexed
100h+
Instructor interviews
14,890
Knowledge graph nodes
CASA/EBT
Multi-framework native
01
Framework
— four phases

The closed loop. Every flight.

01
Brief

Prepare

Students brief tomorrow's flight with a study companion grounded in the org's manuals. Instructors review prior performance and lesson context.

02
Fly

Capture

During the flight or sim, instructors capture observations by voice or text. The engine maps them onto the org's competencies in real time.

03
Debrief

Diagnose

The thinking-board surfaces root causes, contributing factors, and diagnostic paths. The student participates in the analysis — the conversation is the work.

04
Recover

Prescribe

Plans ship to the student's inbox — quizzes, NTS mini-games, research challenges, coaching arcs. Effectiveness flows back into the next debrief.

02
Approach
— deeper, by phase

Train what the gradesheet misses.

01 Capture

Instructors talk. The system listens.

For: Instructor

Voice notes, text observations, gradesheet entries — captured during the flight or sim. The engine maps everything onto the org's competencies in real time, with a citation trail back to the original observation.

  • Voice in, structured grades out — no more end-of-day report writing.
  • Every grade cites its evidence; override any call in a tap.
  • Context-aware: aircraft, phase, student history all factored in.
▸ DEBRIEF · CKT 35 · YMPC VOICE · 14:32:08 "Late on flap config on downwind, missed the call from tower, recovered fine but rushed the final." → MAPPED · A3.6 Perform circuits and approaches → MAPPED · NTS1.2 Maintain situational awareness 8 OBSERVATIONS · 4 COMPETENCIES MAPPED · EVIDENCE LINKED
Capture surface
02 Diagnose

Students see the causal map, not just the verdict.

For: Student & Instructor

The thinking-board surfaces root causes, contributing factors, and diagnostic paths. Failures trace through eight layers — observable to indicator to root cause to intervention — across cognitive, physical, emotional, environmental, and interpersonal categories.

  • The student participates in the analysis. The conversation is the work.
  • Every node carries confidence, evidence, and edges to its causes.
  • Diagnostic actions and interventions are suggested live, not after.
▸ THINKING BOARD · RC-2 · ALT OSCILLATIONS ERROR Altitude oscillations — downwind Excessive control inputs throughout circuit CAUSE 5/5 CONF Trim not used to stabilise aircraft CAUSE 5/5 CONF Over-reliance on instruments PFD covered → perf. improved DIAGNOSE Cover PFD, retest cycle Confirm cause is instrument-led INTERVENTION Attitude flying basics INTERVENTION Reinforce scan technique · outside refs
Thinking board
03 Prescribe

Training trends → interventions at scale.

For: Training Manager

Live dashboards surface where the cohort is failing — by competency, aircraft, phase, instructor. Recovery plans, quizzes, and NTS mini-games are auto-drafted from your manuals and validated incident reports, then deployed to the right students with one click.

  • Trend visibility: which competencies trended weak this quarter, which improved.
  • Intervention library generated from your org's manuals + 5,000+ incident reports.
  • Effectiveness measured cohort-by-cohort. The loop closes itself.
▸ TRAINING MANAGER · ANALYTICS · 90D
44
sessions in window
16
≥1 failed competency
12
interventions deployed
A3.6 Perform circuits and approaches
NTS1.2 Maintain situational awareness
NTS2.1 Recognise and manage threats
03
Analytics

Your data → insights you can act on.

Each node is an observation, a cause, a diagnosis, or an intervention. Each edge is the evidence connecting them.

Errors Causes Diagnoses Interventions
drag to explore
▸ Explainable by design

Every grade cites its evidence.

Trace any failed competency back to the original observation, the inferred cause, and the recommended fix — with confidence scores on every edge.

▸ Your knowledge, your graph

Bring your own manuals.

Layer your org's SOPs, lesson plans, and incident reports into the graph alongside the analytical base. Every output cites both — yours and ours.

04
Library
— four resource types

Interventions, drawn from your manuals.

01
Quizzes

Knowledge quizzes

RAG-cited multiple-choice and short-answer drills, generated from manuals, SOPs, and the org's own training material. Every answer carries its citation.

+ Auto-generated · validated
02
Mini-games

NTS skill drills

Short interactive exercises targeting non-technical skills — situational awareness, decision-making, communication. Tuned to the student's weak competencies.

+ Adaptive · <5 min
03
Research

Manual lookup challenges

Scenario-based prompts that send students into the source documents — POH, MOM, ATC procedures — to extract the answer themselves. Builds the habit of going to the book.

+ Source-cited
04
Recovery

Multi-week coaching arcs

Structured plans for students who've consistently failed a competency — a sequence of briefings, drills, and instructor checkpoints over 2 to 6 weeks.

+ Tracked · effectiveness-scored
— why we built this —

Simulators teach control.
The debrief teaches judgement.

Modern training does an excellent job on stick-and-rudder skills — drilled into procedural memory through hours of sim time. Judgement, communication, and threat-and-error management are harder to drill and harder to grade. They're built one debrief at a time, and that's the loop SkyOwl is here to sharpen.

Get in touch.

Tell us about your training operation — flight school, regional, airline, or defence — and we'll tailor a 30-minute walkthrough to the workflow that matters most to you. No deck. No filler. Just the flight deck.

Email
info@skyowl.tech
Helpful to include
  • Your operation and role
  • Fleet, training framework (CASA, EBT, Part 141, etc.)
  • One workflow you'd most like to see