AVIARACapture every session
Bring simulator telemetry, aircraft data, and debrief context into one searchable picture.
Adaptive pilot proficiency
Every flight should shape the next one.
Aviara turns simulator and real-flight data into adaptive scenarios, focused debriefs, and a training plan built around each pilot.
â–± Simulator + real-flight intelligenceBuilt for better judgment
CROSSWIND LANDING · KSEA 16L ◠Live scenario
Airspeed 138 kt
Wind 20° 18 kt
Performance 86/100
SCENARIO ADAPTEDWind shear added after recurring instability on right-of-center approaches.
Built for the teams responsible for readiness
Flight schoolsAirline teamsTraining centersIndividual pilots
A continuous training record
Training shouldn’t reset when the session ends.
Each flight reveals something. Aviara keeps that knowledge alive—turning simulator performance, instructor debriefs, and flight data into a record that guides what comes next.
ONE
proficiency record across every source
NEXT
scenario shaped by observed needs
CLEAR
context for instructors and trainees
Initial session
Unstable crosswind approach
Unstable crosswind approach
Next scenario
Improved stability under load
Improved stability under load
One proficiency picture
Simulator. Aircraft. One living record.
See patterns across the practice that happens in the box and the decisions that happen in the air.
Pilot Proficiency Record
Approach stability78
Energy management82
Checklist discipline88
Radio workload76
Adaptive scenarios01 02 03
The scenario changes because the pilot did.
Aviara uses the learning signal behind a session to make the next practice more relevant—not merely more difficult.
Find the pattern
See what repeats across approaches, maneuvers, conditions, and time—not just what happened once.
Build the next challenge
Create targeted scenarios and a personalized training path with the instructor in command.
Scenario composer
✈ Gusts +6 kt
â–³ Late runway change
âš Hydraulic caution
☠IMC arrival
KSEA â—‰ KPDX
ACTIVE CONDITIONS
Gusts, late runway change,
hydraulic caution, IMC arrival
ACTIVE CONDITIONS
Gusts, late runway change,
hydraulic caution, IMC arrival
How it works
From evidence to better judgment.
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1. Ingest
Collect data from simulators, aircraft, and instructor notes.
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2. Diagnose
Find patterns and gaps in performance.
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3. Generate
Create adaptive scenarios targeted to each pilot.
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4. Verify
Track improvement and close the loop.
Built for real-world training
Different roles. A stronger standard.
Flight schools
Build better pilots, faster, while giving each instructor the context to coach consistently.
- Track progress from day one
- Build better practice plans
Airline training teams
Turn a fleet of sessions into a clearer view of readiness, recurring risk, and targeted remediation.
- Standardize training insight
- Identify risk early
Individual pilots
Understand which skills deserve attention before the next check, lesson, or demanding flight.
- Focus practice time
- Build confidence
Human judgment stays central
AI proposes. Instructors stay in command.
Aviara surfaces patterns and recommends scenario ingredients. Instructors apply their experience, operational context, and judgment.
Increase crosswind component+6 kt
Add hydraulic cautionHYD 2
Change arrival to IMC2,000 ft
Operational by design
Designed for training. Governed like operations.
Keep the evidence behind every training decision clear, reviewable, and appropriately controlled.
â—ˆPermission boundariesMajor controls by role
â–¤Audit trailTrack changes and conclusions
♧Instructor approvalHuman review stays in the loop
â–£Encrypted dataProtected in transit and at rest